diff --git a/java-aiplatform/README.md b/java-aiplatform/README.md index 72ffc1b738c7..3de6f858c3e9 100644 --- a/java-aiplatform/README.md +++ b/java-aiplatform/README.md @@ -19,20 +19,20 @@ If you are using Maven, add this to your pom.xml file: com.google.cloud google-cloud-aiplatform - 3.7.0 + 3.8.0 ``` If you are using Gradle without BOM, add this to your dependencies: ```Groovy -implementation 'com.google.cloud:google-cloud-aiplatform:3.7.0' +implementation 'com.google.cloud:google-cloud-aiplatform:3.8.0' ``` If you are using SBT, add this to your dependencies: ```Scala -libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "3.7.0" +libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "3.8.0" ``` ## Authentication diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java index 690e168597b2..20475d2ab761 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java @@ -79,7 +79,10 @@ * datasetServiceSettingsBuilder * .getDatasetSettings() * .setRetrySettings( - * datasetServiceSettingsBuilder.getDatasetSettings().getRetrySettings().toBuilder() + * datasetServiceSettingsBuilder + * .getDatasetSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java index f1d6f87e1557..c81f97edc784 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java @@ -75,7 +75,10 @@ * endpointServiceSettingsBuilder * .getEndpointSettings() * .setRetrySettings( - * endpointServiceSettingsBuilder.getEndpointSettings().getRetrySettings().toBuilder() + * endpointServiceSettingsBuilder + * .getEndpointSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreServiceClient.java index 7587416604ca..6bb39d845607 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreServiceClient.java @@ -756,7 +756,7 @@ public final ListFeaturestoresPagedResponse listFeaturestores(ListFeaturestoresR * be overwritten. Set the update_mask to `*` to override all fields. *

Updatable fields: *

* `labels` * `online_serving_config.fixed_node_count` * - * `online_serving_config.scaling` + * `online_serving_config.scaling` * `online_storage_ttl_days` (available in Preview) * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final OperationFuture @@ -1659,7 +1659,8 @@ public final ListEntityTypesPagedResponse listEntityTypes(ListEntityTypesRequest * `monitoring_config.import_features_analysis.state` * * `monitoring_config.import_features_analysis.anomaly_detection_baseline` * * `monitoring_config.numerical_threshold_config.value` * - * `monitoring_config.categorical_threshold_config.value` + * `monitoring_config.categorical_threshold_config.value` * `offline_storage_ttl_days` + * (available in Preview) * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final EntityType updateEntityType(EntityType entityType, FieldMask updateMask) { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceSettings.java index a2da0766a407..80c81d30e028 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceSettings.java @@ -74,7 +74,10 @@ * indexServiceSettingsBuilder * .getIndexSettings() * .setRetrySettings( - * indexServiceSettingsBuilder.getIndexSettings().getRetrySettings().toBuilder() + * indexServiceSettingsBuilder + * .getIndexSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * IndexServiceSettings indexServiceSettings = indexServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java index 50d4fd0889c5..21ca2b7f04f3 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java @@ -79,7 +79,10 @@ * jobServiceSettingsBuilder * .createCustomJobSettings() * .setRetrySettings( - * jobServiceSettingsBuilder.createCustomJobSettings().getRetrySettings().toBuilder() + * jobServiceSettingsBuilder + * .createCustomJobSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MetadataServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MetadataServiceSettings.java index 75ad732e4168..b820e96da81f 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MetadataServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MetadataServiceSettings.java @@ -79,7 +79,10 @@ * metadataServiceSettingsBuilder * .getMetadataStoreSettings() * .setRetrySettings( - * metadataServiceSettingsBuilder.getMetadataStoreSettings().getRetrySettings().toBuilder() + * metadataServiceSettingsBuilder + * .getMetadataStoreSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MetadataServiceSettings metadataServiceSettings = metadataServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java index fee61ad8eb36..a740db26c44c 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java @@ -74,7 +74,10 @@ * migrationServiceSettingsBuilder * .getLocationSettings() * .setRetrySettings( - * migrationServiceSettingsBuilder.getLocationSettings().getRetrySettings().toBuilder() + * migrationServiceSettingsBuilder + * .getLocationSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java index d8dd83499456..e553f7bc8194 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java @@ -717,6 +717,7 @@ public final ListModelVersionsPagedResponse listModelVersions(String name) { * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * for (Model element : modelServiceClient.listModelVersions(request).iterateAll()) { * // doThingsWith(element); @@ -751,6 +752,7 @@ public final ListModelVersionsPagedResponse listModelVersions(ListModelVersionsR * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * ApiFuture future = * modelServiceClient.listModelVersionsPagedCallable().futureCall(request); @@ -786,6 +788,7 @@ public final ListModelVersionsPagedResponse listModelVersions(ListModelVersionsR * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * while (true) { * ListModelVersionsResponse response = diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java index c192e2fcf00b..466ac8dd5c9c 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java @@ -77,7 +77,10 @@ * modelServiceSettingsBuilder * .getModelSettings() * .setRetrySettings( - * modelServiceSettingsBuilder.getModelSettings().getRetrySettings().toBuilder() + * modelServiceSettingsBuilder + * .getModelSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java index e48437f51b38..416a36d2cf8f 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java @@ -72,7 +72,10 @@ * predictionServiceSettingsBuilder * .predictSettings() * .setRetrySettings( - * predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder() + * predictionServiceSettingsBuilder + * .predictSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceClient.java index 7f04ba38bffa..4f4e7fed5795 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceClient.java @@ -455,6 +455,128 @@ public final UnaryCallable getTensorboardCal return stub.getTensorboardCallable(); } + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(tensorboard);
+   * }
+   * }
+ * + * @param tensorboard Required. The name of the Tensorboard resource. Format: + * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage(TensorboardName tensorboard) { + ReadTensorboardUsageRequest request = + ReadTensorboardUsageRequest.newBuilder() + .setTensorboard(tensorboard == null ? null : tensorboard.toString()) + .build(); + return readTensorboardUsage(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   String tensorboard =
+   *       TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(tensorboard);
+   * }
+   * }
+ * + * @param tensorboard Required. The name of the Tensorboard resource. Format: + * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage(String tensorboard) { + ReadTensorboardUsageRequest request = + ReadTensorboardUsageRequest.newBuilder().setTensorboard(tensorboard).build(); + return readTensorboardUsage(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   ReadTensorboardUsageRequest request =
+   *       ReadTensorboardUsageRequest.newBuilder()
+   *           .setTensorboard(
+   *               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
+   *           .build();
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(request);
+   * }
+   * }
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage( + ReadTensorboardUsageRequest request) { + return readTensorboardUsageCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   ReadTensorboardUsageRequest request =
+   *       ReadTensorboardUsageRequest.newBuilder()
+   *           .setTensorboard(
+   *               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
+   *           .build();
+   *   ApiFuture future =
+   *       tensorboardServiceClient.readTensorboardUsageCallable().futureCall(request);
+   *   // Do something.
+   *   ReadTensorboardUsageResponse response = future.get();
+   * }
+   * }
+ */ + public final UnaryCallable + readTensorboardUsageCallable() { + return stub.readTensorboardUsageCallable(); + } + // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Updates a Tensorboard. @@ -479,9 +601,8 @@ public final UnaryCallable getTensorboardCal * to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * Tensorboard resource by the update. The fields specified in the update_mask are relative to - * the resource, not the full request. A field will be overwritten if it is in the mask. If - * the user does not provide a mask then all fields will be overwritten if new values are - * specified. + * the resource, not the full request. A field is overwritten if it's in the mask. If the user + * does not provide a mask then all fields are overwritten if new values are specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final OperationFuture @@ -932,7 +1053,7 @@ public final UnaryCallable deleteTensorboar * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param tensorboardExperiment The TensorboardExperiment to create. * @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which - * will become the final component of the Tensorboard experiment's resource name. + * becomes the final component of the Tensorboard experiment's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @@ -978,7 +1099,7 @@ public final TensorboardExperiment createTensorboardExperiment( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param tensorboardExperiment The TensorboardExperiment to create. * @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which - * will become the final component of the Tensorboard experiment's resource name. + * becomes the final component of the Tensorboard experiment's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @@ -1212,9 +1333,9 @@ public final TensorboardExperiment getTensorboardExperiment( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardExperiment resource by the update. The fields specified in the update_mask are - * relative to the resource, not the full request. A field will be overwritten if it is in the - * mask. If the user does not provide a mask then all fields will be overwritten if new values - * are specified. + * relative to the resource, not the full request. A field is overwritten if it's in the mask. + * If the user does not provide a mask then all fields are overwritten if new values are + * specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardExperiment updateTensorboardExperiment( @@ -1658,7 +1779,7 @@ public final OperationFuture deleteTensorboardEx * TensorboardRun in. Format: * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param tensorboardRun Required. The TensorboardRun to create. - * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the + * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which becomes the * final component of the Tensorboard run's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails @@ -1701,7 +1822,7 @@ public final TensorboardRun createTensorboardRun( * TensorboardRun in. Format: * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param tensorboardRun Required. The TensorboardRun to create. - * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the + * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which becomes the * final component of the Tensorboard run's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails @@ -2078,9 +2199,8 @@ public final UnaryCallable getTensorbo * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardRun resource by the update. The fields specified in the update_mask are relative - * to the resource, not the full request. A field will be overwritten if it is in the mask. If - * the user does not provide a mask then all fields will be overwritten if new values are - * specified. + * to the resource, not the full request. A field is overwritten if it's in the mask. If the + * user does not provide a mask then all fields are overwritten if new values are specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardRun updateTensorboardRun( @@ -2986,9 +3106,9 @@ public final TensorboardTimeSeries getTensorboardTimeSeries( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardTimeSeries resource by the update. The fields specified in the update_mask are - * relative to the resource, not the full request. A field will be overwritten if it is in the - * mask. If the user does not provide a mask then all fields will be overwritten if new values - * are specified. + * relative to the resource, not the full request. A field is overwritten if it's in the mask. + * If the user does not provide a mask then all fields are overwritten if new values are + * specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardTimeSeries updateTensorboardTimeSeries( @@ -3446,8 +3566,8 @@ public final OperationFuture deleteTensorboardTi /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3485,8 +3605,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3523,8 +3643,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3558,8 +3678,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3592,9 +3712,9 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3631,9 +3751,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3675,9 +3795,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3718,9 +3838,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3802,7 +3922,7 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3844,7 +3964,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3885,7 +4005,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3920,7 +4040,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3955,7 +4075,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3996,7 +4116,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -4037,7 +4157,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -4072,7 +4192,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceSettings.java index 2cb6f728c27d..f172094f26bc 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceSettings.java @@ -111,6 +111,12 @@ public UnaryCallSettings getTensorboardSetti return ((TensorboardServiceStubSettings) getStubSettings()).getTensorboardSettings(); } + /** Returns the object with the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings + readTensorboardUsageSettings() { + return ((TensorboardServiceStubSettings) getStubSettings()).readTensorboardUsageSettings(); + } + /** Returns the object with the settings used for calls to updateTensorboard. */ public UnaryCallSettings updateTensorboardSettings() { return ((TensorboardServiceStubSettings) getStubSettings()).updateTensorboardSettings(); @@ -470,6 +476,12 @@ public UnaryCallSettings.Builder getTensorbo return getStubSettingsBuilder().getTensorboardSettings(); } + /** Returns the builder for the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings.Builder + readTensorboardUsageSettings() { + return getStubSettingsBuilder().readTensorboardUsageSettings(); + } + /** Returns the builder for the settings used for calls to updateTensorboard. */ public UnaryCallSettings.Builder updateTensorboardSettings() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/VizierServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/VizierServiceSettings.java index 7e1b8642eaa6..31eb426ebc95 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/VizierServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/VizierServiceSettings.java @@ -75,7 +75,10 @@ * vizierServiceSettingsBuilder * .createStudySettings() * .setRetrySettings( - * vizierServiceSettingsBuilder.createStudySettings().getRetrySettings().toBuilder() + * vizierServiceSettingsBuilder + * .createStudySettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * VizierServiceSettings vizierServiceSettings = vizierServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/gapic_metadata.json b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/gapic_metadata.json index 1266a979fe2e..89c0faaa7c61 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/gapic_metadata.json +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/gapic_metadata.json @@ -853,6 +853,9 @@ "ReadTensorboardTimeSeriesData": { "methods": ["readTensorboardTimeSeriesData", "readTensorboardTimeSeriesData", "readTensorboardTimeSeriesData", "readTensorboardTimeSeriesDataCallable"] }, + "ReadTensorboardUsage": { + "methods": ["readTensorboardUsage", "readTensorboardUsage", "readTensorboardUsage", "readTensorboardUsageCallable"] + }, "SetIamPolicy": { "methods": ["setIamPolicy", "setIamPolicyCallable"] }, diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java index dab14692954b..ce6ee1c144ea 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java @@ -126,7 +126,10 @@ * datasetServiceSettingsBuilder * .getDatasetSettings() * .setRetrySettings( - * datasetServiceSettingsBuilder.getDatasetSettings().getRetrySettings().toBuilder() + * datasetServiceSettingsBuilder + * .getDatasetSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * DatasetServiceStubSettings datasetServiceSettings = datasetServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java index 6738f3e1d9c6..f169b3d1cfd9 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java @@ -108,7 +108,10 @@ * endpointServiceSettingsBuilder * .getEndpointSettings() * .setRetrySettings( - * endpointServiceSettingsBuilder.getEndpointSettings().getRetrySettings().toBuilder() + * endpointServiceSettingsBuilder + * .getEndpointSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * EndpointServiceStubSettings endpointServiceSettings = endpointServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcTensorboardServiceStub.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcTensorboardServiceStub.java index 4e65080ba1a7..64baa7ab077e 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcTensorboardServiceStub.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcTensorboardServiceStub.java @@ -65,6 +65,8 @@ import com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1.Tensorboard; import com.google.cloud.aiplatform.v1.TensorboardExperiment; import com.google.cloud.aiplatform.v1.TensorboardRun; @@ -125,6 +127,18 @@ public class GrpcTensorboardServiceStub extends TensorboardServiceStub { .setResponseMarshaller(ProtoUtils.marshaller(Tensorboard.getDefaultInstance())) .build(); + private static final MethodDescriptor + readTensorboardUsageMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + "google.cloud.aiplatform.v1.TensorboardService/ReadTensorboardUsage") + .setRequestMarshaller( + ProtoUtils.marshaller(ReadTensorboardUsageRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ReadTensorboardUsageResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor updateTensorboardMethodDescriptor = MethodDescriptor.newBuilder() @@ -509,6 +523,8 @@ public class GrpcTensorboardServiceStub extends TensorboardServiceStub { CreateTensorboardRequest, Tensorboard, CreateTensorboardOperationMetadata> createTensorboardOperationCallable; private final UnaryCallable getTensorboardCallable; + private final UnaryCallable + readTensorboardUsageCallable; private final UnaryCallable updateTensorboardCallable; private final OperationCallable< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> @@ -662,6 +678,17 @@ protected GrpcTensorboardServiceStub( return params.build(); }) .build(); + GrpcCallSettings + readTensorboardUsageTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(readTensorboardUsageMethodDescriptor) + .setParamsExtractor( + request -> { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("tensorboard", String.valueOf(request.getTensorboard())); + return params.build(); + }) + .build(); GrpcCallSettings updateTensorboardTransportSettings = GrpcCallSettings.newBuilder() .setMethodDescriptor(updateTensorboardMethodDescriptor) @@ -1042,6 +1069,11 @@ protected GrpcTensorboardServiceStub( this.getTensorboardCallable = callableFactory.createUnaryCallable( getTensorboardTransportSettings, settings.getTensorboardSettings(), clientContext); + this.readTensorboardUsageCallable = + callableFactory.createUnaryCallable( + readTensorboardUsageTransportSettings, + settings.readTensorboardUsageSettings(), + clientContext); this.updateTensorboardCallable = callableFactory.createUnaryCallable( updateTensorboardTransportSettings, @@ -1269,6 +1301,12 @@ public UnaryCallable getTensorboardCallable( return getTensorboardCallable; } + @Override + public UnaryCallable + readTensorboardUsageCallable() { + return readTensorboardUsageCallable; + } + @Override public UnaryCallable updateTensorboardCallable() { return updateTensorboardCallable; diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/IndexServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/IndexServiceStubSettings.java index 7f1025cc5dc7..f9800674ff86 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/IndexServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/IndexServiceStubSettings.java @@ -107,7 +107,10 @@ * indexServiceSettingsBuilder * .getIndexSettings() * .setRetrySettings( - * indexServiceSettingsBuilder.getIndexSettings().getRetrySettings().toBuilder() + * indexServiceSettingsBuilder + * .getIndexSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * IndexServiceStubSettings indexServiceSettings = indexServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java index 83c3e9e16ff6..573ddd32b35a 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java @@ -139,7 +139,10 @@ * jobServiceSettingsBuilder * .createCustomJobSettings() * .setRetrySettings( - * jobServiceSettingsBuilder.createCustomJobSettings().getRetrySettings().toBuilder() + * jobServiceSettingsBuilder + * .createCustomJobSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * JobServiceStubSettings jobServiceSettings = jobServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MetadataServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MetadataServiceStubSettings.java index 229ecdde9db1..1240612ec546 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MetadataServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MetadataServiceStubSettings.java @@ -153,7 +153,10 @@ * metadataServiceSettingsBuilder * .getMetadataStoreSettings() * .setRetrySettings( - * metadataServiceSettingsBuilder.getMetadataStoreSettings().getRetrySettings().toBuilder() + * metadataServiceSettingsBuilder + * .getMetadataStoreSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MetadataServiceStubSettings metadataServiceSettings = metadataServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java index 754d1b1adabb..e22f62e4eba8 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java @@ -98,7 +98,10 @@ * migrationServiceSettingsBuilder * .getLocationSettings() * .setRetrySettings( - * migrationServiceSettingsBuilder.getLocationSettings().getRetrySettings().toBuilder() + * migrationServiceSettingsBuilder + * .getLocationSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MigrationServiceStubSettings migrationServiceSettings = migrationServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java index e727034b776a..e9ec95f7b6b5 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java @@ -124,7 +124,10 @@ * modelServiceSettingsBuilder * .getModelSettings() * .setRetrySettings( - * modelServiceSettingsBuilder.getModelSettings().getRetrySettings().toBuilder() + * modelServiceSettingsBuilder + * .getModelSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * ModelServiceStubSettings modelServiceSettings = modelServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java index a510a33c0079..65fa2886dfef 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java @@ -91,7 +91,10 @@ * predictionServiceSettingsBuilder * .predictSettings() * .setRetrySettings( - * predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder() + * predictionServiceSettingsBuilder + * .predictSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * PredictionServiceStubSettings predictionServiceSettings = diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStub.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStub.java index 599b1e74eca6..61ced9da6fc1 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStub.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStub.java @@ -61,6 +61,8 @@ import com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1.Tensorboard; import com.google.cloud.aiplatform.v1.TensorboardExperiment; import com.google.cloud.aiplatform.v1.TensorboardRun; @@ -116,6 +118,11 @@ public UnaryCallable getTensorboardCallable( throw new UnsupportedOperationException("Not implemented: getTensorboardCallable()"); } + public UnaryCallable + readTensorboardUsageCallable() { + throw new UnsupportedOperationException("Not implemented: readTensorboardUsageCallable()"); + } + public OperationCallable< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> updateTensorboardOperationCallable() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStubSettings.java index ab318fd767c1..b2f3345c70ee 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/TensorboardServiceStubSettings.java @@ -84,6 +84,8 @@ import com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1.Tensorboard; import com.google.cloud.aiplatform.v1.TensorboardExperiment; import com.google.cloud.aiplatform.v1.TensorboardRun; @@ -170,6 +172,8 @@ public class TensorboardServiceStubSettings extends StubSettings createTensorboardOperationSettings; private final UnaryCallSettings getTensorboardSettings; + private final UnaryCallSettings + readTensorboardUsageSettings; private final UnaryCallSettings updateTensorboardSettings; private final OperationCallSettings< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> @@ -685,6 +689,12 @@ public UnaryCallSettings getTensorboardSetti return getTensorboardSettings; } + /** Returns the object with the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings + readTensorboardUsageSettings() { + return readTensorboardUsageSettings; + } + /** Returns the object with the settings used for calls to updateTensorboard. */ public UnaryCallSettings updateTensorboardSettings() { return updateTensorboardSettings; @@ -990,6 +1000,7 @@ protected TensorboardServiceStubSettings(Builder settingsBuilder) throws IOExcep createTensorboardOperationSettings = settingsBuilder.createTensorboardOperationSettings().build(); getTensorboardSettings = settingsBuilder.getTensorboardSettings().build(); + readTensorboardUsageSettings = settingsBuilder.readTensorboardUsageSettings().build(); updateTensorboardSettings = settingsBuilder.updateTensorboardSettings().build(); updateTensorboardOperationSettings = settingsBuilder.updateTensorboardOperationSettings().build(); @@ -1057,6 +1068,9 @@ public static class Builder createTensorboardOperationSettings; private final UnaryCallSettings.Builder getTensorboardSettings; + private final UnaryCallSettings.Builder< + ReadTensorboardUsageRequest, ReadTensorboardUsageResponse> + readTensorboardUsageSettings; private final UnaryCallSettings.Builder updateTensorboardSettings; private final OperationCallSettings.Builder< @@ -1186,6 +1200,7 @@ protected Builder(ClientContext clientContext) { createTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); createTensorboardOperationSettings = OperationCallSettings.newBuilder(); getTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + readTensorboardUsageSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); updateTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); updateTensorboardOperationSettings = OperationCallSettings.newBuilder(); listTensorboardsSettings = PagedCallSettings.newBuilder(LIST_TENSORBOARDS_PAGE_STR_FACT); @@ -1231,6 +1246,7 @@ protected Builder(ClientContext clientContext) { ImmutableList.>of( createTensorboardSettings, getTensorboardSettings, + readTensorboardUsageSettings, updateTensorboardSettings, listTensorboardsSettings, deleteTensorboardSettings, @@ -1270,6 +1286,7 @@ protected Builder(TensorboardServiceStubSettings settings) { createTensorboardSettings = settings.createTensorboardSettings.toBuilder(); createTensorboardOperationSettings = settings.createTensorboardOperationSettings.toBuilder(); getTensorboardSettings = settings.getTensorboardSettings.toBuilder(); + readTensorboardUsageSettings = settings.readTensorboardUsageSettings.toBuilder(); updateTensorboardSettings = settings.updateTensorboardSettings.toBuilder(); updateTensorboardOperationSettings = settings.updateTensorboardOperationSettings.toBuilder(); listTensorboardsSettings = settings.listTensorboardsSettings.toBuilder(); @@ -1325,6 +1342,7 @@ protected Builder(TensorboardServiceStubSettings settings) { ImmutableList.>of( createTensorboardSettings, getTensorboardSettings, + readTensorboardUsageSettings, updateTensorboardSettings, listTensorboardsSettings, deleteTensorboardSettings, @@ -1381,6 +1399,11 @@ private static Builder initDefaults(Builder builder) { .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params")); + builder + .readTensorboardUsageSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params")); + builder .updateTensorboardSettings() .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) @@ -1722,6 +1745,12 @@ public UnaryCallSettings.Builder getTensorbo return getTensorboardSettings; } + /** Returns the builder for the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings.Builder + readTensorboardUsageSettings() { + return readTensorboardUsageSettings; + } + /** Returns the builder for the settings used for calls to updateTensorboard. */ public UnaryCallSettings.Builder updateTensorboardSettings() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/VizierServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/VizierServiceStubSettings.java index 17ecaa13a924..940faacef631 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/VizierServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/VizierServiceStubSettings.java @@ -118,7 +118,10 @@ * vizierServiceSettingsBuilder * .createStudySettings() * .setRetrySettings( - * vizierServiceSettingsBuilder.createStudySettings().getRetrySettings().toBuilder() + * vizierServiceSettingsBuilder + * .createStudySettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * VizierServiceStubSettings vizierServiceSettings = vizierServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java index 4a1e964e5e19..12682d26aab2 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java @@ -79,7 +79,10 @@ * datasetServiceSettingsBuilder * .getDatasetSettings() * .setRetrySettings( - * datasetServiceSettingsBuilder.getDatasetSettings().getRetrySettings().toBuilder() + * datasetServiceSettingsBuilder + * .getDatasetSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java index 6039f82055dd..d7cce898fcea 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java @@ -75,7 +75,10 @@ * endpointServiceSettingsBuilder * .getEndpointSettings() * .setRetrySettings( - * endpointServiceSettingsBuilder.getEndpointSettings().getRetrySettings().toBuilder() + * endpointServiceSettingsBuilder + * .getEndpointSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceClient.java index ca737a56a108..14b55930ece1 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceClient.java @@ -758,7 +758,7 @@ public final ListFeaturestoresPagedResponse listFeaturestores(ListFeaturestoresR * be overwritten. Set the update_mask to `*` to override all fields. *

Updatable fields: *

* `labels` * `online_serving_config.fixed_node_count` * - * `online_serving_config.scaling` * `online_storage_ttl_days` + * `online_serving_config.scaling` * `online_storage_ttl_days` (available in Preview) * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final OperationFuture @@ -1662,6 +1662,7 @@ public final ListEntityTypesPagedResponse listEntityTypes(ListEntityTypesRequest * `monitoring_config.import_features_analysis.anomaly_detection_baseline` * * `monitoring_config.numerical_threshold_config.value` * * `monitoring_config.categorical_threshold_config.value` * `offline_storage_ttl_days` + * (available in Preview) * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final EntityType updateEntityType(EntityType entityType, FieldMask updateMask) { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceSettings.java index 8e4314a803f3..21c278d88259 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceSettings.java @@ -74,7 +74,10 @@ * indexServiceSettingsBuilder * .getIndexSettings() * .setRetrySettings( - * indexServiceSettingsBuilder.getIndexSettings().getRetrySettings().toBuilder() + * indexServiceSettingsBuilder + * .getIndexSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * IndexServiceSettings indexServiceSettings = indexServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java index 91a81f8e6ba5..d1c7434d3a35 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java @@ -79,7 +79,10 @@ * jobServiceSettingsBuilder * .createCustomJobSettings() * .setRetrySettings( - * jobServiceSettingsBuilder.createCustomJobSettings().getRetrySettings().toBuilder() + * jobServiceSettingsBuilder + * .createCustomJobSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataServiceSettings.java index 9bc24d4eb716..35581597d344 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataServiceSettings.java @@ -79,7 +79,10 @@ * metadataServiceSettingsBuilder * .getMetadataStoreSettings() * .setRetrySettings( - * metadataServiceSettingsBuilder.getMetadataStoreSettings().getRetrySettings().toBuilder() + * metadataServiceSettingsBuilder + * .getMetadataStoreSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MetadataServiceSettings metadataServiceSettings = metadataServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java index 7edb6f2a86af..9c59d13a1d71 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java @@ -74,7 +74,10 @@ * migrationServiceSettingsBuilder * .getLocationSettings() * .setRetrySettings( - * migrationServiceSettingsBuilder.getLocationSettings().getRetrySettings().toBuilder() + * migrationServiceSettingsBuilder + * .getLocationSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java index 245d0b204463..d46934f6c084 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java @@ -716,6 +716,7 @@ public final ListModelVersionsPagedResponse listModelVersions(String name) { * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * for (Model element : modelServiceClient.listModelVersions(request).iterateAll()) { * // doThingsWith(element); @@ -750,6 +751,7 @@ public final ListModelVersionsPagedResponse listModelVersions(ListModelVersionsR * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * ApiFuture future = * modelServiceClient.listModelVersionsPagedCallable().futureCall(request); @@ -785,6 +787,7 @@ public final ListModelVersionsPagedResponse listModelVersions(ListModelVersionsR * .setPageToken("pageToken873572522") * .setFilter("filter-1274492040") * .setReadMask(FieldMask.newBuilder().build()) + * .setOrderBy("orderBy-1207110587") * .build(); * while (true) { * ListModelVersionsResponse response = diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java index befd951d3393..5d90c9e37556 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java @@ -77,7 +77,10 @@ * modelServiceSettingsBuilder * .getModelSettings() * .setRetrySettings( - * modelServiceSettingsBuilder.getModelSettings().getRetrySettings().toBuilder() + * modelServiceSettingsBuilder + * .getModelSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java index 591cfc78ba29..0b47e51af727 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java @@ -72,7 +72,10 @@ * predictionServiceSettingsBuilder * .predictSettings() * .setRetrySettings( - * predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder() + * predictionServiceSettingsBuilder + * .predictSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClient.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClient.java index 645d04d4d233..18e1912b6dbb 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClient.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClient.java @@ -457,6 +457,128 @@ public final UnaryCallable getTensorboardCal return stub.getTensorboardCallable(); } + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]");
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(tensorboard);
+   * }
+   * }
+ * + * @param tensorboard Required. The name of the Tensorboard resource. Format: + * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage(TensorboardName tensorboard) { + ReadTensorboardUsageRequest request = + ReadTensorboardUsageRequest.newBuilder() + .setTensorboard(tensorboard == null ? null : tensorboard.toString()) + .build(); + return readTensorboardUsage(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   String tensorboard =
+   *       TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString();
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(tensorboard);
+   * }
+   * }
+ * + * @param tensorboard Required. The name of the Tensorboard resource. Format: + * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage(String tensorboard) { + ReadTensorboardUsageRequest request = + ReadTensorboardUsageRequest.newBuilder().setTensorboard(tensorboard).build(); + return readTensorboardUsage(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   ReadTensorboardUsageRequest request =
+   *       ReadTensorboardUsageRequest.newBuilder()
+   *           .setTensorboard(
+   *               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
+   *           .build();
+   *   ReadTensorboardUsageResponse response =
+   *       tensorboardServiceClient.readTensorboardUsage(request);
+   * }
+   * }
+ * + * @param request The request object containing all of the parameters for the API call. + * @throws com.google.api.gax.rpc.ApiException if the remote call fails + */ + public final ReadTensorboardUsageResponse readTensorboardUsage( + ReadTensorboardUsageRequest request) { + return readTensorboardUsageCallable().call(request); + } + + // AUTO-GENERATED DOCUMENTATION AND METHOD. + /** + * Returns a list of monthly active users for a given TensorBoard instance. + * + *

Sample code: + * + * 

{@code
+   * // This snippet has been automatically generated and should be regarded as a code template only.
+   * // It will require modifications to work:
+   * // - It may require correct/in-range values for request initialization.
+   * // - It may require specifying regional endpoints when creating the service client as shown in
+   * // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
+   * try (TensorboardServiceClient tensorboardServiceClient = TensorboardServiceClient.create()) {
+   *   ReadTensorboardUsageRequest request =
+   *       ReadTensorboardUsageRequest.newBuilder()
+   *           .setTensorboard(
+   *               TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]").toString())
+   *           .build();
+   *   ApiFuture future =
+   *       tensorboardServiceClient.readTensorboardUsageCallable().futureCall(request);
+   *   // Do something.
+   *   ReadTensorboardUsageResponse response = future.get();
+   * }
+   * }
+ */ + public final UnaryCallable + readTensorboardUsageCallable() { + return stub.readTensorboardUsageCallable(); + } + // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Updates a Tensorboard. @@ -481,9 +603,8 @@ public final UnaryCallable getTensorboardCal * to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * Tensorboard resource by the update. The fields specified in the update_mask are relative to - * the resource, not the full request. A field will be overwritten if it is in the mask. If - * the user does not provide a mask then all fields will be overwritten if new values are - * specified. + * the resource, not the full request. A field is overwritten if it's in the mask. If the user + * does not provide a mask then all fields are overwritten if new values are specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final OperationFuture @@ -934,7 +1055,7 @@ public final UnaryCallable deleteTensorboar * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param tensorboardExperiment The TensorboardExperiment to create. * @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which - * will become the final component of the Tensorboard experiment's resource name. + * becomes the final component of the Tensorboard experiment's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @@ -980,7 +1101,7 @@ public final TensorboardExperiment createTensorboardExperiment( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}` * @param tensorboardExperiment The TensorboardExperiment to create. * @param tensorboardExperimentId Required. The ID to use for the Tensorboard experiment, which - * will become the final component of the Tensorboard experiment's resource name. + * becomes the final component of the Tensorboard experiment's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ @@ -1214,9 +1335,9 @@ public final TensorboardExperiment getTensorboardExperiment( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardExperiment resource by the update. The fields specified in the update_mask are - * relative to the resource, not the full request. A field will be overwritten if it is in the - * mask. If the user does not provide a mask then all fields will be overwritten if new values - * are specified. + * relative to the resource, not the full request. A field is overwritten if it's in the mask. + * If the user does not provide a mask then all fields are overwritten if new values are + * specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardExperiment updateTensorboardExperiment( @@ -1660,7 +1781,7 @@ public final OperationFuture deleteTensorboardEx * TensorboardRun in. Format: * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param tensorboardRun Required. The TensorboardRun to create. - * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the + * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which becomes the * final component of the Tensorboard run's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails @@ -1703,7 +1824,7 @@ public final TensorboardRun createTensorboardRun( * TensorboardRun in. Format: * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` * @param tensorboardRun Required. The TensorboardRun to create. - * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which will become the + * @param tensorboardRunId Required. The ID to use for the Tensorboard run, which becomes the * final component of the Tensorboard run's resource name. *

This value should be 1-128 characters, and valid characters are /[a-z][0-9]-/. * @throws com.google.api.gax.rpc.ApiException if the remote call fails @@ -2080,9 +2201,8 @@ public final UnaryCallable getTensorbo * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardRun resource by the update. The fields specified in the update_mask are relative - * to the resource, not the full request. A field will be overwritten if it is in the mask. If - * the user does not provide a mask then all fields will be overwritten if new values are - * specified. + * to the resource, not the full request. A field is overwritten if it's in the mask. If the + * user does not provide a mask then all fields are overwritten if new values are specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardRun updateTensorboardRun( @@ -2988,9 +3108,9 @@ public final TensorboardTimeSeries getTensorboardTimeSeries( * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}` * @param updateMask Required. Field mask is used to specify the fields to be overwritten in the * TensorboardTimeSeries resource by the update. The fields specified in the update_mask are - * relative to the resource, not the full request. A field will be overwritten if it is in the - * mask. If the user does not provide a mask then all fields will be overwritten if new values - * are specified. + * relative to the resource, not the full request. A field is overwritten if it's in the mask. + * If the user does not provide a mask then all fields are overwritten if new values are + * specified. * @throws com.google.api.gax.rpc.ApiException if the remote call fails */ public final TensorboardTimeSeries updateTensorboardTimeSeries( @@ -3448,8 +3568,8 @@ public final OperationFuture deleteTensorboardTi /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3487,8 +3607,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3525,8 +3645,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3560,8 +3680,8 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime /** * Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, * 100 for tensors and blob references. If the number of data points stored is less than the - * limit, all data will be returned. Otherwise, that limit number of data points will be randomly - * selected from this time series and returned. + * limit, all data is returned. Otherwise, the number limit of data points is randomly selected + * from this time series and returned. * *

Sample code: * @@ -3594,9 +3714,9 @@ public final BatchReadTensorboardTimeSeriesDataResponse batchReadTensorboardTime // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3633,9 +3753,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3677,9 +3797,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3720,9 +3840,9 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less - * than 1000, all data will be returned. Otherwise, 1000 data points will be randomly selected - * from this time series and returned. This value can be changed by changing max_data_points, - * which can't be greater than 10k. + * than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this + * time series and returned. This value can be changed by changing max_data_points, which can't be + * greater than 10k. * *

Sample code: * @@ -3804,7 +3924,7 @@ public final ReadTensorboardTimeSeriesDataResponse readTensorboardTimeSeriesData // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3846,7 +3966,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3887,7 +4007,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3922,7 +4042,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. - * If any data fail to be ingested, an error will be returned. + * If any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3957,7 +4077,7 @@ public final WriteTensorboardExperimentDataResponse writeTensorboardExperimentDa // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -3998,7 +4118,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -4039,7 +4159,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * @@ -4074,7 +4194,7 @@ public final WriteTensorboardRunDataResponse writeTensorboardRunData( // AUTO-GENERATED DOCUMENTATION AND METHOD. /** * Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If - * any data fail to be ingested, an error will be returned. + * any data fail to be ingested, an error is returned. * *

Sample code: * diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceSettings.java index 7524971a31b7..b44845eca218 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceSettings.java @@ -112,6 +112,12 @@ public UnaryCallSettings getTensorboardSetti return ((TensorboardServiceStubSettings) getStubSettings()).getTensorboardSettings(); } + /** Returns the object with the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings + readTensorboardUsageSettings() { + return ((TensorboardServiceStubSettings) getStubSettings()).readTensorboardUsageSettings(); + } + /** Returns the object with the settings used for calls to updateTensorboard. */ public UnaryCallSettings updateTensorboardSettings() { return ((TensorboardServiceStubSettings) getStubSettings()).updateTensorboardSettings(); @@ -471,6 +477,12 @@ public UnaryCallSettings.Builder getTensorbo return getStubSettingsBuilder().getTensorboardSettings(); } + /** Returns the builder for the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings.Builder + readTensorboardUsageSettings() { + return getStubSettingsBuilder().readTensorboardUsageSettings(); + } + /** Returns the builder for the settings used for calls to updateTensorboard. */ public UnaryCallSettings.Builder updateTensorboardSettings() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/VizierServiceSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/VizierServiceSettings.java index 80ce03ae96e7..fb132436c801 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/VizierServiceSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/VizierServiceSettings.java @@ -75,7 +75,10 @@ * vizierServiceSettingsBuilder * .createStudySettings() * .setRetrySettings( - * vizierServiceSettingsBuilder.createStudySettings().getRetrySettings().toBuilder() + * vizierServiceSettingsBuilder + * .createStudySettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * VizierServiceSettings vizierServiceSettings = vizierServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/gapic_metadata.json b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/gapic_metadata.json index bb0afb5bc03f..974be494bd53 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/gapic_metadata.json +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/gapic_metadata.json @@ -898,6 +898,9 @@ "ReadTensorboardTimeSeriesData": { "methods": ["readTensorboardTimeSeriesData", "readTensorboardTimeSeriesData", "readTensorboardTimeSeriesData", "readTensorboardTimeSeriesDataCallable"] }, + "ReadTensorboardUsage": { + "methods": ["readTensorboardUsage", "readTensorboardUsage", "readTensorboardUsage", "readTensorboardUsageCallable"] + }, "SetIamPolicy": { "methods": ["setIamPolicy", "setIamPolicyCallable"] }, diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStubSettings.java index 7af085640f08..0dfaa31e7823 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStubSettings.java @@ -126,7 +126,10 @@ * datasetServiceSettingsBuilder * .getDatasetSettings() * .setRetrySettings( - * datasetServiceSettingsBuilder.getDatasetSettings().getRetrySettings().toBuilder() + * datasetServiceSettingsBuilder + * .getDatasetSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * DatasetServiceStubSettings datasetServiceSettings = datasetServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStubSettings.java index 6da828731b25..ea6f0cd82ae7 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStubSettings.java @@ -108,7 +108,10 @@ * endpointServiceSettingsBuilder * .getEndpointSettings() * .setRetrySettings( - * endpointServiceSettingsBuilder.getEndpointSettings().getRetrySettings().toBuilder() + * endpointServiceSettingsBuilder + * .getEndpointSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * EndpointServiceStubSettings endpointServiceSettings = endpointServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcTensorboardServiceStub.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcTensorboardServiceStub.java index 24397346c4aa..41761369c23c 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcTensorboardServiceStub.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcTensorboardServiceStub.java @@ -66,6 +66,8 @@ import com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1beta1.Tensorboard; import com.google.cloud.aiplatform.v1beta1.TensorboardExperiment; import com.google.cloud.aiplatform.v1beta1.TensorboardRun; @@ -129,6 +131,18 @@ public class GrpcTensorboardServiceStub extends TensorboardServiceStub { .setResponseMarshaller(ProtoUtils.marshaller(Tensorboard.getDefaultInstance())) .build(); + private static final MethodDescriptor + readTensorboardUsageMethodDescriptor = + MethodDescriptor.newBuilder() + .setType(MethodDescriptor.MethodType.UNARY) + .setFullMethodName( + "google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardUsage") + .setRequestMarshaller( + ProtoUtils.marshaller(ReadTensorboardUsageRequest.getDefaultInstance())) + .setResponseMarshaller( + ProtoUtils.marshaller(ReadTensorboardUsageResponse.getDefaultInstance())) + .build(); + private static final MethodDescriptor updateTensorboardMethodDescriptor = MethodDescriptor.newBuilder() @@ -517,6 +531,8 @@ public class GrpcTensorboardServiceStub extends TensorboardServiceStub { CreateTensorboardRequest, Tensorboard, CreateTensorboardOperationMetadata> createTensorboardOperationCallable; private final UnaryCallable getTensorboardCallable; + private final UnaryCallable + readTensorboardUsageCallable; private final UnaryCallable updateTensorboardCallable; private final OperationCallable< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> @@ -670,6 +686,17 @@ protected GrpcTensorboardServiceStub( return params.build(); }) .build(); + GrpcCallSettings + readTensorboardUsageTransportSettings = + GrpcCallSettings.newBuilder() + .setMethodDescriptor(readTensorboardUsageMethodDescriptor) + .setParamsExtractor( + request -> { + ImmutableMap.Builder params = ImmutableMap.builder(); + params.put("tensorboard", String.valueOf(request.getTensorboard())); + return params.build(); + }) + .build(); GrpcCallSettings updateTensorboardTransportSettings = GrpcCallSettings.newBuilder() .setMethodDescriptor(updateTensorboardMethodDescriptor) @@ -1050,6 +1077,11 @@ protected GrpcTensorboardServiceStub( this.getTensorboardCallable = callableFactory.createUnaryCallable( getTensorboardTransportSettings, settings.getTensorboardSettings(), clientContext); + this.readTensorboardUsageCallable = + callableFactory.createUnaryCallable( + readTensorboardUsageTransportSettings, + settings.readTensorboardUsageSettings(), + clientContext); this.updateTensorboardCallable = callableFactory.createUnaryCallable( updateTensorboardTransportSettings, @@ -1277,6 +1309,12 @@ public UnaryCallable getTensorboardCallable( return getTensorboardCallable; } + @Override + public UnaryCallable + readTensorboardUsageCallable() { + return readTensorboardUsageCallable; + } + @Override public UnaryCallable updateTensorboardCallable() { return updateTensorboardCallable; diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/IndexServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/IndexServiceStubSettings.java index fb36be4360b6..c8922c302a7f 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/IndexServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/IndexServiceStubSettings.java @@ -107,7 +107,10 @@ * indexServiceSettingsBuilder * .getIndexSettings() * .setRetrySettings( - * indexServiceSettingsBuilder.getIndexSettings().getRetrySettings().toBuilder() + * indexServiceSettingsBuilder + * .getIndexSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * IndexServiceStubSettings indexServiceSettings = indexServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStubSettings.java index 3f603cd82a3d..350ceca16f5a 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStubSettings.java @@ -139,7 +139,10 @@ * jobServiceSettingsBuilder * .createCustomJobSettings() * .setRetrySettings( - * jobServiceSettingsBuilder.createCustomJobSettings().getRetrySettings().toBuilder() + * jobServiceSettingsBuilder + * .createCustomJobSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * JobServiceStubSettings jobServiceSettings = jobServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MetadataServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MetadataServiceStubSettings.java index 4f42a212b297..5ae25b7f2be3 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MetadataServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MetadataServiceStubSettings.java @@ -153,7 +153,10 @@ * metadataServiceSettingsBuilder * .getMetadataStoreSettings() * .setRetrySettings( - * metadataServiceSettingsBuilder.getMetadataStoreSettings().getRetrySettings().toBuilder() + * metadataServiceSettingsBuilder + * .getMetadataStoreSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MetadataServiceStubSettings metadataServiceSettings = metadataServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStubSettings.java index 53f9347760b5..306a6be9d975 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStubSettings.java @@ -98,7 +98,10 @@ * migrationServiceSettingsBuilder * .getLocationSettings() * .setRetrySettings( - * migrationServiceSettingsBuilder.getLocationSettings().getRetrySettings().toBuilder() + * migrationServiceSettingsBuilder + * .getLocationSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * MigrationServiceStubSettings migrationServiceSettings = migrationServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStubSettings.java index 7f2a957b55fb..49f51f2bd4d8 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStubSettings.java @@ -127,7 +127,10 @@ * modelServiceSettingsBuilder * .getModelSettings() * .setRetrySettings( - * modelServiceSettingsBuilder.getModelSettings().getRetrySettings().toBuilder() + * modelServiceSettingsBuilder + * .getModelSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * ModelServiceStubSettings modelServiceSettings = modelServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStubSettings.java index 6cbd3fab3e9b..a188467d2400 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStubSettings.java @@ -92,7 +92,10 @@ * predictionServiceSettingsBuilder * .predictSettings() * .setRetrySettings( - * predictionServiceSettingsBuilder.predictSettings().getRetrySettings().toBuilder() + * predictionServiceSettingsBuilder + * .predictSettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * PredictionServiceStubSettings predictionServiceSettings = diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStub.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStub.java index 6979cd63b1a5..62ff48d138ee 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStub.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStub.java @@ -62,6 +62,8 @@ import com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1beta1.Tensorboard; import com.google.cloud.aiplatform.v1beta1.TensorboardExperiment; import com.google.cloud.aiplatform.v1beta1.TensorboardRun; @@ -118,6 +120,11 @@ public UnaryCallable getTensorboardCallable( throw new UnsupportedOperationException("Not implemented: getTensorboardCallable()"); } + public UnaryCallable + readTensorboardUsageCallable() { + throw new UnsupportedOperationException("Not implemented: readTensorboardUsageCallable()"); + } + public OperationCallable< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> updateTensorboardOperationCallable() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStubSettings.java index f17afaecc781..68d9b2783d2d 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/TensorboardServiceStubSettings.java @@ -84,6 +84,8 @@ import com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest; import com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest; +import com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse; import com.google.cloud.aiplatform.v1beta1.Tensorboard; import com.google.cloud.aiplatform.v1beta1.TensorboardExperiment; import com.google.cloud.aiplatform.v1beta1.TensorboardRun; @@ -168,6 +170,8 @@ public class TensorboardServiceStubSettings extends StubSettings createTensorboardOperationSettings; private final UnaryCallSettings getTensorboardSettings; + private final UnaryCallSettings + readTensorboardUsageSettings; private final UnaryCallSettings updateTensorboardSettings; private final OperationCallSettings< UpdateTensorboardRequest, Tensorboard, UpdateTensorboardOperationMetadata> @@ -683,6 +687,12 @@ public UnaryCallSettings getTensorboardSetti return getTensorboardSettings; } + /** Returns the object with the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings + readTensorboardUsageSettings() { + return readTensorboardUsageSettings; + } + /** Returns the object with the settings used for calls to updateTensorboard. */ public UnaryCallSettings updateTensorboardSettings() { return updateTensorboardSettings; @@ -988,6 +998,7 @@ protected TensorboardServiceStubSettings(Builder settingsBuilder) throws IOExcep createTensorboardOperationSettings = settingsBuilder.createTensorboardOperationSettings().build(); getTensorboardSettings = settingsBuilder.getTensorboardSettings().build(); + readTensorboardUsageSettings = settingsBuilder.readTensorboardUsageSettings().build(); updateTensorboardSettings = settingsBuilder.updateTensorboardSettings().build(); updateTensorboardOperationSettings = settingsBuilder.updateTensorboardOperationSettings().build(); @@ -1055,6 +1066,9 @@ public static class Builder createTensorboardOperationSettings; private final UnaryCallSettings.Builder getTensorboardSettings; + private final UnaryCallSettings.Builder< + ReadTensorboardUsageRequest, ReadTensorboardUsageResponse> + readTensorboardUsageSettings; private final UnaryCallSettings.Builder updateTensorboardSettings; private final OperationCallSettings.Builder< @@ -1184,6 +1198,7 @@ protected Builder(ClientContext clientContext) { createTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); createTensorboardOperationSettings = OperationCallSettings.newBuilder(); getTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); + readTensorboardUsageSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); updateTensorboardSettings = UnaryCallSettings.newUnaryCallSettingsBuilder(); updateTensorboardOperationSettings = OperationCallSettings.newBuilder(); listTensorboardsSettings = PagedCallSettings.newBuilder(LIST_TENSORBOARDS_PAGE_STR_FACT); @@ -1229,6 +1244,7 @@ protected Builder(ClientContext clientContext) { ImmutableList.>of( createTensorboardSettings, getTensorboardSettings, + readTensorboardUsageSettings, updateTensorboardSettings, listTensorboardsSettings, deleteTensorboardSettings, @@ -1268,6 +1284,7 @@ protected Builder(TensorboardServiceStubSettings settings) { createTensorboardSettings = settings.createTensorboardSettings.toBuilder(); createTensorboardOperationSettings = settings.createTensorboardOperationSettings.toBuilder(); getTensorboardSettings = settings.getTensorboardSettings.toBuilder(); + readTensorboardUsageSettings = settings.readTensorboardUsageSettings.toBuilder(); updateTensorboardSettings = settings.updateTensorboardSettings.toBuilder(); updateTensorboardOperationSettings = settings.updateTensorboardOperationSettings.toBuilder(); listTensorboardsSettings = settings.listTensorboardsSettings.toBuilder(); @@ -1323,6 +1340,7 @@ protected Builder(TensorboardServiceStubSettings settings) { ImmutableList.>of( createTensorboardSettings, getTensorboardSettings, + readTensorboardUsageSettings, updateTensorboardSettings, listTensorboardsSettings, deleteTensorboardSettings, @@ -1379,6 +1397,11 @@ private static Builder initDefaults(Builder builder) { .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params")); + builder + .readTensorboardUsageSettings() + .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) + .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params")); + builder .updateTensorboardSettings() .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes")) @@ -1720,6 +1743,12 @@ public UnaryCallSettings.Builder getTensorbo return getTensorboardSettings; } + /** Returns the builder for the settings used for calls to readTensorboardUsage. */ + public UnaryCallSettings.Builder + readTensorboardUsageSettings() { + return readTensorboardUsageSettings; + } + /** Returns the builder for the settings used for calls to updateTensorboard. */ public UnaryCallSettings.Builder updateTensorboardSettings() { diff --git a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/VizierServiceStubSettings.java b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/VizierServiceStubSettings.java index 2b65bb688602..7a82378f386b 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/VizierServiceStubSettings.java +++ b/java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/VizierServiceStubSettings.java @@ -118,7 +118,10 @@ * vizierServiceSettingsBuilder * .createStudySettings() * .setRetrySettings( - * vizierServiceSettingsBuilder.createStudySettings().getRetrySettings().toBuilder() + * vizierServiceSettingsBuilder + * .createStudySettings() + * .getRetrySettings() + * .toBuilder() * .setTotalTimeout(Duration.ofSeconds(30)) * .build()); * VizierServiceStubSettings vizierServiceSettings = vizierServiceSettingsBuilder.build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java index 8dfabaedd25c..48d797ea66fb 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java @@ -124,6 +124,7 @@ public void createDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -183,6 +184,7 @@ public void createDatasetTest2() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -242,6 +244,7 @@ public void getDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -290,6 +293,7 @@ public void getDatasetTest2() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -338,6 +342,7 @@ public void updateDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java index 25d9fb58e790..642b4bb55c3b 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java @@ -1547,6 +1547,7 @@ public void createBatchPredictionJobTest() throws Exception { .setModelVersionId("modelVersionId-2006125846") .setUnmanagedContainerModel(UnmanagedContainerModel.newBuilder().build()) .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build()) + .setInstanceConfig(BatchPredictionJob.InstanceConfig.newBuilder().build()) .setModelParameters(Value.newBuilder().setBoolValue(true).build()) .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build()) .setDedicatedResources(BatchDedicatedResources.newBuilder().build()) @@ -1615,6 +1616,7 @@ public void createBatchPredictionJobTest2() throws Exception { .setModelVersionId("modelVersionId-2006125846") .setUnmanagedContainerModel(UnmanagedContainerModel.newBuilder().build()) .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build()) + .setInstanceConfig(BatchPredictionJob.InstanceConfig.newBuilder().build()) .setModelParameters(Value.newBuilder().setBoolValue(true).build()) .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build()) .setDedicatedResources(BatchDedicatedResources.newBuilder().build()) @@ -1683,6 +1685,7 @@ public void getBatchPredictionJobTest() throws Exception { .setModelVersionId("modelVersionId-2006125846") .setUnmanagedContainerModel(UnmanagedContainerModel.newBuilder().build()) .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build()) + .setInstanceConfig(BatchPredictionJob.InstanceConfig.newBuilder().build()) .setModelParameters(Value.newBuilder().setBoolValue(true).build()) .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build()) .setDedicatedResources(BatchDedicatedResources.newBuilder().build()) @@ -1750,6 +1753,7 @@ public void getBatchPredictionJobTest2() throws Exception { .setModelVersionId("modelVersionId-2006125846") .setUnmanagedContainerModel(UnmanagedContainerModel.newBuilder().build()) .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build()) + .setInstanceConfig(BatchPredictionJob.InstanceConfig.newBuilder().build()) .setModelParameters(Value.newBuilder().setBoolValue(true).build()) .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build()) .setDedicatedResources(BatchDedicatedResources.newBuilder().build()) diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockTensorboardServiceImpl.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockTensorboardServiceImpl.java index ed5aa0fbcbf9..f91ab119627f 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockTensorboardServiceImpl.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockTensorboardServiceImpl.java @@ -101,6 +101,28 @@ public void getTensorboard( } } + @Override + public void readTensorboardUsage( + ReadTensorboardUsageRequest request, + StreamObserver responseObserver) { + Object response = responses.poll(); + if (response instanceof ReadTensorboardUsageResponse) { + requests.add(request); + responseObserver.onNext(((ReadTensorboardUsageResponse) response)); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError(((Exception) response)); + } else { + responseObserver.onError( + new IllegalArgumentException( + String.format( + "Unrecognized response type %s for method ReadTensorboardUsage, expected %s or %s", + response == null ? "null" : response.getClass().getName(), + ReadTensorboardUsageResponse.class.getName(), + Exception.class.getName()))); + } + } + @Override public void updateTensorboard( UpdateTensorboardRequest request, StreamObserver responseObserver) { diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/TensorboardServiceClientTest.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/TensorboardServiceClientTest.java index 7f67cc431a10..571a52921290 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/TensorboardServiceClientTest.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/TensorboardServiceClientTest.java @@ -322,6 +322,86 @@ public void getTensorboardExceptionTest2() throws Exception { } } + @Test + public void readTensorboardUsageTest() throws Exception { + ReadTensorboardUsageResponse expectedResponse = + ReadTensorboardUsageResponse.newBuilder() + .putAllMonthlyUsageData( + new HashMap()) + .build(); + mockTensorboardService.addResponse(expectedResponse); + + TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]"); + + ReadTensorboardUsageResponse actualResponse = client.readTensorboardUsage(tensorboard); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockTensorboardService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ReadTensorboardUsageRequest actualRequest = + ((ReadTensorboardUsageRequest) actualRequests.get(0)); + + Assert.assertEquals(tensorboard.toString(), actualRequest.getTensorboard()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + public void readTensorboardUsageExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT); + mockTensorboardService.addException(exception); + + try { + TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]"); + client.readTensorboardUsage(tensorboard); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception. + } + } + + @Test + public void readTensorboardUsageTest2() throws Exception { + ReadTensorboardUsageResponse expectedResponse = + ReadTensorboardUsageResponse.newBuilder() + .putAllMonthlyUsageData( + new HashMap()) + .build(); + mockTensorboardService.addResponse(expectedResponse); + + String tensorboard = "tensorboard-266431955"; + + ReadTensorboardUsageResponse actualResponse = client.readTensorboardUsage(tensorboard); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockTensorboardService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ReadTensorboardUsageRequest actualRequest = + ((ReadTensorboardUsageRequest) actualRequests.get(0)); + + Assert.assertEquals(tensorboard, actualRequest.getTensorboard()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + public void readTensorboardUsageExceptionTest2() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT); + mockTensorboardService.addException(exception); + + try { + String tensorboard = "tensorboard-266431955"; + client.readTensorboardUsage(tensorboard); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception. + } + } + @Test public void updateTensorboardTest() throws Exception { Tensorboard expectedResponse = diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java index bfd1982a423d..5ee1641734db 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java @@ -124,6 +124,7 @@ public void createDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -183,6 +184,7 @@ public void createDatasetTest2() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -242,6 +244,7 @@ public void getDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -290,6 +293,7 @@ public void getDatasetTest2() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); @@ -338,6 +342,7 @@ public void updateDatasetTest() throws Exception { .setUpdateTime(Timestamp.newBuilder().build()) .setEtag("etag3123477") .putAllLabels(new HashMap()) + .addAllSavedQueries(new ArrayList()) .setEncryptionSpec(EncryptionSpec.newBuilder().build()) .setMetadataArtifact("metadataArtifact1018119713") .build(); diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockTensorboardServiceImpl.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockTensorboardServiceImpl.java index 20fa2401fd63..c3ed34f1d6e9 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockTensorboardServiceImpl.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockTensorboardServiceImpl.java @@ -101,6 +101,28 @@ public void getTensorboard( } } + @Override + public void readTensorboardUsage( + ReadTensorboardUsageRequest request, + StreamObserver responseObserver) { + Object response = responses.poll(); + if (response instanceof ReadTensorboardUsageResponse) { + requests.add(request); + responseObserver.onNext(((ReadTensorboardUsageResponse) response)); + responseObserver.onCompleted(); + } else if (response instanceof Exception) { + responseObserver.onError(((Exception) response)); + } else { + responseObserver.onError( + new IllegalArgumentException( + String.format( + "Unrecognized response type %s for method ReadTensorboardUsage, expected %s or %s", + response == null ? "null" : response.getClass().getName(), + ReadTensorboardUsageResponse.class.getName(), + Exception.class.getName()))); + } + } + @Override public void updateTensorboard( UpdateTensorboardRequest request, StreamObserver responseObserver) { diff --git a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClientTest.java b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClientTest.java index 7b5f4023dbcf..30765403fa57 100644 --- a/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClientTest.java +++ b/java-aiplatform/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceClientTest.java @@ -322,6 +322,86 @@ public void getTensorboardExceptionTest2() throws Exception { } } + @Test + public void readTensorboardUsageTest() throws Exception { + ReadTensorboardUsageResponse expectedResponse = + ReadTensorboardUsageResponse.newBuilder() + .putAllMonthlyUsageData( + new HashMap()) + .build(); + mockTensorboardService.addResponse(expectedResponse); + + TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]"); + + ReadTensorboardUsageResponse actualResponse = client.readTensorboardUsage(tensorboard); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockTensorboardService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ReadTensorboardUsageRequest actualRequest = + ((ReadTensorboardUsageRequest) actualRequests.get(0)); + + Assert.assertEquals(tensorboard.toString(), actualRequest.getTensorboard()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + public void readTensorboardUsageExceptionTest() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT); + mockTensorboardService.addException(exception); + + try { + TensorboardName tensorboard = TensorboardName.of("[PROJECT]", "[LOCATION]", "[TENSORBOARD]"); + client.readTensorboardUsage(tensorboard); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception. + } + } + + @Test + public void readTensorboardUsageTest2() throws Exception { + ReadTensorboardUsageResponse expectedResponse = + ReadTensorboardUsageResponse.newBuilder() + .putAllMonthlyUsageData( + new HashMap()) + .build(); + mockTensorboardService.addResponse(expectedResponse); + + String tensorboard = "tensorboard-266431955"; + + ReadTensorboardUsageResponse actualResponse = client.readTensorboardUsage(tensorboard); + Assert.assertEquals(expectedResponse, actualResponse); + + List actualRequests = mockTensorboardService.getRequests(); + Assert.assertEquals(1, actualRequests.size()); + ReadTensorboardUsageRequest actualRequest = + ((ReadTensorboardUsageRequest) actualRequests.get(0)); + + Assert.assertEquals(tensorboard, actualRequest.getTensorboard()); + Assert.assertTrue( + channelProvider.isHeaderSent( + ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), + GaxGrpcProperties.getDefaultApiClientHeaderPattern())); + } + + @Test + public void readTensorboardUsageExceptionTest2() throws Exception { + StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT); + mockTensorboardService.addException(exception); + + try { + String tensorboard = "tensorboard-266431955"; + client.readTensorboardUsage(tensorboard); + Assert.fail("No exception raised"); + } catch (InvalidArgumentException e) { + // Expected exception. + } + } + @Test public void updateTensorboardTest() throws Exception { Tensorboard expectedResponse = diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceGrpc.java index fc00d0ab5843..2dd9b71b34af 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexServiceGrpc.java @@ -454,7 +454,8 @@ public void updateIndex( * 

      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+     * been undeployed.
      *
*/ public void deleteIndex( @@ -633,7 +634,8 @@ public void updateIndex( * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+     * been undeployed.
      *
*/ public void deleteIndex( @@ -757,7 +759,8 @@ public com.google.longrunning.Operation updateIndex( * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+     * been undeployed.
      *
*/ public com.google.longrunning.Operation deleteIndex( @@ -871,7 +874,8 @@ protected IndexServiceFutureStub build( * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+     * been undeployed.
      *
*/ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java index af3f703bb6ff..5a4529064f95 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java @@ -1541,12 +1541,15 @@ public void deleteCustomJob( * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to + * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with + * a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to + * `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to * `CANCELLED`. * */ @@ -1697,13 +1700,17 @@ public void deleteHyperparameterTuningJob( * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public void cancelHyperparameterTuningJob( @@ -1781,12 +1788,14 @@ public void deleteBatchPredictionJob( * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public void cancelBatchPredictionJob( @@ -1894,7 +1903,8 @@ public void deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public void pauseModelDeploymentMonitoringJob( @@ -2207,12 +2217,15 @@ public void deleteCustomJob( * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to + * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with + * a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to + * `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to * `CANCELLED`. * */ @@ -2383,13 +2396,17 @@ public void deleteHyperparameterTuningJob( * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public void cancelHyperparameterTuningJob( @@ -2477,12 +2494,14 @@ public void deleteBatchPredictionJob( * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public void cancelBatchPredictionJob( @@ -2605,7 +2624,8 @@ public void deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public void pauseModelDeploymentMonitoringJob( @@ -2715,12 +2735,15 @@ public com.google.longrunning.Operation deleteCustomJob( * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to + * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with + * a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to + * `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to * `CANCELLED`. * */ @@ -2855,13 +2878,17 @@ public com.google.longrunning.Operation deleteHyperparameterTuningJob( * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public com.google.protobuf.Empty cancelHyperparameterTuningJob( @@ -2931,12 +2958,14 @@ public com.google.longrunning.Operation deleteBatchPredictionJob( * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public com.google.protobuf.Empty cancelBatchPredictionJob( @@ -3038,7 +3067,8 @@ public com.google.longrunning.Operation deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public com.google.protobuf.Empty pauseModelDeploymentMonitoringJob( @@ -3144,12 +3174,15 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to + * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with + * a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to + * `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to * `CANCELLED`. * */ @@ -3295,13 +3328,17 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture @@ -3379,12 +3416,14 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public com.google.common.util.concurrent.ListenableFuture @@ -3497,7 +3536,8 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java index 6555d398b15a..5fa51203415b 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java @@ -854,9 +854,12 @@ public void updateModel( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * field.
      *
*/ public void deleteModel( @@ -873,7 +876,8 @@ public void deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public void deleteModelVersion( @@ -903,7 +907,8 @@ public void mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
      *
*/ public void exportModel( @@ -1211,9 +1216,12 @@ public void updateModel( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * field.
      *
*/ public void deleteModel( @@ -1232,7 +1240,8 @@ public void deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public void deleteModelVersion( @@ -1266,7 +1275,8 @@ public void mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
      *
*/ public void exportModel( @@ -1472,9 +1482,12 @@ public com.google.cloud.aiplatform.v1.Model updateModel( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * field.
      *
*/ public com.google.longrunning.Operation deleteModel( @@ -1490,7 +1503,8 @@ public com.google.longrunning.Operation deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public com.google.longrunning.Operation deleteModelVersion( @@ -1518,7 +1532,8 @@ public com.google.cloud.aiplatform.v1.Model mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
      *
*/ public com.google.longrunning.Operation exportModel( @@ -1699,9 +1714,12 @@ protected ModelServiceFutureStub build( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * field.
      *
*/ public com.google.common.util.concurrent.ListenableFuture @@ -1717,7 +1735,8 @@ protected ModelServiceFutureStub build( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public com.google.common.util.concurrent.ListenableFuture @@ -1745,7 +1764,8 @@ protected ModelServiceFutureStub build( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
      *
*/ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java index 866de7d8eb26..af3c07e2c231 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java @@ -624,13 +624,17 @@ public void deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public void cancelTrainingPipeline( @@ -704,12 +708,15 @@ public void deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to + * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to * `CANCELLED`. * */ @@ -887,13 +894,17 @@ public void deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public void cancelTrainingPipeline( @@ -977,12 +988,15 @@ public void deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to + * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to * `CANCELLED`. * */ @@ -1077,13 +1091,17 @@ public com.google.longrunning.Operation deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public com.google.protobuf.Empty cancelTrainingPipeline( @@ -1151,12 +1169,15 @@ public com.google.longrunning.Operation deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to + * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to * `CANCELLED`. * */ @@ -1253,13 +1274,17 @@ protected PipelineServiceFutureStub build( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture @@ -1331,12 +1356,15 @@ protected PipelineServiceFutureStub build( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to + * a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to * `CANCELLED`. * */ diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java index f4d58a2ad488..4dc992ecfdf7 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java @@ -235,10 +235,12 @@ public void predict( * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-     * that served this prediction.
      *
*/ public void rawPredict( @@ -252,10 +254,12 @@ public void rawPredict( * * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -334,10 +338,12 @@ public void predict(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-     * that served this prediction.
      * 

      */
     public void rawPredict(
@@ -352,10 +358,12 @@ public void rawPredict(
      *
      * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -410,10 +418,12 @@ public com.google.cloud.aiplatform.v1.PredictResponse predict(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-     * that served this prediction.
      * 

      */
     public com.google.api.HttpBody rawPredict(
@@ -427,10 +437,12 @@ public com.google.api.HttpBody rawPredict(
      *
      * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -483,10 +495,12 @@ protected PredictionServiceFutureStub build(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+     * prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-     * that served this prediction.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture rawPredict(
@@ -500,10 +514,12 @@ public com.google.common.util.concurrent.ListenableFuture
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceGrpc.java
index ae432f4544f2..c12e7ee371e7 100644
--- a/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceGrpc.java
+++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceGrpc.java
@@ -126,6 +126,56 @@ private TensorboardServiceGrpc() {}
     return getGetTensorboardMethod;
   }
 
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>
+      getReadTensorboardUsageMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ReadTensorboardUsage",
+      requestType = com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>
+      getReadTensorboardUsageMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>
+        getReadTensorboardUsageMethod;
+    if ((getReadTensorboardUsageMethod = TensorboardServiceGrpc.getReadTensorboardUsageMethod)
+        == null) {
+      synchronized (TensorboardServiceGrpc.class) {
+        if ((getReadTensorboardUsageMethod = TensorboardServiceGrpc.getReadTensorboardUsageMethod)
+            == null) {
+          TensorboardServiceGrpc.getReadTensorboardUsageMethod =
+              getReadTensorboardUsageMethod =
+                  io.grpc.MethodDescriptor
+                      .
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ReadTensorboardUsage"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new TensorboardServiceMethodDescriptorSupplier("ReadTensorboardUsage"))
+                      .build();
+        }
+      }
+    }
+    return getReadTensorboardUsageMethod;
+  }
+
   private static volatile io.grpc.MethodDescriptor<
           com.google.cloud.aiplatform.v1.UpdateTensorboardRequest, com.google.longrunning.Operation>
       getUpdateTensorboardMethod;
@@ -1536,6 +1586,21 @@ public void getTensorboard(
           getGetTensorboardMethod(), responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public void readTensorboardUsage(
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest request,
+        io.grpc.stub.StreamObserver
+            responseObserver) {
+      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
+          getReadTensorboardUsageMethod(), responseObserver);
+    }
+
     /**
      *
      *
@@ -1841,8 +1906,8 @@ public void deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -1860,8 +1925,8 @@ public void batchReadTensorboardTimeSeriesData(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -1898,8 +1963,7 @@ public void readTensorboardBlobData(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardExperimentData(
@@ -1916,8 +1980,7 @@ public void writeTensorboardExperimentData(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardRunData(
@@ -1960,6 +2023,13 @@ public final io.grpc.ServerServiceDefinition bindService() {
                   new MethodHandlers<
                       com.google.cloud.aiplatform.v1.GetTensorboardRequest,
                       com.google.cloud.aiplatform.v1.Tensorboard>(this, METHODID_GET_TENSORBOARD)))
+          .addMethod(
+              getReadTensorboardUsageMethod(),
+              io.grpc.stub.ServerCalls.asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest,
+                      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>(
+                      this, METHODID_READ_TENSORBOARD_USAGE)))
           .addMethod(
               getUpdateTensorboardMethod(),
               io.grpc.stub.ServerCalls.asyncUnaryCall(
@@ -2194,6 +2264,23 @@ public void getTensorboard(
           responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public void readTensorboardUsage(
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest request,
+        io.grpc.stub.StreamObserver
+            responseObserver) {
+      io.grpc.stub.ClientCalls.asyncUnaryCall(
+          getChannel().newCall(getReadTensorboardUsageMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
     /**
      *
      *
@@ -2539,8 +2626,8 @@ public void deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -2560,8 +2647,8 @@ public void batchReadTensorboardTimeSeriesData(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -2602,8 +2689,7 @@ public void readTensorboardBlobData(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardExperimentData(
@@ -2622,8 +2708,7 @@ public void writeTensorboardExperimentData(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardRunData(
@@ -2702,6 +2787,19 @@ public com.google.cloud.aiplatform.v1.Tensorboard getTensorboard(
           getChannel(), getGetTensorboardMethod(), getCallOptions(), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse readTensorboardUsage(
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest request) {
+      return io.grpc.stub.ClientCalls.blockingUnaryCall(
+          getChannel(), getReadTensorboardUsageMethod(), getCallOptions(), request);
+    }
+
     /**
      *
      *
@@ -2972,8 +3070,8 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -2989,8 +3087,8 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -3024,8 +3122,7 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.cloud.aiplatform.v1.WriteTensorboardExperimentDataResponse
@@ -3040,8 +3137,7 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.cloud.aiplatform.v1.WriteTensorboardRunDataResponse writeTensorboardRunData(
@@ -3112,6 +3208,20 @@ protected TensorboardServiceFutureStub build(
           getChannel().newCall(getGetTensorboardMethod(), getCallOptions()), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>
+        readTensorboardUsage(com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest request) {
+      return io.grpc.stub.ClientCalls.futureUnaryCall(
+          getChannel().newCall(getReadTensorboardUsageMethod(), getCallOptions()), request);
+    }
+
     /**
      *
      *
@@ -3406,8 +3516,8 @@ protected TensorboardServiceFutureStub build(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -3425,8 +3535,8 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -3445,8 +3555,7 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture<
@@ -3463,8 +3572,7 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture<
@@ -3495,32 +3603,33 @@ protected TensorboardServiceFutureStub build(
 
   private static final int METHODID_CREATE_TENSORBOARD = 0;
   private static final int METHODID_GET_TENSORBOARD = 1;
-  private static final int METHODID_UPDATE_TENSORBOARD = 2;
-  private static final int METHODID_LIST_TENSORBOARDS = 3;
-  private static final int METHODID_DELETE_TENSORBOARD = 4;
-  private static final int METHODID_CREATE_TENSORBOARD_EXPERIMENT = 5;
-  private static final int METHODID_GET_TENSORBOARD_EXPERIMENT = 6;
-  private static final int METHODID_UPDATE_TENSORBOARD_EXPERIMENT = 7;
-  private static final int METHODID_LIST_TENSORBOARD_EXPERIMENTS = 8;
-  private static final int METHODID_DELETE_TENSORBOARD_EXPERIMENT = 9;
-  private static final int METHODID_CREATE_TENSORBOARD_RUN = 10;
-  private static final int METHODID_BATCH_CREATE_TENSORBOARD_RUNS = 11;
-  private static final int METHODID_GET_TENSORBOARD_RUN = 12;
-  private static final int METHODID_UPDATE_TENSORBOARD_RUN = 13;
-  private static final int METHODID_LIST_TENSORBOARD_RUNS = 14;
-  private static final int METHODID_DELETE_TENSORBOARD_RUN = 15;
-  private static final int METHODID_BATCH_CREATE_TENSORBOARD_TIME_SERIES = 16;
-  private static final int METHODID_CREATE_TENSORBOARD_TIME_SERIES = 17;
-  private static final int METHODID_GET_TENSORBOARD_TIME_SERIES = 18;
-  private static final int METHODID_UPDATE_TENSORBOARD_TIME_SERIES = 19;
-  private static final int METHODID_LIST_TENSORBOARD_TIME_SERIES = 20;
-  private static final int METHODID_DELETE_TENSORBOARD_TIME_SERIES = 21;
-  private static final int METHODID_BATCH_READ_TENSORBOARD_TIME_SERIES_DATA = 22;
-  private static final int METHODID_READ_TENSORBOARD_TIME_SERIES_DATA = 23;
-  private static final int METHODID_READ_TENSORBOARD_BLOB_DATA = 24;
-  private static final int METHODID_WRITE_TENSORBOARD_EXPERIMENT_DATA = 25;
-  private static final int METHODID_WRITE_TENSORBOARD_RUN_DATA = 26;
-  private static final int METHODID_EXPORT_TENSORBOARD_TIME_SERIES_DATA = 27;
+  private static final int METHODID_READ_TENSORBOARD_USAGE = 2;
+  private static final int METHODID_UPDATE_TENSORBOARD = 3;
+  private static final int METHODID_LIST_TENSORBOARDS = 4;
+  private static final int METHODID_DELETE_TENSORBOARD = 5;
+  private static final int METHODID_CREATE_TENSORBOARD_EXPERIMENT = 6;
+  private static final int METHODID_GET_TENSORBOARD_EXPERIMENT = 7;
+  private static final int METHODID_UPDATE_TENSORBOARD_EXPERIMENT = 8;
+  private static final int METHODID_LIST_TENSORBOARD_EXPERIMENTS = 9;
+  private static final int METHODID_DELETE_TENSORBOARD_EXPERIMENT = 10;
+  private static final int METHODID_CREATE_TENSORBOARD_RUN = 11;
+  private static final int METHODID_BATCH_CREATE_TENSORBOARD_RUNS = 12;
+  private static final int METHODID_GET_TENSORBOARD_RUN = 13;
+  private static final int METHODID_UPDATE_TENSORBOARD_RUN = 14;
+  private static final int METHODID_LIST_TENSORBOARD_RUNS = 15;
+  private static final int METHODID_DELETE_TENSORBOARD_RUN = 16;
+  private static final int METHODID_BATCH_CREATE_TENSORBOARD_TIME_SERIES = 17;
+  private static final int METHODID_CREATE_TENSORBOARD_TIME_SERIES = 18;
+  private static final int METHODID_GET_TENSORBOARD_TIME_SERIES = 19;
+  private static final int METHODID_UPDATE_TENSORBOARD_TIME_SERIES = 20;
+  private static final int METHODID_LIST_TENSORBOARD_TIME_SERIES = 21;
+  private static final int METHODID_DELETE_TENSORBOARD_TIME_SERIES = 22;
+  private static final int METHODID_BATCH_READ_TENSORBOARD_TIME_SERIES_DATA = 23;
+  private static final int METHODID_READ_TENSORBOARD_TIME_SERIES_DATA = 24;
+  private static final int METHODID_READ_TENSORBOARD_BLOB_DATA = 25;
+  private static final int METHODID_WRITE_TENSORBOARD_EXPERIMENT_DATA = 26;
+  private static final int METHODID_WRITE_TENSORBOARD_RUN_DATA = 27;
+  private static final int METHODID_EXPORT_TENSORBOARD_TIME_SERIES_DATA = 28;
 
   private static final class MethodHandlers
       implements io.grpc.stub.ServerCalls.UnaryMethod,
@@ -3550,6 +3659,13 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (io.grpc.stub.StreamObserver)
                   responseObserver);
           break;
+        case METHODID_READ_TENSORBOARD_USAGE:
+          serviceImpl.readTensorboardUsage(
+              (com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse>)
+                  responseObserver);
+          break;
         case METHODID_UPDATE_TENSORBOARD:
           serviceImpl.updateTensorboard(
               (com.google.cloud.aiplatform.v1.UpdateTensorboardRequest) request,
@@ -3778,6 +3894,7 @@ public static io.grpc.ServiceDescriptor getServiceDescriptor() {
                       .setSchemaDescriptor(new TensorboardServiceFileDescriptorSupplier())
                       .addMethod(getCreateTensorboardMethod())
                       .addMethod(getGetTensorboardMethod())
+                      .addMethod(getReadTensorboardUsageMethod())
                       .addMethod(getUpdateTensorboardMethod())
                       .addMethod(getListTensorboardsMethod())
                       .addMethod(getDeleteTensorboardMethod())
diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceGrpc.java
index 353a5d6b3d45..615ab6597168 100644
--- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceGrpc.java
+++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexServiceGrpc.java
@@ -461,7 +461,8 @@ public void updateIndex(
      * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes]
+     * had been undeployed.
      * 

      */
     public void deleteIndex(
@@ -640,7 +641,8 @@ public void updateIndex(
      * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes]
+     * had been undeployed.
      * 

      */
     public void deleteIndex(
@@ -764,7 +766,8 @@ public com.google.longrunning.Operation updateIndex(
      * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes]
+     * had been undeployed.
      * 

      */
     public com.google.longrunning.Operation deleteIndex(
@@ -879,7 +882,8 @@ protected IndexServiceFutureStub build(
      * 
      * Deletes an Index.
      * An Index can only be deleted when all its
-     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
+     * [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes]
+     * had been undeployed.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture
diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceGrpc.java
index 602b52b63b43..915da2c4dfa5 100644
--- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceGrpc.java
+++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceGrpc.java
@@ -1571,13 +1571,16 @@ public void deleteCustomJob(
      * Cancels a CustomJob.
      * Starts asynchronous cancellation on the CustomJob. The server
      * makes a best effort to cancel the job, but success is not
-     * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or
-     * other methods to check whether the cancellation succeeded or whether the
+     * guaranteed. Clients can use
+     * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob]
+     * or other methods to check whether the cancellation succeeded or whether the
      * job completed despite cancellation. On successful cancellation,
      * the CustomJob is not deleted; instead it becomes a job with
-     * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-     * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to
-     * `CANCELLED`.
+     * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value
+     * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
+     * to `Code.CANCELLED`, and
+     * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set
+     * to `CANCELLED`.
      * 

      */
     public void cancelCustomJob(
@@ -1728,13 +1731,17 @@ public void deleteHyperparameterTuningJob(
      * Cancels a HyperparameterTuningJob.
      * Starts asynchronous cancellation on the HyperparameterTuningJob. The server
      * makes a best effort to cancel the job, but success is not
-     * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or
-     * other methods to check whether the cancellation succeeded or whether the
+     * guaranteed. Clients can use
+     * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob]
+     * or other methods to check whether the cancellation succeeded or whether the
      * job completed despite cancellation. On successful cancellation,
      * the HyperparameterTuningJob is not deleted; instead it becomes a job with
-     * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
-     * of 1, corresponding to `Code.CANCELLED`, and
-     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+     * a
+     * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error]
+     * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and
+     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state]
+     * is set to `CANCELLED`.
      * 

      */
     public void cancelHyperparameterTuningJob(
@@ -1813,12 +1820,14 @@ public void deleteBatchPredictionJob(
      * Cancels a BatchPredictionJob.
      * Starts asynchronous cancellation on the BatchPredictionJob. The server
      * makes the best effort to cancel the job, but success is not
-     * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or
-     * other methods to check whether the cancellation succeeded or whether the
+     * guaranteed. Clients can use
+     * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob]
+     * or other methods to check whether the cancellation succeeded or whether the
      * job completed despite cancellation. On a successful cancellation,
      * the BatchPredictionJob is not deleted;instead its
-     * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
-     * outputted by the job are not deleted.
+     * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state]
+     * is set to `CANCELLED`. Any files already outputted by the job are not
+     * deleted.
      *
*/ public void cancelBatchPredictionJob( @@ -1929,7 +1938,8 @@ public void deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public void pauseModelDeploymentMonitoringJob( @@ -2247,13 +2257,16 @@ public void deleteCustomJob( * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to - * `CANCELLED`. + * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set + * to `CANCELLED`. * */ public void cancelCustomJob( @@ -2424,13 +2437,17 @@ public void deleteHyperparameterTuningJob( * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public void cancelHyperparameterTuningJob( @@ -2519,12 +2536,14 @@ public void deleteBatchPredictionJob( * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public void cancelBatchPredictionJob( @@ -2650,7 +2669,8 @@ public void deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public void pauseModelDeploymentMonitoringJob( @@ -2760,13 +2780,16 @@ public com.google.longrunning.Operation deleteCustomJob( * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to - * `CANCELLED`. + * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set + * to `CANCELLED`. * */ public com.google.protobuf.Empty cancelCustomJob( @@ -2901,13 +2924,17 @@ public com.google.longrunning.Operation deleteHyperparameterTuningJob( * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public com.google.protobuf.Empty cancelHyperparameterTuningJob( @@ -2978,12 +3005,14 @@ public com.google.longrunning.Operation deleteBatchPredictionJob( * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public com.google.protobuf.Empty cancelBatchPredictionJob( @@ -3085,7 +3114,8 @@ public com.google.longrunning.Operation deleteModelDeploymentMonitoringJob( * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public com.google.protobuf.Empty pauseModelDeploymentMonitoringJob( @@ -3191,13 +3221,16 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a CustomJob. * Starts asynchronous cancellation on the CustomJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the CustomJob is not deleted; instead it becomes a job with - * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to - * `CANCELLED`. + * a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value + * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding + * to `Code.CANCELLED`, and + * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set + * to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture @@ -3346,13 +3379,17 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a HyperparameterTuningJob. * Starts asynchronous cancellation on the HyperparameterTuningJob. The server * makes a best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On successful cancellation, * the HyperparameterTuningJob is not deleted; instead it becomes a job with - * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] - * of 1, corresponding to `Code.CANCELLED`, and - * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`. + * a + * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] + * is set to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture @@ -3431,12 +3468,14 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * Cancels a BatchPredictionJob. * Starts asynchronous cancellation on the BatchPredictionJob. The server * makes the best effort to cancel the job, but success is not - * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] + * or other methods to check whether the cancellation succeeded or whether the * job completed despite cancellation. On a successful cancellation, * the BatchPredictionJob is not deleted;instead its - * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already - * outputted by the job are not deleted. + * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] + * is set to `CANCELLED`. Any files already outputted by the job are not + * deleted. * */ public com.google.common.util.concurrent.ListenableFuture @@ -3550,7 +3589,8 @@ protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOption * 
      * Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
      * makes a best effort to cancel the job. Will mark
-     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
+     * [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state]
+     * to 'PAUSED'.
      *
*/ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceGrpc.java index d7c420e73e0e..1eb7250a3d8e 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceGrpc.java @@ -932,9 +932,12 @@ public void updateExplanationDataset( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * field.
      *
*/ public void deleteModel( @@ -951,7 +954,8 @@ public void deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public void deleteModelVersion( @@ -981,7 +985,8 @@ public void mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      *
*/ public void exportModel( @@ -1313,9 +1318,12 @@ public void updateExplanationDataset( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * field.
      *
*/ public void deleteModel( @@ -1334,7 +1342,8 @@ public void deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public void deleteModelVersion( @@ -1368,7 +1377,8 @@ public void mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      *
*/ public void exportModel( @@ -1588,9 +1598,12 @@ public com.google.longrunning.Operation updateExplanationDataset( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * field.
      *
*/ public com.google.longrunning.Operation deleteModel( @@ -1606,7 +1619,8 @@ public com.google.longrunning.Operation deleteModel( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public com.google.longrunning.Operation deleteModelVersion( @@ -1634,7 +1648,8 @@ public com.google.cloud.aiplatform.v1beta1.Model mergeVersionAliases( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      *
*/ public com.google.longrunning.Operation exportModel( @@ -1831,9 +1846,12 @@ protected ModelServiceFutureStub build( * * 
      * Deletes a Model.
-     * A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
-     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
-     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
+     * A model cannot be deleted if any
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the
+     * model in its
+     * [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * field.
      *
*/ public com.google.common.util.concurrent.ListenableFuture @@ -1849,7 +1867,8 @@ protected ModelServiceFutureStub build( * Deletes a Model version. * Model version can only be deleted if there are no [DeployedModels][] * created from it. Deleting the only version in the Model is not allowed. Use - * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead. + * [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for + * deleting the Model instead. * */ public com.google.common.util.concurrent.ListenableFuture @@ -1879,7 +1898,8 @@ protected ModelServiceFutureStub build( * 
      * Exports a trained, exportable Model to a location specified by the
      * user. A Model is considered to be exportable if it has at least one
-     * [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * [supported export
+     * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      *
*/ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceGrpc.java index 37db4b0bb7c9..c11d525b9f1e 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceGrpc.java @@ -632,13 +632,17 @@ public void deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public void cancelTrainingPipeline( @@ -714,13 +718,16 @@ public void deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to - * `CANCELLED`. + * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is + * set to `CANCELLED`. * */ public void cancelPipelineJob( @@ -899,13 +906,17 @@ public void deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public void cancelTrainingPipeline( @@ -991,13 +1002,16 @@ public void deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to - * `CANCELLED`. + * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is + * set to `CANCELLED`. * */ public void cancelPipelineJob( @@ -1091,13 +1105,17 @@ public com.google.longrunning.Operation deleteTrainingPipeline( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public com.google.protobuf.Empty cancelTrainingPipeline( @@ -1165,13 +1183,16 @@ public com.google.longrunning.Operation deletePipelineJob( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to - * `CANCELLED`. + * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is + * set to `CANCELLED`. * */ public com.google.protobuf.Empty cancelPipelineJob( @@ -1269,13 +1290,17 @@ protected PipelineServiceFutureStub build( * Cancels a TrainingPipeline. * Starts asynchronous cancellation on the TrainingPipeline. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the TrainingPipeline is not deleted; instead it becomes a pipeline with - * a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to - * `CANCELLED`. + * a + * [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] + * is set to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture @@ -1347,13 +1372,16 @@ protected PipelineServiceFutureStub build( * Cancels a PipelineJob. * Starts asynchronous cancellation on the PipelineJob. The server * makes a best effort to cancel the pipeline, but success is not - * guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or - * other methods to check whether the cancellation succeeded or whether the + * guaranteed. Clients can use + * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] + * or other methods to check whether the cancellation succeeded or whether the * pipeline completed despite cancellation. On successful cancellation, * the PipelineJob is not deleted; instead it becomes a pipeline with - * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, - * corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to - * `CANCELLED`. + * a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] + * value with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + * corresponding to `Code.CANCELLED`, and + * [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is + * set to `CANCELLED`. * */ public com.google.common.util.concurrent.ListenableFuture diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceGrpc.java index 5b27565a583c..23ab52c3b6c2 100644 --- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceGrpc.java +++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceGrpc.java @@ -240,10 +240,12 @@ public void predict( * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel]
-     * that served this prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] that served
+     * this prediction.
      *
*/ public void rawPredict( @@ -257,10 +259,12 @@ public void rawPredict( * * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -339,10 +343,12 @@ public void predict(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel]
-     * that served this prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] that served
+     * this prediction.
      * 

      */
     public void rawPredict(
@@ -357,10 +363,12 @@ public void rawPredict(
      *
      * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -415,10 +423,12 @@ public com.google.cloud.aiplatform.v1beta1.PredictResponse predict(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel]
-     * that served this prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] that served
+     * this prediction.
      * 

      */
     public com.google.api.HttpBody rawPredict(
@@ -432,10 +442,12 @@ public com.google.api.HttpBody rawPredict(
      *
      * 
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
@@ -488,10 +500,12 @@ protected PredictionServiceFutureStub build(
      * 
      * Perform an online prediction with an arbitrary HTTP payload.
      * The response includes the following HTTP headers:
-     * * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
+     * * `X-Vertex-AI-Endpoint-Id`: ID of the
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
      * prediction.
-     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel]
-     * that served this prediction.
+     * * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] that served
+     * this prediction.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture rawPredict(
@@ -505,10 +519,12 @@ public com.google.common.util.concurrent.ListenableFuture
      * Perform an online explanation.
-     * If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
-     * the corresponding DeployModel must have
+     * If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * is specified, the corresponding DeployModel must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
-     * populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+     * populated. If
+     * [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
      * is not specified, all DeployedModels must have
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
      * populated. Only deployed AutoML tabular Models have
diff --git a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceGrpc.java b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceGrpc.java
index 6380389b1c9e..1c3cfc53ed52 100644
--- a/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceGrpc.java
+++ b/java-aiplatform/grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceGrpc.java
@@ -128,6 +128,56 @@ private TensorboardServiceGrpc() {}
     return getGetTensorboardMethod;
   }
 
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+      getReadTensorboardUsageMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ReadTensorboardUsage",
+      requestType = com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.class,
+      responseType = com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+      getReadTensorboardUsageMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+        getReadTensorboardUsageMethod;
+    if ((getReadTensorboardUsageMethod = TensorboardServiceGrpc.getReadTensorboardUsageMethod)
+        == null) {
+      synchronized (TensorboardServiceGrpc.class) {
+        if ((getReadTensorboardUsageMethod = TensorboardServiceGrpc.getReadTensorboardUsageMethod)
+            == null) {
+          TensorboardServiceGrpc.getReadTensorboardUsageMethod =
+              getReadTensorboardUsageMethod =
+                  io.grpc.MethodDescriptor
+                      .
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ReadTensorboardUsage"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new TensorboardServiceMethodDescriptorSupplier("ReadTensorboardUsage"))
+                      .build();
+        }
+      }
+    }
+    return getReadTensorboardUsageMethod;
+  }
+
   private static volatile io.grpc.MethodDescriptor<
           com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest,
           com.google.longrunning.Operation>
@@ -1558,6 +1608,22 @@ public void getTensorboard(
           getGetTensorboardMethod(), responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public void readTensorboardUsage(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+            responseObserver) {
+      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
+          getReadTensorboardUsageMethod(), responseObserver);
+    }
+
     /**
      *
      *
@@ -1863,8 +1929,8 @@ public void deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -1882,8 +1948,8 @@ public void batchReadTensorboardTimeSeriesData(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -1921,8 +1987,7 @@ public void readTensorboardBlobData(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardExperimentData(
@@ -1939,8 +2004,7 @@ public void writeTensorboardExperimentData(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardRunData(
@@ -1985,6 +2049,13 @@ public final io.grpc.ServerServiceDefinition bindService() {
                       com.google.cloud.aiplatform.v1beta1.GetTensorboardRequest,
                       com.google.cloud.aiplatform.v1beta1.Tensorboard>(
                       this, METHODID_GET_TENSORBOARD)))
+          .addMethod(
+              getReadTensorboardUsageMethod(),
+              io.grpc.stub.ServerCalls.asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest,
+                      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>(
+                      this, METHODID_READ_TENSORBOARD_USAGE)))
           .addMethod(
               getUpdateTensorboardMethod(),
               io.grpc.stub.ServerCalls.asyncUnaryCall(
@@ -2221,6 +2292,24 @@ public void getTensorboard(
           responseObserver);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public void readTensorboardUsage(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+            responseObserver) {
+      io.grpc.stub.ClientCalls.asyncUnaryCall(
+          getChannel().newCall(getReadTensorboardUsageMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
     /**
      *
      *
@@ -2566,8 +2655,8 @@ public void deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -2587,8 +2676,8 @@ public void batchReadTensorboardTimeSeriesData(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -2630,8 +2719,7 @@ public void readTensorboardBlobData(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardExperimentData(
@@ -2650,8 +2738,7 @@ public void writeTensorboardExperimentData(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public void writeTensorboardRunData(
@@ -2731,6 +2818,19 @@ public com.google.cloud.aiplatform.v1beta1.Tensorboard getTensorboard(
           getChannel(), getGetTensorboardMethod(), getCallOptions(), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse readTensorboardUsage(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest request) {
+      return io.grpc.stub.ClientCalls.blockingUnaryCall(
+          getChannel(), getReadTensorboardUsageMethod(), getCallOptions(), request);
+    }
+
     /**
      *
      *
@@ -3001,8 +3101,8 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -3018,8 +3118,8 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -3053,8 +3153,7 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse
@@ -3069,8 +3168,7 @@ public com.google.longrunning.Operation deleteTensorboardTimeSeries(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse
@@ -3142,6 +3240,21 @@ protected TensorboardServiceFutureStub build(
           getChannel().newCall(getGetTensorboardMethod(), getCallOptions()), request);
     }
 
+    /**
+     *
+     *
+     * 
+     * Returns a list of monthly active users for a given TensorBoard instance.
+     * 

+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>
+        readTensorboardUsage(
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest request) {
+      return io.grpc.stub.ClientCalls.futureUnaryCall(
+          getChannel().newCall(getReadTensorboardUsageMethod(), getCallOptions()), request);
+    }
+
     /**
      *
      *
@@ -3440,8 +3553,8 @@ protected TensorboardServiceFutureStub build(
      * 
      * Reads multiple TensorboardTimeSeries' data. The data point number limit is
      * 1000 for scalars, 100 for tensors and blob references. If the number of
-     * data points stored is less than the limit, all data will be returned.
-     * Otherwise, that limit number of data points will be randomly selected from
+     * data points stored is less than the limit, all data is returned.
+     * Otherwise, the number limit of data points is randomly selected from
      * this time series and returned.
      * 

      */
@@ -3459,8 +3572,8 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Reads a TensorboardTimeSeries' data. By default, if the number of data
-     * points stored is less than 1000, all data will be returned. Otherwise, 1000
-     * data points will be randomly selected from this time series and returned.
+     * points stored is less than 1000, all data is returned. Otherwise, 1000
+     * data points is randomly selected from this time series and returned.
      * This value can be changed by changing max_data_points, which can't be
      * greater than 10k.
      * 

@@ -3479,8 +3592,7 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Write time series data points of multiple TensorboardTimeSeries in multiple
-     * TensorboardRun's. If any data fail to be ingested, an error will be
-     * returned.
+     * TensorboardRun's. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture<
@@ -3497,8 +3609,7 @@ protected TensorboardServiceFutureStub build(
      *
      * 
      * Write time series data points into multiple TensorboardTimeSeries under
-     * a TensorboardRun. If any data fail to be ingested, an error will be
-     * returned.
+     * a TensorboardRun. If any data fail to be ingested, an error is returned.
      * 

      */
     public com.google.common.util.concurrent.ListenableFuture<
@@ -3529,32 +3640,33 @@ protected TensorboardServiceFutureStub build(
 
   private static final int METHODID_CREATE_TENSORBOARD = 0;
   private static final int METHODID_GET_TENSORBOARD = 1;
-  private static final int METHODID_UPDATE_TENSORBOARD = 2;
-  private static final int METHODID_LIST_TENSORBOARDS = 3;
-  private static final int METHODID_DELETE_TENSORBOARD = 4;
-  private static final int METHODID_CREATE_TENSORBOARD_EXPERIMENT = 5;
-  private static final int METHODID_GET_TENSORBOARD_EXPERIMENT = 6;
-  private static final int METHODID_UPDATE_TENSORBOARD_EXPERIMENT = 7;
-  private static final int METHODID_LIST_TENSORBOARD_EXPERIMENTS = 8;
-  private static final int METHODID_DELETE_TENSORBOARD_EXPERIMENT = 9;
-  private static final int METHODID_CREATE_TENSORBOARD_RUN = 10;
-  private static final int METHODID_BATCH_CREATE_TENSORBOARD_RUNS = 11;
-  private static final int METHODID_GET_TENSORBOARD_RUN = 12;
-  private static final int METHODID_UPDATE_TENSORBOARD_RUN = 13;
-  private static final int METHODID_LIST_TENSORBOARD_RUNS = 14;
-  private static final int METHODID_DELETE_TENSORBOARD_RUN = 15;
-  private static final int METHODID_BATCH_CREATE_TENSORBOARD_TIME_SERIES = 16;
-  private static final int METHODID_CREATE_TENSORBOARD_TIME_SERIES = 17;
-  private static final int METHODID_GET_TENSORBOARD_TIME_SERIES = 18;
-  private static final int METHODID_UPDATE_TENSORBOARD_TIME_SERIES = 19;
-  private static final int METHODID_LIST_TENSORBOARD_TIME_SERIES = 20;
-  private static final int METHODID_DELETE_TENSORBOARD_TIME_SERIES = 21;
-  private static final int METHODID_BATCH_READ_TENSORBOARD_TIME_SERIES_DATA = 22;
-  private static final int METHODID_READ_TENSORBOARD_TIME_SERIES_DATA = 23;
-  private static final int METHODID_READ_TENSORBOARD_BLOB_DATA = 24;
-  private static final int METHODID_WRITE_TENSORBOARD_EXPERIMENT_DATA = 25;
-  private static final int METHODID_WRITE_TENSORBOARD_RUN_DATA = 26;
-  private static final int METHODID_EXPORT_TENSORBOARD_TIME_SERIES_DATA = 27;
+  private static final int METHODID_READ_TENSORBOARD_USAGE = 2;
+  private static final int METHODID_UPDATE_TENSORBOARD = 3;
+  private static final int METHODID_LIST_TENSORBOARDS = 4;
+  private static final int METHODID_DELETE_TENSORBOARD = 5;
+  private static final int METHODID_CREATE_TENSORBOARD_EXPERIMENT = 6;
+  private static final int METHODID_GET_TENSORBOARD_EXPERIMENT = 7;
+  private static final int METHODID_UPDATE_TENSORBOARD_EXPERIMENT = 8;
+  private static final int METHODID_LIST_TENSORBOARD_EXPERIMENTS = 9;
+  private static final int METHODID_DELETE_TENSORBOARD_EXPERIMENT = 10;
+  private static final int METHODID_CREATE_TENSORBOARD_RUN = 11;
+  private static final int METHODID_BATCH_CREATE_TENSORBOARD_RUNS = 12;
+  private static final int METHODID_GET_TENSORBOARD_RUN = 13;
+  private static final int METHODID_UPDATE_TENSORBOARD_RUN = 14;
+  private static final int METHODID_LIST_TENSORBOARD_RUNS = 15;
+  private static final int METHODID_DELETE_TENSORBOARD_RUN = 16;
+  private static final int METHODID_BATCH_CREATE_TENSORBOARD_TIME_SERIES = 17;
+  private static final int METHODID_CREATE_TENSORBOARD_TIME_SERIES = 18;
+  private static final int METHODID_GET_TENSORBOARD_TIME_SERIES = 19;
+  private static final int METHODID_UPDATE_TENSORBOARD_TIME_SERIES = 20;
+  private static final int METHODID_LIST_TENSORBOARD_TIME_SERIES = 21;
+  private static final int METHODID_DELETE_TENSORBOARD_TIME_SERIES = 22;
+  private static final int METHODID_BATCH_READ_TENSORBOARD_TIME_SERIES_DATA = 23;
+  private static final int METHODID_READ_TENSORBOARD_TIME_SERIES_DATA = 24;
+  private static final int METHODID_READ_TENSORBOARD_BLOB_DATA = 25;
+  private static final int METHODID_WRITE_TENSORBOARD_EXPERIMENT_DATA = 26;
+  private static final int METHODID_WRITE_TENSORBOARD_RUN_DATA = 27;
+  private static final int METHODID_EXPORT_TENSORBOARD_TIME_SERIES_DATA = 28;
 
   private static final class MethodHandlers
       implements io.grpc.stub.ServerCalls.UnaryMethod,
@@ -3584,6 +3696,13 @@ public void invoke(Req request, io.grpc.stub.StreamObserver responseObserv
               (io.grpc.stub.StreamObserver)
                   responseObserver);
           break;
+        case METHODID_READ_TENSORBOARD_USAGE:
+          serviceImpl.readTensorboardUsage(
+              (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse>)
+                  responseObserver);
+          break;
         case METHODID_UPDATE_TENSORBOARD:
           serviceImpl.updateTensorboard(
               (com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest) request,
@@ -3821,6 +3940,7 @@ public static io.grpc.ServiceDescriptor getServiceDescriptor() {
                       .setSchemaDescriptor(new TensorboardServiceFileDescriptorSupplier())
                       .addMethod(getCreateTensorboardMethod())
                       .addMethod(getGetTensorboardMethod())
+                      .addMethod(getReadTensorboardUsageMethod())
                       .addMethod(getUpdateTensorboardMethod())
                       .addMethod(getListTensorboardsMethod())
                       .addMethod(getDeleteTensorboardMethod())
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequest.java
index 4b21dcd5927e..0e1d1f9eb792 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+ * Request message for
+ * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsRequest}
@@ -77,9 +78,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -105,9 +105,8 @@ public java.lang.String getContext() {
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -469,7 +468,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+   * Request message for
+   * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsRequest}
@@ -699,9 +699,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -726,9 +725,8 @@ public java.lang.String getContext() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -753,9 +751,8 @@ public com.google.protobuf.ByteString getContextBytes() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -779,9 +776,8 @@ public Builder setContext(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -801,9 +797,8 @@ public Builder clearContext() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
index 661ee03470aa..8d23a60c21cc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface AddContextArtifactsAndExecutionsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -44,9 +43,8 @@ public interface AddContextArtifactsAndExecutionsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsResponse.java
index 0306cc6a3bc4..31823127557f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextArtifactsAndExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+ * Response message for
+ * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsResponse}
@@ -223,7 +224,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+   * Response message for
+   * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenRequest.java
index 9df6451922ed..07e3ad9a6ddc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+ * Request message for
+ * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddContextChildrenRequest}
@@ -366,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+   * Request message for
+   * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddContextChildrenRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenResponse.java
index b9f118ea1ffe..c3270bebd7ee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddContextChildrenResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+ * Response message for
+ * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddContextChildrenResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+   * Response message for
+   * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddContextChildrenResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsRequest.java
index 0f8f1b67502f..1bd77b2a2fe2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+ * Request message for
+ * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddExecutionEventsRequest}
@@ -371,7 +372,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+   * Request message for
+   * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddExecutionEventsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsResponse.java
index 0cdc2bf8f674..e576dcf82748 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddExecutionEventsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+ * Response message for
+ * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddExecutionEventsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+   * Response message for
+   * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddExecutionEventsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddTrialMeasurementRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddTrialMeasurementRequest.java
index b6e2304fd27d..cdc9a3c0cb28 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddTrialMeasurementRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AddTrialMeasurementRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
+ * Request message for
+ * [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.AddTrialMeasurementRequest}
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
+   * Request message for
+   * [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.AddTrialMeasurementRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java
index 75e9b47632bf..7bd8884bde37 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java
@@ -136,8 +136,9 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+   * defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -165,8 +166,9 @@ public java.lang.String getPayloadSchemaUri() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+   * defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -344,8 +346,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -368,8 +370,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -473,7 +475,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -486,7 +489,8 @@ public int getLabelsCount() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -509,7 +513,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -522,7 +527,8 @@ public java.util.Map getLabels() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -536,7 +542,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -549,7 +556,8 @@ public java.util.Map getLabelsMap() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -567,7 +575,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -580,7 +589,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -1275,8 +1285,9 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+     * defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1303,8 +1314,9 @@ public java.lang.String getPayloadSchemaUri() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+     * defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1331,8 +1343,9 @@ public com.google.protobuf.ByteString getPayloadSchemaUriBytes() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+     * defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1358,8 +1371,9 @@ public Builder setPayloadSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+     * defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1381,8 +1395,9 @@ public Builder clearPayloadSchemaUri() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+     * defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -2000,8 +2015,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2023,8 +2038,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2046,8 +2061,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2068,8 +2083,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2086,8 +2101,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2340,7 +2355,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2353,7 +2369,8 @@ public int getLabelsCount() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2376,7 +2393,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2389,7 +2407,8 @@ public java.util.Map getLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2403,7 +2422,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2416,7 +2436,8 @@ public java.util.Map getLabelsMap() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2435,7 +2456,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2448,7 +2470,8 @@ public java.lang.String getLabelsOrDefault(
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2474,7 +2497,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2487,7 +2511,8 @@ public Builder clearLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2509,7 +2534,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2522,7 +2548,8 @@ public java.util.Map getMutableLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2543,7 +2570,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2556,7 +2584,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java
index a3df5ee5d172..e467ce242841 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java
@@ -52,8 +52,9 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+   * defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -70,8 +71,9 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+   * defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -203,8 +205,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -216,8 +218,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -271,7 +273,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -284,7 +287,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -295,7 +299,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -308,7 +313,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -322,7 +328,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -335,7 +342,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -346,7 +354,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -359,7 +368,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -375,7 +385,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -388,7 +399,8 @@ java.lang.String getLabelsOrDefault(
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java
index 97e332fa681a..6ef063a4d80e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java
@@ -275,8 +275,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -299,8 +299,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1390,8 +1390,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1413,8 +1413,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1436,8 +1436,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1458,8 +1458,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1476,8 +1476,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java
index 492e7d0bad43..e7f93b36f382 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java
@@ -157,8 +157,8 @@ public interface AnnotationSpecOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -170,8 +170,8 @@ public interface AnnotationSpecOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Attribution.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Attribution.java
index 3f6cb6ad54e5..babc2e4729f0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Attribution.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Attribution.java
@@ -75,12 +75,14 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. Model predicted output if the input instance is constructed from the
-   * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Model predicted output if the input instance is constructed
+   * from the baselines of all the features defined in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The field name of the output is determined by the key in
    * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
    * If the Model's predicted output has multiple dimensions (rank > 1), this is
-   * the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+   * the value in the output located by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
    * If there are multiple baselines, their output values are averaged.
    * 

    *
@@ -101,9 +103,11 @@ public double getBaselineOutputValue() {
    * 
    * Output only. Model predicted output on the corresponding [explanation
    * instance][ExplainRequest.instances]. The field name of the output is
-   * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+   * determined by the key in
+   * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
    * If the Model predicted output has multiple dimensions, this is the value in
-   * the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+   * the output located by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
    * 

    *
    * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -121,12 +125,15 @@ public double getInstanceOutputValue() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -137,10 +144,13 @@ public double getInstanceOutputValue() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -157,12 +167,15 @@ public boolean hasFeatureAttributions() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -173,10 +186,13 @@ public boolean hasFeatureAttributions() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -195,12 +211,15 @@ public com.google.protobuf.Value getFeatureAttributions() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -211,10 +230,13 @@ public com.google.protobuf.Value getFeatureAttributions() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -296,8 +318,9 @@ public int getOutputIndex(int index) {
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+   * example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -324,8 +347,9 @@ public java.lang.String getOutputDisplayName() {
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+   * example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -355,19 +379,25 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
    *
    *
    * 
-   * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-   * explanation method. Lower value means more precise attributions.
+   * Output only. Error of
+   * [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * caused by approximation used in the explanation method. Lower value means
+   * more precise attributions.
    * * For Sampled Shapley
    * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
+   * increasing
+   * [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+   * might reduce the error.
    * * For Integrated Gradients
    * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-   * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
    * increasing
-   * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+   * [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+   * might reduce the error.
+   * * For [XRAI
+   * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+   * reduce the error.
    * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
    * for more information.
    * 

@@ -962,12 +992,14 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -983,12 +1015,14 @@ public double getBaselineOutputValue() {
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -1007,12 +1041,14 @@ public Builder setBaselineOutputValue(double value) {
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -1034,9 +1070,11 @@ public Builder clearBaselineOutputValue() {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1053,9 +1091,11 @@ public double getInstanceOutputValue() {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1075,9 +1115,11 @@ public Builder setInstanceOutputValue(double value) {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1101,12 +1143,15 @@ public Builder clearInstanceOutputValue() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1117,10 +1162,13 @@ public Builder clearInstanceOutputValue() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1136,12 +1184,15 @@ public boolean hasFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1152,10 +1203,13 @@ public boolean hasFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1177,12 +1231,15 @@ public com.google.protobuf.Value getFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1193,10 +1250,13 @@ public com.google.protobuf.Value getFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1220,12 +1280,15 @@ public Builder setFeatureAttributions(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1236,10 +1299,13 @@ public Builder setFeatureAttributions(com.google.protobuf.Value value) {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1260,12 +1326,15 @@ public Builder setFeatureAttributions(com.google.protobuf.Value.Builder builderF
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1276,10 +1345,13 @@ public Builder setFeatureAttributions(com.google.protobuf.Value.Builder builderF
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1307,12 +1379,15 @@ public Builder mergeFeatureAttributions(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1323,10 +1398,13 @@ public Builder mergeFeatureAttributions(com.google.protobuf.Value value) {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1348,12 +1426,15 @@ public Builder clearFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1364,10 +1445,13 @@ public Builder clearFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1383,12 +1467,15 @@ public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1399,10 +1486,13 @@ public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1422,12 +1512,15 @@ public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+     * to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * contributed to the predicted result.
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+     * to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
      *     [floating number][google.protobuf.Value.number_value].
@@ -1438,10 +1531,13 @@ public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1631,8 +1727,9 @@ public Builder clearOutputIndex() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+     * example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1658,8 +1755,9 @@ public java.lang.String getOutputDisplayName() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+     * example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1685,8 +1783,9 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+     * example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1711,8 +1810,9 @@ public Builder setOutputDisplayName(java.lang.String value) {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+     * example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1733,8 +1833,9 @@ public Builder clearOutputDisplayName() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+     * example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1762,19 +1863,25 @@ public Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+     * reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

@@ -1791,19 +1898,25 @@ public double getApproximationError() {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+     * reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

@@ -1823,19 +1936,25 @@ public Builder setApproximationError(double value) {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+     * reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AttributionOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AttributionOrBuilder.java
index 1fa08a842ade..470297a4f6d3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AttributionOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AttributionOrBuilder.java
@@ -27,12 +27,14 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Model predicted output if the input instance is constructed from the
-   * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Model predicted output if the input instance is constructed
+   * from the baselines of all the features defined in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The field name of the output is determined by the key in
    * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
    * If the Model's predicted output has multiple dimensions (rank > 1), this is
-   * the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+   * the value in the output located by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
    * If there are multiple baselines, their output values are averaged.
    * 

    *
@@ -48,9 +50,11 @@ public interface AttributionOrBuilder
    * 
    * Output only. Model predicted output on the corresponding [explanation
    * instance][ExplainRequest.instances]. The field name of the output is
-   * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+   * determined by the key in
+   * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
    * If the Model predicted output has multiple dimensions, this is the value in
-   * the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+   * the output located by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
    * 

    *
    * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -63,12 +67,15 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -79,10 +86,13 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -96,12 +106,15 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -112,10 +125,13 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -129,12 +145,15 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+   * to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * contributed to the predicted result.
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+   * to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
    *     [floating number][google.protobuf.Value.number_value].
@@ -145,10 +164,13 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -214,8 +236,9 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+   * example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -231,8 +254,9 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+   * example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -249,19 +273,25 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-   * explanation method. Lower value means more precise attributions.
+   * Output only. Error of
+   * [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * caused by approximation used in the explanation method. Lower value means
+   * more precise attributions.
    * * For Sampled Shapley
    * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
+   * increasing
+   * [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+   * might reduce the error.
    * * For Integrated Gradients
    * [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-   * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
    * increasing
-   * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+   * [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+   * might reduce the error.
+   * * For [XRAI
+   * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+   * reduce the error.
    * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
    * for more information.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java
index bb1ef62f32a5..b9bdfd598339 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java
@@ -73,11 +73,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-   * on. If traffic against it increases, it may dynamically be deployed onto
-   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-   * of these extra replicas may be freed.
-   * If the requested value is too large, the deployment will error.
+   * Immutable. The minimum number of replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas up to
+   * [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+   * and as traffic decreases, some of these extra replicas may be freed. If the
+   * requested value is too large, the deployment will error.
    * 

    *
    * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -95,15 +96,15 @@ public int getMinReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, a no upper bound for scaling under heavy
-   * traffic will be assume, though Vertex AI may be unable to scale beyond
-   * certain replica number.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, a no upper bound for scaling under
+   * heavy traffic will be assume, though Vertex AI may be unable to scale
+   * beyond certain replica number.
    * 

    *
    * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -472,11 +473,12 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -491,11 +493,12 @@ public int getMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -513,11 +516,12 @@ public Builder setMinReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -536,15 +540,15 @@ public Builder clearMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -559,15 +563,15 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -585,15 +589,15 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java
index 16049c561dce..47e34af849c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java
@@ -27,11 +27,12 @@ public interface AutomaticResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-   * on. If traffic against it increases, it may dynamically be deployed onto
-   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-   * of these extra replicas may be freed.
-   * If the requested value is too large, the deployment will error.
+   * Immutable. The minimum number of replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas up to
+   * [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+   * and as traffic decreases, some of these extra replicas may be freed. If the
+   * requested value is too large, the deployment will error.
    * 

    *
    * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -44,15 +45,15 @@ public interface AutomaticResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, a no upper bound for scaling under heavy
-   * traffic will be assume, though Vertex AI may be unable to scale beyond
-   * certain replica number.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, a no upper bound for scaling under
+   * heavy traffic will be assume, though Vertex AI may be unable to scale
+   * beyond certain replica number.
    * 

    *
    * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequest.java
index eddb0d44895c..ed615f975d40 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+ * Request message for
+ * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateFeaturesRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -131,10 +132,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -149,10 +151,11 @@ public java.util.List getRe
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -168,10 +171,11 @@ public java.util.List getRe
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -186,10 +190,11 @@ public int getRequestsCount() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -204,10 +209,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequest getRequests(int index
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -395,7 +401,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+   * Request message for
+   * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateFeaturesRequest}
@@ -627,8 +634,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -653,8 +660,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -679,8 +686,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -704,8 +711,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -725,8 +732,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -769,10 +776,11 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -790,10 +798,11 @@ public java.util.List getRe
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -811,10 +820,11 @@ public int getRequestsCount() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -832,10 +842,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequest getRequests(int index
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -860,10 +871,11 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -885,10 +897,11 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -912,10 +925,11 @@ public Builder addRequests(com.google.cloud.aiplatform.v1.CreateFeatureRequest v
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -940,10 +954,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -965,10 +980,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -990,10 +1006,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1015,10 +1032,11 @@ public Builder addAllRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1039,10 +1057,11 @@ public Builder clearRequests() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1063,10 +1082,11 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1081,10 +1101,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequest.Builder getRequestsBu
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1103,10 +1124,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequestOrBuilder getRequestsO
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1125,10 +1147,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequestOrBuilder getRequestsO
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1143,10 +1166,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequest.Builder addRequestsBu
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1163,10 +1187,11 @@ public com.google.cloud.aiplatform.v1.CreateFeatureRequest.Builder addRequestsBu
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequestOrBuilder.java
index c453e6481a85..8dab54ba67da 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -43,8 +43,8 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -60,10 +60,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -75,10 +76,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -90,10 +92,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -105,10 +108,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -121,10 +125,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesResponse.java
index d5d00a0dff99..29052c3a1a39 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+ * Response message for
+ * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateFeaturesResponse}
@@ -302,7 +303,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+   * Response message for
+   * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateFeaturesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsRequest.java
index 02f5a2a8d071..96089ffd5da8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+ * Request message for
+ * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardRunsRequest}
@@ -392,7 +393,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+   * Request message for
+   * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardRunsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsResponse.java
index 27b72142098d..e974908fdd93 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardRunsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+ * Response message for
+ * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardRunsResponse}
@@ -305,7 +306,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+   * Response message for
+   * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardRunsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequest.java
index 511d67683c32..048aa6df0b25 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesRequest}
@@ -142,8 +143,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -159,8 +160,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -177,8 +178,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -193,8 +194,8 @@ public int getRequestsCount() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -209,8 +210,8 @@ public com.google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest getRequ
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -399,7 +400,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesRequest}
@@ -801,8 +803,8 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -821,8 +823,8 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -840,8 +842,8 @@ public int getRequestsCount() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -860,8 +862,8 @@ public com.google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest getRequ
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -886,8 +888,8 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -910,8 +912,8 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -936,8 +938,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -962,8 +964,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -985,8 +987,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1009,8 +1011,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1034,8 +1036,8 @@ public Builder addAllRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1056,8 +1058,8 @@ public Builder clearRequests() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1078,8 +1080,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1094,8 +1096,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1114,8 +1116,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1135,8 +1137,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1154,8 +1156,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1174,8 +1176,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
index 827719082a08..34e74e7167ed 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
@@ -68,8 +68,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -82,8 +82,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -95,8 +95,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -108,8 +108,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -123,8 +123,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesResponse.java
index 528aab04d04a..3434a6edfd35 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchCreateTensorboardTimeSeriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+ * Response message for
+ * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesResponse}
@@ -315,7 +316,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+   * Response message for
+   * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java
index 3fef614080e9..c2924ec84257 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java
@@ -126,8 +126,8 @@ public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuild
    *
    *
    * 
-   * Immutable. The number of machine replicas used at the start of the batch operation.
-   * If not set, Vertex AI decides starting number, not greater than
+   * Immutable. The number of machine replicas used at the start of the batch
+   * operation. If not set, Vertex AI decides starting number, not greater than
    * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
    * 

    *
@@ -146,8 +146,8 @@ public int getStartingReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of machine replicas the batch operation may be scaled
-   * to. The default value is 10.
+   * Immutable. The maximum number of machine replicas the batch operation may
+   * be scaled to. The default value is 10.
    * 

    *
    * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -754,8 +754,8 @@ public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuild
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -771,8 +771,8 @@ public int getStartingReplicaCount() {
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -791,8 +791,8 @@ public Builder setStartingReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -812,8 +812,8 @@ public Builder clearStartingReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -828,8 +828,8 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -847,8 +847,8 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java
index cdaf89564488..6272599b57f0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java
@@ -68,8 +68,8 @@ public interface BatchDedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The number of machine replicas used at the start of the batch operation.
-   * If not set, Vertex AI decides starting number, not greater than
+   * Immutable. The number of machine replicas used at the start of the batch
+   * operation. If not set, Vertex AI decides starting number, not greater than
    * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
    * 

    *
@@ -83,8 +83,8 @@ public interface BatchDedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of machine replicas the batch operation may be scaled
-   * to. The default value is 10.
+   * Immutable. The maximum number of machine replicas the batch operation may
+   * be scaled to. The default value is 10.
    * 

    *
    * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesRequest.java
index 63aa70ceb2b0..79fea3976ae1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+ * Request message for
+ * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest}
@@ -387,7 +388,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+   * Request message for
+   * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponse.java
index 8512d359c046..74c91af0425a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+ * Response message for
+ * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse}
@@ -75,7 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -91,7 +93,8 @@ public com.google.protobuf.ProtocolStringList getImportedModelEvaluationSlicesLi
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -107,7 +110,8 @@ public int getImportedModelEvaluationSlicesCount() {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -124,7 +128,8 @@ public java.lang.String getImportedModelEvaluationSlices(int index) {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -312,7 +317,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+   * Response message for
+   * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse}
@@ -516,7 +522,8 @@ private void ensureImportedModelEvaluationSlicesIsMutable() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -532,7 +539,8 @@ public com.google.protobuf.ProtocolStringList getImportedModelEvaluationSlicesLi
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -548,7 +556,8 @@ public int getImportedModelEvaluationSlicesCount() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -565,7 +574,8 @@ public java.lang.String getImportedModelEvaluationSlices(int index) {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -582,7 +592,8 @@ public com.google.protobuf.ByteString getImportedModelEvaluationSlicesBytes(int
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -606,7 +617,8 @@ public Builder setImportedModelEvaluationSlices(int index, java.lang.String valu
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -629,7 +641,8 @@ public Builder addImportedModelEvaluationSlices(java.lang.String value) {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -651,7 +664,8 @@ public Builder addAllImportedModelEvaluationSlices(
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -670,7 +684,8 @@ public Builder clearImportedModelEvaluationSlices() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
index 660e3470967b..48e0e3bccaec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
@@ -27,7 +27,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -70,7 +73,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java
index 585444c0d3e4..c2ff2d505641 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * Runtime operation information for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata}
@@ -2136,7 +2137,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * Runtime operation information for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java
index 5e8a8c7c2dec..b816b5c27b51 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * Request message for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesRequest}
@@ -394,7 +395,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * Request message for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java
index 23cc943129b3..5299d066b9a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * Response message for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesResponse}
@@ -319,7 +320,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * Response message for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java
index b62b27818dfd..914bbb1c5774 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java
@@ -22,8 +22,10 @@
  *
  *
  * 
- * A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
- * on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+ * A job that uses a
+ * [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
+ * predictions on multiple [input
+ * instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
  * predictions for significant portion of the instances fail, the job may finish
  * without attempting predictions for all remaining instances.
  * 

@@ -209,9 +211,11 @@ public interface InputConfigOrBuilder
    *
    *
    * 
-   * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-   * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
-   * formats, and how instances should be expressed via any of them.
+   * Configures the input to
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+   * [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * for Model's supported input formats, and how instances should be expressed
+   * via any of them.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig}
@@ -674,9 +678,11 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-     * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
-     * formats, and how instances should be expressed via any of them.
+     * Configures the input to
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+     * [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * for Model's supported input formats, and how instances should be expressed
+     * via any of them.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig}
@@ -1554,6 +1560,2263 @@ public com.google.protobuf.Parser getParserForType() {
     }
   }
 
+  public interface InstanceConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * The format of the instance that the Model accepts. Vertex AI will
+     * convert compatible
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+     * to the specified format.
+     * Supported values are:
+     * * `object`: Each input is converted to JSON object format.
+     *     * For `bigquery`, each row is converted to an object.
+     *     * For `jsonl`, each line of the JSONL input must be an object.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * * `array`: Each input is converted to JSON array format.
+     *     * For `bigquery`, each row is converted to an array. The order
+     *       of columns is determined by the BigQuery column order, unless
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * For `jsonl`, if each line of the JSONL input is an object,
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * If not specified, Vertex AI converts the batch prediction input as
+     * follows:
+     *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+     *    order of columns is the same as defined in the file or table, unless
+     *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
+     *  * For `jsonl`, the prediction instance format is determined by
+     *    each line of the input.
+     *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+     *    an object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the record.
+     *  * For `file-list`, each file in the list will be converted to an
+     *    object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the file.
+     * 

+     *
+     * string instance_type = 1;
+     *
+     * @return The instanceType.
+     */
+    java.lang.String getInstanceType();
+    /**
+     *
+     *
+     * 
+     * The format of the instance that the Model accepts. Vertex AI will
+     * convert compatible
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+     * to the specified format.
+     * Supported values are:
+     * * `object`: Each input is converted to JSON object format.
+     *     * For `bigquery`, each row is converted to an object.
+     *     * For `jsonl`, each line of the JSONL input must be an object.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * * `array`: Each input is converted to JSON array format.
+     *     * For `bigquery`, each row is converted to an array. The order
+     *       of columns is determined by the BigQuery column order, unless
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * For `jsonl`, if each line of the JSONL input is an object,
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * If not specified, Vertex AI converts the batch prediction input as
+     * follows:
+     *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+     *    order of columns is the same as defined in the file or table, unless
+     *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
+     *  * For `jsonl`, the prediction instance format is determined by
+     *    each line of the input.
+     *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+     *    an object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the record.
+     *  * For `file-list`, each file in the list will be converted to an
+     *    object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the file.
+     * 

+     *
+     * string instance_type = 1;
+     *
+     * @return The bytes for instanceType.
+     */
+    com.google.protobuf.ByteString getInstanceTypeBytes();
+
+    /**
+     *
+     *
+     * 
+     * The name of the field that is considered as a key.
+     * The values identified by the key field is not included in the transformed
+     * instances that is sent to the Model. This is similar to
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
+     *  * For `jsonl` output format, the output will have a `key` field
+     *    instead of the `instance` field.
+     *  * For `csv`/`bigquery` output format, the output will have have a `key`
+     *    column instead of the instance feature columns.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * string key_field = 2;
+     *
+     * @return The keyField.
+     */
+    java.lang.String getKeyField();
+    /**
+     *
+     *
+     * 
+     * The name of the field that is considered as a key.
+     * The values identified by the key field is not included in the transformed
+     * instances that is sent to the Model. This is similar to
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
+     *  * For `jsonl` output format, the output will have a `key` field
+     *    instead of the `instance` field.
+     *  * For `csv`/`bigquery` output format, the output will have have a `key`
+     *    column instead of the instance feature columns.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * string key_field = 2;
+     *
+     * @return The bytes for keyField.
+     */
+    com.google.protobuf.ByteString getKeyFieldBytes();
+
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @return A list containing the includedFields.
+     */
+    java.util.List getIncludedFieldsList();
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @return The count of includedFields.
+     */
+    int getIncludedFieldsCount();
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @param index The index of the element to return.
+     * @return The includedFields at the given index.
+     */
+    java.lang.String getIncludedFields(int index);
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the includedFields at the given index.
+     */
+    com.google.protobuf.ByteString getIncludedFieldsBytes(int index);
+
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @return A list containing the excludedFields.
+     */
+    java.util.List getExcludedFieldsList();
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @return The count of excludedFields.
+     */
+    int getExcludedFieldsCount();
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @param index The index of the element to return.
+     * @return The excludedFields at the given index.
+     */
+    java.lang.String getExcludedFields(int index);
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the excludedFields at the given index.
+     */
+    com.google.protobuf.ByteString getExcludedFieldsBytes(int index);
+  }
+  /**
+   *
+   *
+   * 
+   * Configuration defining how to transform batch prediction input instances to
+   * the instances that the Model accepts.
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig}
+   */
+  public static final class InstanceConfig extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)
+      InstanceConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use InstanceConfig.newBuilder() to construct.
+    private InstanceConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private InstanceConfig() {
+      instanceType_ = "";
+      keyField_ = "";
+      includedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      excludedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new InstanceConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.class,
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder.class);
+    }
+
+    public static final int INSTANCE_TYPE_FIELD_NUMBER = 1;
+    private volatile java.lang.Object instanceType_;
+    /**
+     *
+     *
+     * 
+     * The format of the instance that the Model accepts. Vertex AI will
+     * convert compatible
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+     * to the specified format.
+     * Supported values are:
+     * * `object`: Each input is converted to JSON object format.
+     *     * For `bigquery`, each row is converted to an object.
+     *     * For `jsonl`, each line of the JSONL input must be an object.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * * `array`: Each input is converted to JSON array format.
+     *     * For `bigquery`, each row is converted to an array. The order
+     *       of columns is determined by the BigQuery column order, unless
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * For `jsonl`, if each line of the JSONL input is an object,
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * If not specified, Vertex AI converts the batch prediction input as
+     * follows:
+     *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+     *    order of columns is the same as defined in the file or table, unless
+     *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
+     *  * For `jsonl`, the prediction instance format is determined by
+     *    each line of the input.
+     *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+     *    an object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the record.
+     *  * For `file-list`, each file in the list will be converted to an
+     *    object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the file.
+     * 

+     *
+     * string instance_type = 1;
+     *
+     * @return The instanceType.
+     */
+    @java.lang.Override
+    public java.lang.String getInstanceType() {
+      java.lang.Object ref = instanceType_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        instanceType_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The format of the instance that the Model accepts. Vertex AI will
+     * convert compatible
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+     * to the specified format.
+     * Supported values are:
+     * * `object`: Each input is converted to JSON object format.
+     *     * For `bigquery`, each row is converted to an object.
+     *     * For `jsonl`, each line of the JSONL input must be an object.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * * `array`: Each input is converted to JSON array format.
+     *     * For `bigquery`, each row is converted to an array. The order
+     *       of columns is determined by the BigQuery column order, unless
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * For `jsonl`, if each line of the JSONL input is an object,
+     *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
+     *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+     *       `tf-record-gzip`.
+     * If not specified, Vertex AI converts the batch prediction input as
+     * follows:
+     *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+     *    order of columns is the same as defined in the file or table, unless
+     *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
+     *  * For `jsonl`, the prediction instance format is determined by
+     *    each line of the input.
+     *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+     *    an object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the record.
+     *  * For `file-list`, each file in the list will be converted to an
+     *    object in the format of `{"b64": <value>}`, where `<value>` is
+     *    the Base64-encoded string of the content of the file.
+     * 

+     *
+     * string instance_type = 1;
+     *
+     * @return The bytes for instanceType.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getInstanceTypeBytes() {
+      java.lang.Object ref = instanceType_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        instanceType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int KEY_FIELD_FIELD_NUMBER = 2;
+    private volatile java.lang.Object keyField_;
+    /**
+     *
+     *
+     * 
+     * The name of the field that is considered as a key.
+     * The values identified by the key field is not included in the transformed
+     * instances that is sent to the Model. This is similar to
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
+     *  * For `jsonl` output format, the output will have a `key` field
+     *    instead of the `instance` field.
+     *  * For `csv`/`bigquery` output format, the output will have have a `key`
+     *    column instead of the instance feature columns.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * string key_field = 2;
+     *
+     * @return The keyField.
+     */
+    @java.lang.Override
+    public java.lang.String getKeyField() {
+      java.lang.Object ref = keyField_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        keyField_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * The name of the field that is considered as a key.
+     * The values identified by the key field is not included in the transformed
+     * instances that is sent to the Model. This is similar to
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
+     *  * For `jsonl` output format, the output will have a `key` field
+     *    instead of the `instance` field.
+     *  * For `csv`/`bigquery` output format, the output will have have a `key`
+     *    column instead of the instance feature columns.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * string key_field = 2;
+     *
+     * @return The bytes for keyField.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getKeyFieldBytes() {
+      java.lang.Object ref = keyField_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        keyField_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int INCLUDED_FIELDS_FIELD_NUMBER = 3;
+    private com.google.protobuf.LazyStringList includedFields_;
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @return A list containing the includedFields.
+     */
+    public com.google.protobuf.ProtocolStringList getIncludedFieldsList() {
+      return includedFields_;
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @return The count of includedFields.
+     */
+    public int getIncludedFieldsCount() {
+      return includedFields_.size();
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @param index The index of the element to return.
+     * @return The includedFields at the given index.
+     */
+    public java.lang.String getIncludedFields(int index) {
+      return includedFields_.get(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be included in the prediction instance that is
+     * sent to the Model.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string included_fields = 3;
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the includedFields at the given index.
+     */
+    public com.google.protobuf.ByteString getIncludedFieldsBytes(int index) {
+      return includedFields_.getByteString(index);
+    }
+
+    public static final int EXCLUDED_FIELDS_FIELD_NUMBER = 4;
+    private com.google.protobuf.LazyStringList excludedFields_;
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @return A list containing the excludedFields.
+     */
+    public com.google.protobuf.ProtocolStringList getExcludedFieldsList() {
+      return excludedFields_;
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @return The count of excludedFields.
+     */
+    public int getExcludedFieldsCount() {
+      return excludedFields_.size();
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @param index The index of the element to return.
+     * @return The excludedFields at the given index.
+     */
+    public java.lang.String getExcludedFields(int index) {
+      return excludedFields_.get(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Fields that will be excluded in the prediction instance that is
+     * sent to the Model.
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+     * is not specified.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
+     * The input must be JSONL with objects at each line, CSV, BigQuery
+     * or TfRecord.
+     * 

+     *
+     * repeated string excluded_fields = 4;
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the excludedFields at the given index.
+     */
+    public com.google.protobuf.ByteString getExcludedFieldsBytes(int index) {
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+    }
+
+    private byte memoizedIsInitialized = -1;
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+    @java.lang.Override
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+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+      getUnknownFields().writeTo(output);
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+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
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+      size = 0;
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+      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(keyField_)) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, keyField_);
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+      {
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+        size += 1 * getExcludedFieldsList().size();
+      }
+      size += getUnknownFields().getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig other =
+          (com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig) obj;
+
+      if (!getInstanceType().equals(other.getInstanceType())) return false;
+      if (!getKeyField().equals(other.getKeyField())) return false;
+      if (!getIncludedFieldsList().equals(other.getIncludedFieldsList())) return false;
+      if (!getExcludedFieldsList().equals(other.getExcludedFieldsList())) return false;
+      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + INSTANCE_TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + getInstanceType().hashCode();
+      hash = (37 * hash) + KEY_FIELD_FIELD_NUMBER;
+      hash = (53 * hash) + getKeyField().hashCode();
+      if (getIncludedFieldsCount() > 0) {
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+      }
+      hash = (29 * hash) + getUnknownFields().hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration defining how to transform batch prediction input instances to
+     * the instances that the Model accepts.
+     * 

+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.class,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.newBuilder()
+      private Builder() {}
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        instanceType_ = "";
+
+        keyField_ = "";
+
+        includedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000001);
+        excludedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000002);
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig build() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig buildPartial() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig result =
+            new com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig(this);
+        int from_bitField0_ = bitField0_;
+        result.instanceType_ = instanceType_;
+        result.keyField_ = keyField_;
+        if (((bitField0_ & 0x00000001) != 0)) {
+          includedFields_ = includedFields_.getUnmodifiableView();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.includedFields_ = includedFields_;
+        if (((bitField0_ & 0x00000002) != 0)) {
+          excludedFields_ = excludedFields_.getUnmodifiableView();
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.excludedFields_ = excludedFields_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+                .getDefaultInstance()) return this;
+        if (!other.getInstanceType().isEmpty()) {
+          instanceType_ = other.instanceType_;
+          onChanged();
+        }
+        if (!other.getKeyField().isEmpty()) {
+          keyField_ = other.keyField_;
+          onChanged();
+        }
+        if (!other.includedFields_.isEmpty()) {
+          if (includedFields_.isEmpty()) {
+            includedFields_ = other.includedFields_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureIncludedFieldsIsMutable();
+            includedFields_.addAll(other.includedFields_);
+          }
+          onChanged();
+        }
+        if (!other.excludedFields_.isEmpty()) {
+          if (excludedFields_.isEmpty()) {
+            excludedFields_ = other.excludedFields_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureExcludedFieldsIsMutable();
+            excludedFields_.addAll(other.excludedFields_);
+          }
+          onChanged();
+        }
+        this.mergeUnknownFields(other.getUnknownFields());
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  instanceType_ = input.readStringRequireUtf8();
+
+                  break;
+                } // case 10
+              case 18:
+                {
+                  keyField_ = input.readStringRequireUtf8();
+
+                  break;
+                } // case 18
+              case 26:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+                  ensureIncludedFieldsIsMutable();
+                  includedFields_.add(s);
+                  break;
+                } // case 26
+              case 34:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+                  ensureExcludedFieldsIsMutable();
+                  excludedFields_.add(s);
+                  break;
+                } // case 34
+              default:
+                {
+                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                    done = true; // was an endgroup tag
+                  }
+                  break;
+                } // default:
+            } // switch (tag)
+          } // while (!done)
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.unwrapIOException();
+        } finally {
+          onChanged();
+        } // finally
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.lang.Object instanceType_ = "";
+      /**
+       *
+       *
+       * 
+       * The format of the instance that the Model accepts. Vertex AI will
+       * convert compatible
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+       * to the specified format.
+       * Supported values are:
+       * * `object`: Each input is converted to JSON object format.
+       *     * For `bigquery`, each row is converted to an object.
+       *     * For `jsonl`, each line of the JSONL input must be an object.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * * `array`: Each input is converted to JSON array format.
+       *     * For `bigquery`, each row is converted to an array. The order
+       *       of columns is determined by the BigQuery column order, unless
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * For `jsonl`, if each line of the JSONL input is an object,
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * If not specified, Vertex AI converts the batch prediction input as
+       * follows:
+       *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+       *    order of columns is the same as defined in the file or table, unless
+       *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
+       *  * For `jsonl`, the prediction instance format is determined by
+       *    each line of the input.
+       *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+       *    an object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the record.
+       *  * For `file-list`, each file in the list will be converted to an
+       *    object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the file.
+       * 

+       *
+       * string instance_type = 1;
+       *
+       * @return The instanceType.
+       */
+      public java.lang.String getInstanceType() {
+        java.lang.Object ref = instanceType_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          instanceType_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The format of the instance that the Model accepts. Vertex AI will
+       * convert compatible
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+       * to the specified format.
+       * Supported values are:
+       * * `object`: Each input is converted to JSON object format.
+       *     * For `bigquery`, each row is converted to an object.
+       *     * For `jsonl`, each line of the JSONL input must be an object.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * * `array`: Each input is converted to JSON array format.
+       *     * For `bigquery`, each row is converted to an array. The order
+       *       of columns is determined by the BigQuery column order, unless
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * For `jsonl`, if each line of the JSONL input is an object,
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * If not specified, Vertex AI converts the batch prediction input as
+       * follows:
+       *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+       *    order of columns is the same as defined in the file or table, unless
+       *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
+       *  * For `jsonl`, the prediction instance format is determined by
+       *    each line of the input.
+       *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+       *    an object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the record.
+       *  * For `file-list`, each file in the list will be converted to an
+       *    object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the file.
+       * 

+       *
+       * string instance_type = 1;
+       *
+       * @return The bytes for instanceType.
+       */
+      public com.google.protobuf.ByteString getInstanceTypeBytes() {
+        java.lang.Object ref = instanceType_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          instanceType_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The format of the instance that the Model accepts. Vertex AI will
+       * convert compatible
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+       * to the specified format.
+       * Supported values are:
+       * * `object`: Each input is converted to JSON object format.
+       *     * For `bigquery`, each row is converted to an object.
+       *     * For `jsonl`, each line of the JSONL input must be an object.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * * `array`: Each input is converted to JSON array format.
+       *     * For `bigquery`, each row is converted to an array. The order
+       *       of columns is determined by the BigQuery column order, unless
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * For `jsonl`, if each line of the JSONL input is an object,
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * If not specified, Vertex AI converts the batch prediction input as
+       * follows:
+       *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+       *    order of columns is the same as defined in the file or table, unless
+       *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
+       *  * For `jsonl`, the prediction instance format is determined by
+       *    each line of the input.
+       *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+       *    an object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the record.
+       *  * For `file-list`, each file in the list will be converted to an
+       *    object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the file.
+       * 

+       *
+       * string instance_type = 1;
+       *
+       * @param value The instanceType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setInstanceType(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        instanceType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The format of the instance that the Model accepts. Vertex AI will
+       * convert compatible
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+       * to the specified format.
+       * Supported values are:
+       * * `object`: Each input is converted to JSON object format.
+       *     * For `bigquery`, each row is converted to an object.
+       *     * For `jsonl`, each line of the JSONL input must be an object.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * * `array`: Each input is converted to JSON array format.
+       *     * For `bigquery`, each row is converted to an array. The order
+       *       of columns is determined by the BigQuery column order, unless
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * For `jsonl`, if each line of the JSONL input is an object,
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * If not specified, Vertex AI converts the batch prediction input as
+       * follows:
+       *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+       *    order of columns is the same as defined in the file or table, unless
+       *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
+       *  * For `jsonl`, the prediction instance format is determined by
+       *    each line of the input.
+       *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+       *    an object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the record.
+       *  * For `file-list`, each file in the list will be converted to an
+       *    object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the file.
+       * 

+       *
+       * string instance_type = 1;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearInstanceType() {
+
+        instanceType_ = getDefaultInstance().getInstanceType();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The format of the instance that the Model accepts. Vertex AI will
+       * convert compatible
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+       * to the specified format.
+       * Supported values are:
+       * * `object`: Each input is converted to JSON object format.
+       *     * For `bigquery`, each row is converted to an object.
+       *     * For `jsonl`, each line of the JSONL input must be an object.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * * `array`: Each input is converted to JSON array format.
+       *     * For `bigquery`, each row is converted to an array. The order
+       *       of columns is determined by the BigQuery column order, unless
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * For `jsonl`, if each line of the JSONL input is an object,
+       *       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
+       *     * Does not apply to `csv`, `file-list`, `tf-record`, or
+       *       `tf-record-gzip`.
+       * If not specified, Vertex AI converts the batch prediction input as
+       * follows:
+       *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+       *    order of columns is the same as defined in the file or table, unless
+       *    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
+       *  * For `jsonl`, the prediction instance format is determined by
+       *    each line of the input.
+       *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+       *    an object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the record.
+       *  * For `file-list`, each file in the list will be converted to an
+       *    object in the format of `{"b64": <value>}`, where `<value>` is
+       *    the Base64-encoded string of the content of the file.
+       * 

+       *
+       * string instance_type = 1;
+       *
+       * @param value The bytes for instanceType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setInstanceTypeBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        instanceType_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object keyField_ = "";
+      /**
+       *
+       *
+       * 
+       * The name of the field that is considered as a key.
+       * The values identified by the key field is not included in the transformed
+       * instances that is sent to the Model. This is similar to
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
+       *  * For `jsonl` output format, the output will have a `key` field
+       *    instead of the `instance` field.
+       *  * For `csv`/`bigquery` output format, the output will have have a `key`
+       *    column instead of the instance feature columns.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * string key_field = 2;
+       *
+       * @return The keyField.
+       */
+      public java.lang.String getKeyField() {
+        java.lang.Object ref = keyField_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          keyField_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The name of the field that is considered as a key.
+       * The values identified by the key field is not included in the transformed
+       * instances that is sent to the Model. This is similar to
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
+       *  * For `jsonl` output format, the output will have a `key` field
+       *    instead of the `instance` field.
+       *  * For `csv`/`bigquery` output format, the output will have have a `key`
+       *    column instead of the instance feature columns.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * string key_field = 2;
+       *
+       * @return The bytes for keyField.
+       */
+      public com.google.protobuf.ByteString getKeyFieldBytes() {
+        java.lang.Object ref = keyField_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          keyField_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * The name of the field that is considered as a key.
+       * The values identified by the key field is not included in the transformed
+       * instances that is sent to the Model. This is similar to
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
+       *  * For `jsonl` output format, the output will have a `key` field
+       *    instead of the `instance` field.
+       *  * For `csv`/`bigquery` output format, the output will have have a `key`
+       *    column instead of the instance feature columns.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * string key_field = 2;
+       *
+       * @param value The keyField to set.
+       * @return This builder for chaining.
+       */
+      public Builder setKeyField(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        keyField_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The name of the field that is considered as a key.
+       * The values identified by the key field is not included in the transformed
+       * instances that is sent to the Model. This is similar to
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
+       *  * For `jsonl` output format, the output will have a `key` field
+       *    instead of the `instance` field.
+       *  * For `csv`/`bigquery` output format, the output will have have a `key`
+       *    column instead of the instance feature columns.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * string key_field = 2;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearKeyField() {
+
+        keyField_ = getDefaultInstance().getKeyField();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * The name of the field that is considered as a key.
+       * The values identified by the key field is not included in the transformed
+       * instances that is sent to the Model. This is similar to
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
+       *  * For `jsonl` output format, the output will have a `key` field
+       *    instead of the `instance` field.
+       *  * For `csv`/`bigquery` output format, the output will have have a `key`
+       *    column instead of the instance feature columns.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * string key_field = 2;
+       *
+       * @param value The bytes for keyField to set.
+       * @return This builder for chaining.
+       */
+      public Builder setKeyFieldBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        keyField_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.LazyStringList includedFields_ =
+          com.google.protobuf.LazyStringArrayList.EMPTY;
+
+      private void ensureIncludedFieldsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          includedFields_ = new com.google.protobuf.LazyStringArrayList(includedFields_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @return A list containing the includedFields.
+       */
+      public com.google.protobuf.ProtocolStringList getIncludedFieldsList() {
+        return includedFields_.getUnmodifiableView();
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @return The count of includedFields.
+       */
+      public int getIncludedFieldsCount() {
+        return includedFields_.size();
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param index The index of the element to return.
+       * @return The includedFields at the given index.
+       */
+      public java.lang.String getIncludedFields(int index) {
+        return includedFields_.get(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param index The index of the value to return.
+       * @return The bytes of the includedFields at the given index.
+       */
+      public com.google.protobuf.ByteString getIncludedFieldsBytes(int index) {
+        return includedFields_.getByteString(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param index The index to set the value at.
+       * @param value The includedFields to set.
+       * @return This builder for chaining.
+       */
+      public Builder setIncludedFields(int index, java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureIncludedFieldsIsMutable();
+        includedFields_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param value The includedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addIncludedFields(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureIncludedFieldsIsMutable();
+        includedFields_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param values The includedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addAllIncludedFields(java.lang.Iterable values) {
+        ensureIncludedFieldsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, includedFields_);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearIncludedFields() {
+        includedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be included in the prediction instance that is
+       * sent to the Model.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string included_fields = 3;
+       *
+       * @param value The bytes of the includedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addIncludedFieldsBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        ensureIncludedFieldsIsMutable();
+        includedFields_.add(value);
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.LazyStringList excludedFields_ =
+          com.google.protobuf.LazyStringArrayList.EMPTY;
+
+      private void ensureExcludedFieldsIsMutable() {
+        if (!((bitField0_ & 0x00000002) != 0)) {
+          excludedFields_ = new com.google.protobuf.LazyStringArrayList(excludedFields_);
+          bitField0_ |= 0x00000002;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @return A list containing the excludedFields.
+       */
+      public com.google.protobuf.ProtocolStringList getExcludedFieldsList() {
+        return excludedFields_.getUnmodifiableView();
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @return The count of excludedFields.
+       */
+      public int getExcludedFieldsCount() {
+        return excludedFields_.size();
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param index The index of the element to return.
+       * @return The excludedFields at the given index.
+       */
+      public java.lang.String getExcludedFields(int index) {
+        return excludedFields_.get(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param index The index of the value to return.
+       * @return The bytes of the excludedFields at the given index.
+       */
+      public com.google.protobuf.ByteString getExcludedFieldsBytes(int index) {
+        return excludedFields_.getByteString(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param index The index to set the value at.
+       * @param value The excludedFields to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExcludedFields(int index, java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExcludedFieldsIsMutable();
+        excludedFields_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param value The excludedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addExcludedFields(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExcludedFieldsIsMutable();
+        excludedFields_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param values The excludedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addAllExcludedFields(java.lang.Iterable values) {
+        ensureExcludedFieldsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, excludedFields_);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearExcludedFields() {
+        excludedFields_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Fields that will be excluded in the prediction instance that is
+       * sent to the Model.
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+       * is not specified.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
+       * The input must be JSONL with objects at each line, CSV, BigQuery
+       * or TfRecord.
+       * 

+       *
+       * repeated string excluded_fields = 4;
+       *
+       * @param value The bytes of the excludedFields to add.
+       * @return This builder for chaining.
+       */
+      public Builder addExcludedFieldsBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        ensureExcludedFieldsIsMutable();
+        excludedFields_.add(value);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig)
+    private static final com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public InstanceConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            Builder builder = newBuilder();
+            try {
+              builder.mergeFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              throw e.setUnfinishedMessage(builder.buildPartial());
+            } catch (com.google.protobuf.UninitializedMessageException e) {
+              throw e.asInvalidProtocolBufferException()
+                  .setUnfinishedMessage(builder.buildPartial());
+            } catch (java.io.IOException e) {
+              throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                  .setUnfinishedMessage(builder.buildPartial());
+            }
+            return builder.buildPartial();
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
   public interface OutputConfigOrBuilder
       extends
       // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
@@ -1570,11 +3833,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1601,11 +3866,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1632,11 +3899,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1663,13 +3932,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -1692,13 +3963,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -1721,13 +3994,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -1741,8 +4016,8 @@ public interface OutputConfigOrBuilder
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
-     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -1755,8 +4030,8 @@ public interface OutputConfigOrBuilder
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
-     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -1773,9 +4048,11 @@ public interface OutputConfigOrBuilder
    *
    *
    * 
-   * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-   * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
-   * formats, and how predictions are expressed via any of them.
+   * Configures the output of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+   * [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats]
+   * for supported output formats, and how predictions are expressed via any of
+   * them.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig}
@@ -1879,11 +4156,13 @@ public DestinationCase getDestinationCase() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1913,11 +4192,13 @@ public boolean hasGcsDestination() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1950,11 +4231,13 @@ public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -1988,13 +4271,15 @@ public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationO
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -2020,13 +4305,15 @@ public boolean hasBigqueryDestination() {
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -2055,13 +4342,15 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -2084,8 +4373,8 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
-     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -2109,8 +4398,8 @@ public java.lang.String getPredictionsFormat() {
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
-     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -2335,9 +4624,11 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-     * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
-     * formats, and how predictions are expressed via any of them.
+     * Configures the output of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+     * [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats]
+     * for supported output formats, and how predictions are expressed via any of
+     * them.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig}
@@ -2593,11 +4884,13 @@ public Builder clearDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2627,11 +4920,13 @@ public boolean hasGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2671,11 +4966,13 @@ public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2712,11 +5009,13 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination v
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2751,11 +5050,13 @@ public Builder setGcsDestination(
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2803,11 +5104,13 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2847,11 +5150,13 @@ public Builder clearGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2878,11 +5183,13 @@ public com.google.cloud.aiplatform.v1.GcsDestination.Builder getGcsDestinationBu
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2917,11 +5224,13 @@ public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationO
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -2976,13 +5285,15 @@ public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationO
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3008,13 +5319,15 @@ public boolean hasBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3050,13 +5363,15 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3090,13 +5405,15 @@ public Builder setBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3127,13 +5444,15 @@ public Builder setBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3178,13 +5497,15 @@ public Builder mergeBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3220,13 +5541,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3250,13 +5573,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3288,13 +5613,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -3332,8 +5659,8 @@ public Builder clearBigqueryDestination() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
-       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
        * 

        *
@@ -3356,8 +5683,8 @@ public java.lang.String getPredictionsFormat() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
-       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
        * 

        *
@@ -3380,8 +5707,8 @@ public com.google.protobuf.ByteString getPredictionsFormatBytes() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
-       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
        * 

        *
@@ -3403,8 +5730,8 @@ public Builder setPredictionsFormat(java.lang.String value) {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
-       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
        * 

        *
@@ -3422,8 +5749,8 @@ public Builder clearPredictionsFormat() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
-       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
        * 

        *
@@ -3519,8 +5846,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3532,8 +5859,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3545,8 +5872,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3637,7 +5964,8 @@ public interface OutputInfoOrBuilder
    *
    * 
    * Further describes this job's output.
-   * Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * Supplements
+   * [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo}
@@ -3734,8 +6062,8 @@ public OutputLocationCase getOutputLocationCase() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3749,8 +6077,8 @@ public boolean hasGcsOutputDirectory() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3777,8 +6105,8 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4134,7 +6462,8 @@ protected Builder newBuilderForType(
      *
      * 
      * Further describes this job's output.
-     * Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * Supplements
+     * [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo}
@@ -4367,8 +6696,8 @@ public Builder clearOutputLocation() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4383,8 +6712,8 @@ public boolean hasGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4412,8 +6741,8 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4441,8 +6770,8 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4463,8 +6792,8 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4483,8 +6812,8 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5008,7 +7337,8 @@ public com.google.protobuf.ByteString getModelBytes() {
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5031,7 +7361,8 @@ public java.lang.String getModelVersionId() {
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5115,9 +7446,9 @@ public com.google.cloud.aiplatform.v1.UnmanagedContainerModel getUnmanagedContai
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -5136,9 +7467,9 @@ public boolean hasInputConfig() {
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -5159,9 +7490,9 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputCon
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -5176,6 +7507,61 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputCon
     return getInputConfig();
   }
 
+  public static final int INSTANCE_CONFIG_FIELD_NUMBER = 27;
+  private com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instanceConfig_;
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   *
+   * @return Whether the instanceConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasInstanceConfig() {
+    return instanceConfig_ != null;
+  }
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   *
+   * @return The instanceConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig getInstanceConfig() {
+    return instanceConfig_ == null
+        ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.getDefaultInstance()
+        : instanceConfig_;
+  }
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder
+      getInstanceConfigOrBuilder() {
+    return getInstanceConfig();
+  }
+
   public static final int MODEL_PARAMETERS_FIELD_NUMBER = 5;
   private com.google.protobuf.Value modelParameters_;
   /**
@@ -5183,7 +7569,8 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputCon
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -5201,7 +7588,8 @@ public boolean hasModelParameters() {
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -5221,7 +7609,8 @@ public com.google.protobuf.Value getModelParameters() {
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -5316,7 +7705,8 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig getOutputC
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -5335,7 +7725,8 @@ public boolean hasDedicatedResources() {
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -5356,7 +7747,8 @@ public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDedicatedResour
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -5435,9 +7827,10 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -5454,9 +7847,10 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -5476,9 +7870,10 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -5500,15 +7895,21 @@ public boolean hasManualBatchTuningParameters() {
    * Generate explanation with the batch prediction results.
    * When set to `true`, the batch prediction output changes based on the
    * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+   * object:
    *  * `bigquery`: output includes a column named `explanation`. The value
-   *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+   *    is a struct that conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
    *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
-   *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+   *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+   *    object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+   * If this field is set to true, either the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * must be populated.
    * 

    *
    * bool generate_explanation = 23;
@@ -5527,11 +7928,18 @@ public boolean getGenerateExplanation() {
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -5547,11 +7955,18 @@ public boolean hasExplanationSpec() {
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -5569,11 +7984,18 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -5827,8 +8249,8 @@ public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -5848,8 +8270,8 @@ public boolean hasResourcesConsumed() {
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -5871,8 +8293,8 @@ public com.google.cloud.aiplatform.v1.ResourcesConsumed getResourcesConsumed() {
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -5996,8 +8418,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6013,8 +8435,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6030,8 +8452,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6048,8 +8470,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6065,8 +8487,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6082,8 +8504,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6390,6 +8812,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (explanationSpec_ != null) {
       output.writeMessage(25, getExplanationSpec());
     }
+    if (instanceConfig_ != null) {
+      output.writeMessage(27, getInstanceConfig());
+    }
     if (unmanagedContainerModel_ != null) {
       output.writeMessage(28, getUnmanagedContainerModel());
     }
@@ -6483,6 +8908,9 @@ public int getSerializedSize() {
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(25, getExplanationSpec());
     }
+    if (instanceConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(27, getInstanceConfig());
+    }
     if (unmanagedContainerModel_ != null) {
       size +=
           com.google.protobuf.CodedOutputStream.computeMessageSize(
@@ -6522,6 +8950,10 @@ public boolean equals(final java.lang.Object obj) {
     if (hasInputConfig()) {
       if (!getInputConfig().equals(other.getInputConfig())) return false;
     }
+    if (hasInstanceConfig() != other.hasInstanceConfig()) return false;
+    if (hasInstanceConfig()) {
+      if (!getInstanceConfig().equals(other.getInstanceConfig())) return false;
+    }
     if (hasModelParameters() != other.hasModelParameters()) return false;
     if (hasModelParameters()) {
       if (!getModelParameters().equals(other.getModelParameters())) return false;
@@ -6611,6 +9043,10 @@ public int hashCode() {
       hash = (37 * hash) + INPUT_CONFIG_FIELD_NUMBER;
       hash = (53 * hash) + getInputConfig().hashCode();
     }
+    if (hasInstanceConfig()) {
+      hash = (37 * hash) + INSTANCE_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getInstanceConfig().hashCode();
+    }
     if (hasModelParameters()) {
       hash = (37 * hash) + MODEL_PARAMETERS_FIELD_NUMBER;
       hash = (53 * hash) + getModelParameters().hashCode();
@@ -6785,8 +9221,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
-   * on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * A job that uses a
+   * [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
+   * predictions on multiple [input
+   * instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
    * predictions for significant portion of the instances fail, the job may finish
    * without attempting predictions for all remaining instances.
    * 

@@ -6862,6 +9300,12 @@ public Builder clear() {
         inputConfig_ = null;
         inputConfigBuilder_ = null;
       }
+      if (instanceConfigBuilder_ == null) {
+        instanceConfig_ = null;
+      } else {
+        instanceConfig_ = null;
+        instanceConfigBuilder_ = null;
+      }
       if (modelParametersBuilder_ == null) {
         modelParameters_ = null;
       } else {
@@ -7002,6 +9446,11 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob buildPartial() {
       } else {
         result.inputConfig_ = inputConfigBuilder_.build();
       }
+      if (instanceConfigBuilder_ == null) {
+        result.instanceConfig_ = instanceConfig_;
+      } else {
+        result.instanceConfig_ = instanceConfigBuilder_.build();
+      }
       if (modelParametersBuilder_ == null) {
         result.modelParameters_ = modelParameters_;
       } else {
@@ -7158,6 +9607,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchPredictionJob other
       if (other.hasInputConfig()) {
         mergeInputConfig(other.getInputConfig());
       }
+      if (other.hasInstanceConfig()) {
+        mergeInstanceConfig(other.getInstanceConfig());
+      }
       if (other.hasModelParameters()) {
         mergeModelParameters(other.getModelParameters());
       }
@@ -7410,6 +9862,12 @@ public Builder mergeFrom(
 
                 break;
               } // case 202
+            case 218:
+              {
+                input.readMessage(getInstanceConfigFieldBuilder().getBuilder(), extensionRegistry);
+
+                break;
+              } // case 218
             case 226:
               {
                 input.readMessage(
@@ -7801,7 +10259,8 @@ public Builder setModelBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7823,7 +10282,8 @@ public java.lang.String getModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7845,7 +10305,8 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7866,7 +10327,8 @@ public Builder setModelVersionId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7883,7 +10345,8 @@ public Builder clearModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8130,9 +10593,9 @@ public Builder clearUnmanagedContainerModel() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8150,9 +10613,9 @@ public boolean hasInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8176,9 +10639,9 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputCon
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8205,9 +10668,9 @@ public Builder setInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8231,9 +10694,9 @@ public Builder setInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8264,9 +10727,9 @@ public Builder mergeInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8290,9 +10753,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8311,9 +10774,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8336,9 +10799,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -8364,6 +10827,215 @@ public Builder clearInputConfig() {
       return inputConfigBuilder_;
     }
 
+    private com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instanceConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder>
+        instanceConfigBuilder_;
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     *
+     * @return Whether the instanceConfig field is set.
+     */
+    public boolean hasInstanceConfig() {
+      return instanceConfigBuilder_ != null || instanceConfig_ != null;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     *
+     * @return The instanceConfig.
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig getInstanceConfig() {
+      if (instanceConfigBuilder_ == null) {
+        return instanceConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.getDefaultInstance()
+            : instanceConfig_;
+      } else {
+        return instanceConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public Builder setInstanceConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig value) {
+      if (instanceConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        instanceConfig_ = value;
+        onChanged();
+      } else {
+        instanceConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public Builder setInstanceConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder builderForValue) {
+      if (instanceConfigBuilder_ == null) {
+        instanceConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        instanceConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public Builder mergeInstanceConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig value) {
+      if (instanceConfigBuilder_ == null) {
+        if (instanceConfig_ != null) {
+          instanceConfig_ =
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.newBuilder(
+                      instanceConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          instanceConfig_ = value;
+        }
+        onChanged();
+      } else {
+        instanceConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public Builder clearInstanceConfig() {
+      if (instanceConfigBuilder_ == null) {
+        instanceConfig_ = null;
+        onChanged();
+      } else {
+        instanceConfig_ = null;
+        instanceConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder
+        getInstanceConfigBuilder() {
+
+      onChanged();
+      return getInstanceConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder
+        getInstanceConfigOrBuilder() {
+      if (instanceConfigBuilder_ != null) {
+        return instanceConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return instanceConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.getDefaultInstance()
+            : instanceConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Configuration for how to convert batch prediction input instances to the
+     * prediction instances that are sent to the Model.
+     * 

+     *
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+     * 
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder>
+        getInstanceConfigFieldBuilder() {
+      if (instanceConfigBuilder_ == null) {
+        instanceConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder>(
+                getInstanceConfig(), getParentForChildren(), isClean());
+        instanceConfig_ = null;
+      }
+      return instanceConfigBuilder_;
+    }
+
     private com.google.protobuf.Value modelParameters_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.protobuf.Value,
@@ -8375,7 +11047,8 @@ public Builder clearInputConfig() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8392,7 +11065,8 @@ public boolean hasModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8415,7 +11089,8 @@ public com.google.protobuf.Value getModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8440,7 +11115,8 @@ public Builder setModelParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8462,7 +11138,8 @@ public Builder setModelParameters(com.google.protobuf.Value.Builder builderForVa
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8491,7 +11168,8 @@ public Builder mergeModelParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8514,7 +11192,8 @@ public Builder clearModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8531,7 +11210,8 @@ public com.google.protobuf.Value.Builder getModelParametersBuilder() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8552,7 +11232,8 @@ public com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -8859,7 +11540,8 @@ public Builder clearOutputConfig() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -8877,7 +11559,8 @@ public boolean hasDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -8901,7 +11584,8 @@ public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDedicatedResour
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -8928,7 +11612,8 @@ public Builder setDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -8952,7 +11637,8 @@ public Builder setDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -8983,7 +11669,8 @@ public Builder mergeDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -9007,7 +11694,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -9026,7 +11714,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -9049,7 +11738,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -9215,9 +11905,10 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9233,9 +11924,10 @@ public boolean hasManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9258,9 +11950,10 @@ public boolean hasManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9285,9 +11978,10 @@ public Builder setManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9309,9 +12003,10 @@ public Builder setManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9341,9 +12036,10 @@ public Builder mergeManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9365,9 +12061,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9384,9 +12081,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9407,9 +12105,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -9441,15 +12140,21 @@ public Builder clearManualBatchTuningParameters() {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+     *    object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -9467,15 +12172,21 @@ public boolean getGenerateExplanation() {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+     *    object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -9496,15 +12207,21 @@ public Builder setGenerateExplanation(boolean value) {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+     *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+     *    object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -9529,11 +12246,18 @@ public Builder clearGenerateExplanation() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9548,11 +12272,18 @@ public boolean hasExplanationSpec() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9573,11 +12304,18 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9600,11 +12338,18 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSpec
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9625,11 +12370,18 @@ public Builder setExplanationSpec(
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9656,11 +12408,18 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSp
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9681,11 +12440,18 @@ public Builder clearExplanationSpec() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9700,11 +12466,18 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec.Builder getExplanationSpec
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -9723,11 +12496,18 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOrBuilder getExplanationSpe
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -10685,8 +13465,8 @@ public java.util.List getPartialFailuresBuilderLi
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10705,8 +13485,8 @@ public boolean hasResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10731,8 +13511,8 @@ public com.google.cloud.aiplatform.v1.ResourcesConsumed getResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10759,8 +13539,8 @@ public Builder setResourcesConsumed(com.google.cloud.aiplatform.v1.ResourcesCons
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10785,8 +13565,8 @@ public Builder setResourcesConsumed(
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10817,8 +13597,8 @@ public Builder mergeResourcesConsumed(com.google.cloud.aiplatform.v1.ResourcesCo
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10843,8 +13623,8 @@ public Builder clearResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10863,8 +13643,8 @@ public com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder getResourcesCons
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -10888,8 +13668,8 @@ public com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder getResourcesCons
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -11331,8 +14111,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11348,8 +14128,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11369,8 +14149,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11394,8 +14174,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11416,8 +14196,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11443,8 +14223,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11466,8 +14246,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11483,8 +14263,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11502,8 +14282,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -11537,8 +14317,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11553,8 +14333,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11573,8 +14353,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11597,8 +14377,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11618,8 +14398,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11644,8 +14424,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11666,8 +14446,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11682,8 +14462,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -11700,8 +14480,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java
index 31f6556b3ef7..f2bd70674758 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java
@@ -114,7 +114,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -126,7 +127,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -184,9 +186,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -202,9 +204,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -220,9 +222,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
    * 

@@ -233,12 +235,55 @@ public interface BatchPredictionJobOrBuilder
    */
   com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder();
 
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   *
+   * @return Whether the instanceConfig field is set.
+   */
+  boolean hasInstanceConfig();
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   *
+   * @return The instanceConfig.
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig getInstanceConfig();
+  /**
+   *
+   *
+   * 
+   * Configuration for how to convert batch prediction input instances to the
+   * prediction instances that are sent to the Model.
+   * 

+   *
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
+   * 
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfigOrBuilder
+      getInstanceConfigOrBuilder();
+
   /**
    *
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -253,7 +298,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -268,7 +314,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -345,7 +392,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -361,7 +409,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -377,7 +426,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -426,9 +476,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -442,9 +493,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -458,9 +510,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -477,15 +530,21 @@ public interface BatchPredictionJobOrBuilder
    * Generate explanation with the batch prediction results.
    * When set to `true`, the batch prediction output changes based on the
    * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+   * object:
    *  * `bigquery`: output includes a column named `explanation`. The value
-   *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+   *    is a struct that conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
    *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
-   *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+   *    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+   *    object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+   * If this field is set to true, either the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * must be populated.
    * 

    *
    * bool generate_explanation = 23;
@@ -499,11 +558,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -516,11 +582,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -533,11 +606,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
@@ -732,8 +812,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -750,8 +830,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -768,8 +848,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -864,8 +944,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -878,8 +958,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -892,8 +972,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -905,8 +985,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -919,8 +999,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -933,8 +1013,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java
index 7dce9b50bda2..04fe865af221 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java
@@ -35,6 +35,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -71,7 +75,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rs.proto\032:google/cloud/aiplatform/v1/unm"
           + "anaged_container_model.proto\032\034google/pro"
           + "tobuf/struct.proto\032\037google/protobuf/time"
-          + "stamp.proto\032\027google/rpc/status.proto\"\322\021\n"
+          + "stamp.proto\032\027google/rpc/status.proto\"\230\023\n"
           + "\022BatchPredictionJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031"
           + "\n\014display_name\030\002 \001(\tB\003\340A\002\0223\n\005model\030\003 \001(\t"
           + "B$\372A!\n\037aiplatform.googleapis.com/Model\022\035"
@@ -80,61 +84,66 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "aiplatform.v1.UnmanagedContainerModel\022U\n"
           + "\014input_config\030\004 \001(\0132:.google.cloud.aipla"
           + "tform.v1.BatchPredictionJob.InputConfigB"
-          + "\003\340A\002\0220\n\020model_parameters\030\005 \001(\0132\026.google."
-          + "protobuf.Value\022W\n\routput_config\030\006 \001(\0132;."
-          + "google.cloud.aiplatform.v1.BatchPredicti"
-          + "onJob.OutputConfigB\003\340A\002\022P\n\023dedicated_res"
-          + "ources\030\007 \001(\01323.google.cloud.aiplatform.v"
-          + "1.BatchDedicatedResources\022\027\n\017service_acc"
-          + "ount\030\035 \001(\t\022d\n\036manual_batch_tuning_parame"
-          + "ters\030\010 \001(\01327.google.cloud.aiplatform.v1."
-          + "ManualBatchTuningParametersB\003\340A\005\022\034\n\024gene"
-          + "rate_explanation\030\027 \001(\010\022E\n\020explanation_sp"
-          + "ec\030\031 \001(\0132+.google.cloud.aiplatform.v1.Ex"
-          + "planationSpec\022S\n\013output_info\030\t \001(\01329.goo"
-          + "gle.cloud.aiplatform.v1.BatchPredictionJ"
-          + "ob.OutputInfoB\003\340A\003\0228\n\005state\030\n \001(\0162$.goog"
-          + "le.cloud.aiplatform.v1.JobStateB\003\340A\003\022&\n\005"
-          + "error\030\013 \001(\0132\022.google.rpc.StatusB\003\340A\003\0221\n\020"
-          + "partial_failures\030\014 \003(\0132\022.google.rpc.Stat"
-          + "usB\003\340A\003\022N\n\022resources_consumed\030\r \001(\0132-.go"
-          + "ogle.cloud.aiplatform.v1.ResourcesConsum"
-          + "edB\003\340A\003\022J\n\020completion_stats\030\016 \001(\0132+.goog"
-          + "le.cloud.aiplatform.v1.CompletionStatsB\003"
-          + "\340A\003\0224\n\013create_time\030\017 \001(\0132\032.google.protob"
-          + "uf.TimestampB\003\340A\003\0223\n\nstart_time\030\020 \001(\0132\032."
-          + "google.protobuf.TimestampB\003\340A\003\0221\n\010end_ti"
-          + "me\030\021 \001(\0132\032.google.protobuf.TimestampB\003\340A"
-          + "\003\0224\n\013update_time\030\022 \001(\0132\032.google.protobuf"
-          + ".TimestampB\003\340A\003\022J\n\006labels\030\023 \003(\0132:.google"
-          + ".cloud.aiplatform.v1.BatchPredictionJob."
-          + "LabelsEntry\022C\n\017encryption_spec\030\030 \001(\0132*.g"
-          + "oogle.cloud.aiplatform.v1.EncryptionSpec"
-          + "\032\272\001\n\013InputConfig\022;\n\ngcs_source\030\002 \001(\0132%.g"
-          + "oogle.cloud.aiplatform.v1.GcsSourceH\000\022E\n"
-          + "\017bigquery_source\030\003 \001(\0132*.google.cloud.ai"
-          + "platform.v1.BigQuerySourceH\000\022\035\n\020instance"
-          + "s_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032\326\001\n\014Output"
-          + "Config\022E\n\017gcs_destination\030\002 \001(\0132*.google"
-          + ".cloud.aiplatform.v1.GcsDestinationH\000\022O\n"
-          + "\024bigquery_destination\030\003 \001(\0132/.google.clo"
-          + "ud.aiplatform.v1.BigQueryDestinationH\000\022\037"
-          + "\n\022predictions_format\030\001 \001(\tB\003\340A\002B\r\n\013desti"
-          + "nation\032\220\001\n\nOutputInfo\022#\n\024gcs_output_dire"
-          + "ctory\030\001 \001(\tB\003\340A\003H\000\022&\n\027bigquery_output_da"
-          + "taset\030\002 \001(\tB\003\340A\003H\000\022\"\n\025bigquery_output_ta"
-          + "ble\030\004 \001(\tB\003\340A\003B\021\n\017output_location\032-\n\013Lab"
-          + "elsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001"
-          + ":\206\001\352A\202\001\n,aiplatform.googleapis.com/Batch"
-          + "PredictionJob\022Rprojects/{project}/locati"
-          + "ons/{location}/batchPredictionJobs/{batc"
-          + "h_prediction_job}B\333\001\n\036com.google.cloud.a"
-          + "iplatform.v1B\027BatchPredictionJobProtoP\001Z"
-          + "Dgoogle.golang.org/genproto/googleapis/c"
-          + "loud/aiplatform/v1;aiplatform\252\002\032Google.C"
-          + "loud.AIPlatform.V1\312\002\032Google\\Cloud\\AIPlat"
-          + "form\\V1\352\002\035Google::Cloud::AIPlatform::V1b"
-          + "\006proto3"
+          + "\003\340A\002\022V\n\017instance_config\030\033 \001(\0132=.google.c"
+          + "loud.aiplatform.v1.BatchPredictionJob.In"
+          + "stanceConfig\0220\n\020model_parameters\030\005 \001(\0132\026"
+          + ".google.protobuf.Value\022W\n\routput_config\030"
+          + "\006 \001(\0132;.google.cloud.aiplatform.v1.Batch"
+          + "PredictionJob.OutputConfigB\003\340A\002\022P\n\023dedic"
+          + "ated_resources\030\007 \001(\01323.google.cloud.aipl"
+          + "atform.v1.BatchDedicatedResources\022\027\n\017ser"
+          + "vice_account\030\035 \001(\t\022d\n\036manual_batch_tunin"
+          + "g_parameters\030\010 \001(\01327.google.cloud.aiplat"
+          + "form.v1.ManualBatchTuningParametersB\003\340A\005"
+          + "\022\034\n\024generate_explanation\030\027 \001(\010\022E\n\020explan"
+          + "ation_spec\030\031 \001(\0132+.google.cloud.aiplatfo"
+          + "rm.v1.ExplanationSpec\022S\n\013output_info\030\t \001"
+          + "(\01329.google.cloud.aiplatform.v1.BatchPre"
+          + "dictionJob.OutputInfoB\003\340A\003\0228\n\005state\030\n \001("
+          + "\0162$.google.cloud.aiplatform.v1.JobStateB"
+          + "\003\340A\003\022&\n\005error\030\013 \001(\0132\022.google.rpc.StatusB"
+          + "\003\340A\003\0221\n\020partial_failures\030\014 \003(\0132\022.google."
+          + "rpc.StatusB\003\340A\003\022N\n\022resources_consumed\030\r "
+          + "\001(\0132-.google.cloud.aiplatform.v1.Resourc"
+          + "esConsumedB\003\340A\003\022J\n\020completion_stats\030\016 \001("
+          + "\0132+.google.cloud.aiplatform.v1.Completio"
+          + "nStatsB\003\340A\003\0224\n\013create_time\030\017 \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0223\n\nstart_time\030"
+          + "\020 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\0221"
+          + "\n\010end_time\030\021 \001(\0132\032.google.protobuf.Times"
+          + "tampB\003\340A\003\0224\n\013update_time\030\022 \001(\0132\032.google."
+          + "protobuf.TimestampB\003\340A\003\022J\n\006labels\030\023 \003(\0132"
+          + ":.google.cloud.aiplatform.v1.BatchPredic"
+          + "tionJob.LabelsEntry\022C\n\017encryption_spec\030\030"
+          + " \001(\0132*.google.cloud.aiplatform.v1.Encryp"
+          + "tionSpec\032\272\001\n\013InputConfig\022;\n\ngcs_source\030\002"
+          + " \001(\0132%.google.cloud.aiplatform.v1.GcsSou"
+          + "rceH\000\022E\n\017bigquery_source\030\003 \001(\0132*.google."
+          + "cloud.aiplatform.v1.BigQuerySourceH\000\022\035\n\020"
+          + "instances_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032l\n"
+          + "\016InstanceConfig\022\025\n\rinstance_type\030\001 \001(\t\022\021"
+          + "\n\tkey_field\030\002 \001(\t\022\027\n\017included_fields\030\003 \003"
+          + "(\t\022\027\n\017excluded_fields\030\004 \003(\t\032\326\001\n\014OutputCo"
+          + "nfig\022E\n\017gcs_destination\030\002 \001(\0132*.google.c"
+          + "loud.aiplatform.v1.GcsDestinationH\000\022O\n\024b"
+          + "igquery_destination\030\003 \001(\0132/.google.cloud"
+          + ".aiplatform.v1.BigQueryDestinationH\000\022\037\n\022"
+          + "predictions_format\030\001 \001(\tB\003\340A\002B\r\n\013destina"
+          + "tion\032\220\001\n\nOutputInfo\022#\n\024gcs_output_direct"
+          + "ory\030\001 \001(\tB\003\340A\003H\000\022&\n\027bigquery_output_data"
+          + "set\030\002 \001(\tB\003\340A\003H\000\022\"\n\025bigquery_output_tabl"
+          + "e\030\004 \001(\tB\003\340A\003B\021\n\017output_location\032-\n\013Label"
+          + "sEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206"
+          + "\001\352A\202\001\n,aiplatform.googleapis.com/BatchPr"
+          + "edictionJob\022Rprojects/{project}/location"
+          + "s/{location}/batchPredictionJobs/{batch_"
+          + "prediction_job}B\333\001\n\036com.google.cloud.aip"
+          + "latform.v1B\027BatchPredictionJobProtoP\001ZDg"
+          + "oogle.golang.org/genproto/googleapis/clo"
+          + "ud/aiplatform/v1;aiplatform\252\002\032Google.Clo"
+          + "ud.AIPlatform.V1\312\002\032Google\\Cloud\\AIPlatfo"
+          + "rm\\V1\352\002\035Google::Cloud::AIPlatform::V1b\006p"
+          + "roto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -166,6 +175,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "ModelVersionId",
               "UnmanagedContainerModel",
               "InputConfig",
+              "InstanceConfig",
               "ModelParameters",
               "OutputConfig",
               "DedicatedResources",
@@ -196,10 +206,20 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "GcsSource", "BigquerySource", "InstancesFormat", "Source",
             });
-    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor =
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor =
         internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
             .getNestedTypes()
             .get(1);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InstanceConfig_descriptor,
+            new java.lang.String[] {
+              "InstanceType", "KeyField", "IncludedFields", "ExcludedFields",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
+            .getNestedTypes()
+            .get(2);
     internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor,
@@ -209,7 +229,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor =
         internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
             .getNestedTypes()
-            .get(2);
+            .get(3);
     internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor,
@@ -222,7 +242,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
             .getNestedTypes()
-            .get(3);
+            .get(4);
     internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequest.java
index 03e25670a311..b14eb870b3ee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+ * Request message for
+ * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest}
@@ -78,8 +79,9 @@ public interface PassThroughFieldOrBuilder
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -91,8 +93,9 @@ public interface PassThroughFieldOrBuilder
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -157,8 +160,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -181,8 +185,9 @@ public java.lang.String getFieldName() {
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -563,8 +568,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -586,8 +592,9 @@ public java.lang.String getFieldName() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -609,8 +616,9 @@ public com.google.protobuf.ByteString getFieldNameBytes() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -631,8 +639,9 @@ public Builder setFieldName(java.lang.String value) {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -649,8 +658,9 @@ public Builder clearFieldName() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -747,9 +757,10 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -761,9 +772,10 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -776,7 +788,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -790,7 +803,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -804,7 +818,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -924,9 +939,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -949,9 +965,10 @@ public java.lang.String getEntityTypeId() {
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -977,7 +994,8 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -994,7 +1012,8 @@ public boolean hasFeatureSelector() {
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -1013,7 +1032,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector getFeatureSelector() {
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -1562,9 +1582,10 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1586,9 +1607,10 @@ public java.lang.String getEntityTypeId() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1610,9 +1632,10 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1633,9 +1656,10 @@ public Builder setEntityTypeId(java.lang.String value) {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1652,9 +1676,10 @@ public Builder clearEntityTypeId() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1683,7 +1708,8 @@ public Builder setEntityTypeIdBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1699,7 +1725,8 @@ public boolean hasFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1721,7 +1748,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector getFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1745,7 +1773,8 @@ public Builder setFeatureSelector(com.google.cloud.aiplatform.v1.FeatureSelector
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1767,7 +1796,8 @@ public Builder setFeatureSelector(
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1795,7 +1825,8 @@ public Builder mergeFeatureSelector(com.google.cloud.aiplatform.v1.FeatureSelect
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1817,7 +1848,8 @@ public Builder clearFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1833,7 +1865,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector.Builder getFeatureSelector
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1853,7 +1886,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelectorOrBuilder getFeatureSelecto
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -2514,8 +2548,8 @@ public com.google.cloud.aiplatform.v1.BigQuerySource getBigqueryReadInstances()
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -2541,8 +2575,8 @@ public java.lang.String getFeaturestore() {
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -2740,8 +2774,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2760,8 +2794,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2782,8 +2816,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2801,8 +2835,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2821,8 +2855,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2844,8 +2878,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -2862,8 +2896,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -2880,8 +2914,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -3147,7 +3181,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+   * Request message for
+   * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest}
@@ -4112,8 +4147,8 @@ public com.google.cloud.aiplatform.v1.BigQuerySource.Builder getBigqueryReadInst
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4138,8 +4173,8 @@ public java.lang.String getFeaturestore() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4164,8 +4199,8 @@ public com.google.protobuf.ByteString getFeaturestoreBytes() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4189,8 +4224,8 @@ public Builder setFeaturestore(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4210,8 +4245,8 @@ public Builder clearFeaturestore() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4976,8 +5011,8 @@ private void ensureEntityTypeSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5000,8 +5035,8 @@ private void ensureEntityTypeSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5022,8 +5057,8 @@ public int getEntityTypeSpecsCount() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5045,8 +5080,8 @@ public int getEntityTypeSpecsCount() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5075,8 +5110,8 @@ public Builder setEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5103,8 +5138,8 @@ public Builder setEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5132,8 +5167,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5162,8 +5197,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5189,8 +5224,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5217,8 +5252,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5246,8 +5281,8 @@ public Builder addAllEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5271,8 +5306,8 @@ public Builder clearEntityTypeSpecs() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5296,8 +5331,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5315,8 +5350,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5338,8 +5373,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5364,8 +5399,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5386,8 +5421,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5409,8 +5444,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5457,8 +5492,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5474,8 +5509,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5495,8 +5530,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5520,8 +5555,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5542,8 +5577,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5569,8 +5604,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5592,8 +5627,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5609,8 +5644,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5628,8 +5663,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequestOrBuilder.java
index 2d6c2110885b..1864b9f10e32 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesRequestOrBuilder.java
@@ -145,8 +145,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -161,8 +161,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -312,8 +312,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -329,8 +329,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -346,8 +346,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -362,8 +362,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -381,8 +381,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -399,8 +399,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -414,8 +414,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -429,8 +429,8 @@ com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec getE
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesResponse.java
index 1acf0d05b7d9..e91ea35f4ae9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+ * Response message for
+ * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.BatchReadFeatureValuesResponse}
@@ -221,7 +222,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+   * Response message for
+   * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.BatchReadFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequest.java
index d668d7b17973..f6703052bc38 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequest.java
@@ -77,11 +77,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -106,11 +107,12 @@ public java.lang.String getTensorboard() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -138,7 +140,8 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -155,7 +158,8 @@ public com.google.protobuf.ProtocolStringList getTimeSeriesList() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -172,7 +176,8 @@ public int getTimeSeriesCount() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -190,7 +195,8 @@ public java.lang.String getTimeSeries(int index) {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -596,11 +602,12 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -624,11 +631,12 @@ public java.lang.String getTensorboard() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -652,11 +660,12 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -679,11 +688,12 @@ public Builder setTensorboard(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -702,11 +712,12 @@ public Builder clearTensorboard() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -740,7 +751,8 @@ private void ensureTimeSeriesIsMutable() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -757,7 +769,8 @@ public com.google.protobuf.ProtocolStringList getTimeSeriesList() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -774,7 +787,8 @@ public int getTimeSeriesCount() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -792,7 +806,8 @@ public java.lang.String getTimeSeries(int index) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -810,7 +825,8 @@ public com.google.protobuf.ByteString getTimeSeriesBytes(int index) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -835,7 +851,8 @@ public Builder setTimeSeries(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -859,7 +876,8 @@ public Builder addTimeSeries(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -880,7 +898,8 @@ public Builder addAllTimeSeries(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -900,7 +919,8 @@ public Builder clearTimeSeries() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
index 8b07b8f30105..89a8b2a00144 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
@@ -27,11 +27,12 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -45,11 +46,12 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -64,7 +66,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -79,7 +82,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -94,7 +98,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -110,7 +115,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java
index bed231ad1cec..9ffd1a3bcfca 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+ * Request message for
+ * [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+   * Request message for
+   * [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java
index 5753c37c485e..eecbad71f187 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+ * Request message for
+ * [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelCustomJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+   * Request message for
+   * [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java
index 7cb66a311740..853f17121588 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
+ * Request message for
+ * [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
+   * Request message for
+   * [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java
index f6a17fd91803..47b22e9cf170 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+ * Request message for
+ * [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest}
@@ -291,7 +292,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+   * Request message for
+   * [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelPipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelPipelineJobRequest.java
index c76d1438e1d1..53920fcfd259 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelPipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelPipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
+ * Request message for
+ * [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelPipelineJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
+   * Request message for
+   * [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelPipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java
index 00cb25dfcbe7..b0e13e0acff6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+ * Request message for
+ * [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CancelTrainingPipelineRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+   * Request message for
+   * [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CancelTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateRequest.java
index 2b2f0f8337dd..4665ef54ef83 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+ * Request message for
+ * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest}
@@ -291,7 +292,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+   * Request message for
+   * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateResponse.java
index 88003dc62854..17b5bd53737d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CheckTrialEarlyStoppingStateResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+ * Response message for
+ * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse}
@@ -250,7 +251,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+   * Response message for
+   * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompleteTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompleteTrialRequest.java
index 650d6fe789bc..22734ab82fc8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompleteTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompleteTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
+ * Request message for
+ * [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CompleteTrialRequest}
@@ -450,7 +451,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
+   * Request message for
+   * [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CompleteTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java
index 1e7a2daa3243..fabfdc6dfe98 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java
@@ -108,11 +108,11 @@ public long getFailedCount() {
    *
    *
    * 
-   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-   * may be failed as a whole. Below is the number of entities for which the
-   * processing had not been finished (either in successful or failed state).
-   * Set to -1 if the number is unknown (for example, the operation failed
-   * before the total entity number could be collected).
+   * Output only. In cases when enough errors are encountered a job, pipeline,
+   * or operation may be failed as a whole. Below is the number of entities for
+   * which the processing had not been finished (either in successful or failed
+   * state). Set to -1 if the number is unknown (for example, the operation
+   * failed before the total entity number could be collected).
    * 

    *
    * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -130,8 +130,9 @@ public long getIncompleteCount() {
    *
    *
    * 
-   * Output only. The number of the successful forecast points that are generated by the
-   * forecasting model. This is ONLY used by the forecasting batch prediction.
+   * Output only. The number of the successful forecast points that are
+   * generated by the forecasting model. This is ONLY used by the forecasting
+   * batch prediction.
    * 

    *
    * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -646,11 +647,11 @@ public Builder clearFailedCount() {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -665,11 +666,11 @@ public long getIncompleteCount() {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -687,11 +688,11 @@ public Builder setIncompleteCount(long value) {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -710,8 +711,9 @@ public Builder clearIncompleteCount() {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -727,8 +729,9 @@ public long getSuccessfulForecastPointCount() {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -747,8 +750,9 @@ public Builder setSuccessfulForecastPointCount(long value) {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java
index a2250cae7e91..913e79a1302c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java
@@ -53,11 +53,11 @@ public interface CompletionStatsOrBuilder
    *
    *
    * 
-   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-   * may be failed as a whole. Below is the number of entities for which the
-   * processing had not been finished (either in successful or failed state).
-   * Set to -1 if the number is unknown (for example, the operation failed
-   * before the total entity number could be collected).
+   * Output only. In cases when enough errors are encountered a job, pipeline,
+   * or operation may be failed as a whole. Below is the number of entities for
+   * which the processing had not been finished (either in successful or failed
+   * state). Set to -1 if the number is unknown (for example, the operation
+   * failed before the total entity number could be collected).
    * 

    *
    * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -70,8 +70,9 @@ public interface CompletionStatsOrBuilder
    *
    *
    * 
-   * Output only. The number of the successful forecast points that are generated by the
-   * forecasting model. This is ONLY used by the forecasting batch prediction.
+   * Output only. The number of the successful forecast points that are
+   * generated by the forecasting model. This is ONLY used by the forecasting
+   * batch prediction.
    * 

    *
    * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java
index c9da9459fb20..732b7cb18633 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java
@@ -76,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -100,8 +100,8 @@ public java.lang.String getImageUri() {
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -805,8 +805,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -828,8 +828,8 @@ public java.lang.String getImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -851,8 +851,8 @@ public com.google.protobuf.ByteString getImageUriBytes() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -873,8 +873,8 @@ public Builder setImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -891,8 +891,8 @@ public Builder clearImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java
index 1ecf29f4cd34..ec54847b1540 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface ContainerSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -40,8 +40,8 @@ public interface ContainerSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Context.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Context.java
index b524eee9bd39..53bdb3c691de 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Context.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Context.java
@@ -457,8 +457,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -474,8 +474,8 @@ public com.google.protobuf.ProtocolStringList getParentContextsList() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -491,8 +491,8 @@ public int getParentContextsCount() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -509,8 +509,8 @@ public java.lang.String getParentContexts(int index) {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -2306,8 +2306,8 @@ private void ensureParentContextsIsMutable() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2323,8 +2323,8 @@ public com.google.protobuf.ProtocolStringList getParentContextsList() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2340,8 +2340,8 @@ public int getParentContextsCount() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2358,8 +2358,8 @@ public java.lang.String getParentContexts(int index) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2376,8 +2376,8 @@ public com.google.protobuf.ByteString getParentContextsBytes(int index) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2401,8 +2401,8 @@ public Builder setParentContexts(int index, java.lang.String value) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2425,8 +2425,8 @@ public Builder addParentContexts(java.lang.String value) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2446,8 +2446,8 @@ public Builder addAllParentContexts(java.lang.Iterable values)
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2466,8 +2466,8 @@ public Builder clearParentContexts() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContextOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContextOrBuilder.java
index 8fdeadc83757..41d8a6d17034 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContextOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContextOrBuilder.java
@@ -266,8 +266,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -281,8 +281,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -296,8 +296,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -312,8 +312,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateArtifactRequest.java
index 529c9779f409..899b79b38255 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
+ * Request message for
+ * [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateArtifactRequest}
@@ -428,7 +429,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
+   * Request message for
+   * [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java
index 47c492782db9..6d9a63951526 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+ * Request message for
+ * [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -100,8 +101,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+   * Request message for
+   * [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest}
@@ -551,8 +553,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -576,8 +578,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -601,8 +603,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -625,8 +627,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -645,8 +647,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java
index 736503f0c812..cc142e25e1f9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateBatchPredictionJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface CreateBatchPredictionJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequest.java
index c358f9efd302..d8cb13dddbb2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
+ * Request message for
+ * [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateContextRequest}
@@ -74,9 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -102,9 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -428,7 +427,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
+   * Request message for
+   * [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateContextRequest}
@@ -633,9 +633,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -660,9 +659,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -687,9 +685,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -713,9 +710,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -735,9 +731,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequestOrBuilder.java
index 8e4e530c5ada..dec53bddeca4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateContextRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface CreateContextRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface CreateContextRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java
index 7353ae26c539..213859fa1713 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+ * Request message for
+ * [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateCustomJobRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+   * Request message for
+   * [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java
index e91f766032be..c3d69716f9ff 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
+ * Request message for
+ * [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateDataLabelingJobRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
+   * Request message for
+   * [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java
index 47e11013a3bd..225dc54c3797 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+ * Runtime operation information for
+ * [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetOperationMetadata}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+   * Runtime operation information for
+   * [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java
index 2a2edefc9424..d7ae63a0281c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+ * Request message for
+ * [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetRequest}
@@ -353,7 +354,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+   * Request message for
+   * [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java
index 04319c30293e..5816d26fa7fa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+ * Runtime operation information for
+ * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointOperationMetadata}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+   * Runtime operation information for
+   * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java
index 37df3ea50d57..a5eb17f76fc1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+ * Request message for
+ * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointRequest}
@@ -424,7 +425,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+   * Request message for
+   * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequest.java
index 85b460912042..decc02efe817 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
+ * Request message for
+ * [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateEntityTypeRequest}
@@ -179,8 +180,8 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypeOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -206,8 +207,8 @@ public java.lang.String getEntityTypeId() {
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -417,7 +418,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
+   * Request message for
+   * [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateEntityTypeRequest}
@@ -934,8 +936,8 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypeOrBuilder
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -960,8 +962,8 @@ public java.lang.String getEntityTypeId() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -986,8 +988,8 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -1011,8 +1013,8 @@ public Builder setEntityTypeId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -1032,8 +1034,8 @@ public Builder clearEntityTypeId() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequestOrBuilder.java
index 29eab139bf8d..b6b401f9cad3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEntityTypeRequestOrBuilder.java
@@ -95,8 +95,8 @@ public interface CreateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -111,8 +111,8 @@ public interface CreateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateExecutionRequest.java
index cc236cf263cf..6d777f299a0b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
+ * Request message for
+ * [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateExecutionRequest}
@@ -431,7 +432,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
+   * Request message for
+   * [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequest.java
index a36a610ce3d1..0c9c75afd15d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
+ * Request message for
+ * [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateFeatureRequest}
@@ -185,8 +186,8 @@ public com.google.cloud.aiplatform.v1.FeatureOrBuilder getFeatureOrBuilder() {
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -212,8 +213,8 @@ public java.lang.String getFeatureId() {
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -422,7 +423,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
+   * Request message for
+   * [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateFeatureRequest}
@@ -956,8 +958,8 @@ public com.google.cloud.aiplatform.v1.FeatureOrBuilder getFeatureOrBuilder() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -982,8 +984,8 @@ public java.lang.String getFeatureId() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1008,8 +1010,8 @@ public com.google.protobuf.ByteString getFeatureIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1033,8 +1035,8 @@ public Builder setFeatureId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1054,8 +1056,8 @@ public Builder clearFeatureId() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequestOrBuilder.java
index 1f40d3027317..ae2350a4a6b8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeatureRequestOrBuilder.java
@@ -101,8 +101,8 @@ public interface CreateFeatureRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -117,8 +117,8 @@ public interface CreateFeatureRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequest.java
index 113902bfd7a1..28b06c96e8cb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
+ * Request message for
+ * [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateFeaturestoreRequest}
@@ -185,8 +186,8 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoreOrBui
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -212,8 +213,8 @@ public java.lang.String getFeaturestoreId() {
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -423,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
+   * Request message for
+   * [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateFeaturestoreRequest}
@@ -958,8 +960,8 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoreOrBui
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -984,8 +986,8 @@ public java.lang.String getFeaturestoreId() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1010,8 +1012,8 @@ public com.google.protobuf.ByteString getFeaturestoreIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1035,8 +1037,8 @@ public Builder setFeaturestoreId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1056,8 +1058,8 @@ public Builder clearFeaturestoreId() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequestOrBuilder.java
index 8713f4e41bf5..d5e621c43660 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateFeaturestoreRequestOrBuilder.java
@@ -101,8 +101,8 @@ public interface CreateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -117,8 +117,8 @@ public interface CreateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java
index 8ddcd3788be1..4292296fd949 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+ * Request message for
+ * [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest}
@@ -75,8 +76,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +103,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -359,7 +362,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+   * Request message for
+   * [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest}
@@ -558,8 +562,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -583,8 +588,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -608,8 +614,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -632,8 +639,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -652,8 +660,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java
index 2185a863a465..7b9cca28f8ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface CreateHyperparameterTuningJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +43,9 @@ public interface CreateHyperparameterTuningJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexEndpointRequest.java
index 2d12f57e7750..b609218ad2f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexEndpointRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexOperationMetadata.java
index 6c718c32388d..b965289a9740 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+ * Runtime operation information for
+ * [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexOperationMetadata}
@@ -358,7 +359,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+   * Runtime operation information for
+   * [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexRequest.java
index 8cd634c1ac8e..f4a7af9d365d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+ * Request message for
+ * [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexRequest}
@@ -348,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+   * Request message for
+   * [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequest.java
index 66e00f8377cf..3f19aff03a6b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
+ * Request message for
+ * [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataSchemaRequest}
@@ -74,9 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -102,9 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -431,7 +430,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
+   * Request message for
+   * [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataSchemaRequest}
@@ -636,9 +636,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -663,9 +662,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -690,9 +688,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -716,9 +713,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -738,9 +734,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequestOrBuilder.java
index 9078231606e4..88633046dd88 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataSchemaRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface CreateMetadataSchemaRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface CreateMetadataSchemaRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreOperationMetadata.java
index 5f8393fee9ad..c50c7c784e37 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+ * Details of operations that perform
+ * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata}
@@ -286,7 +287,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+   * Details of operations that perform
+   * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreRequest.java
index 539e291050e3..e221f72d4b55 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+ * Request message for
+ * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataStoreRequest}
@@ -429,7 +430,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+   * Request message for
+   * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateMetadataStoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreatePipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreatePipelineJobRequest.java
index e60d6fbbf4dc..b6a12386029c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreatePipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreatePipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
+ * Request message for
+ * [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreatePipelineJobRequest}
@@ -421,7 +422,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
+   * Request message for
+   * [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreatePipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java
index 1489c3f413cd..c9956a44d2b6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateStudyRequest.java
index d47196ec9b1f..a43ed33d5ebd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
+ * Request message for
+ * [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateStudyRequest}
@@ -348,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
+   * Request message for
+   * [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequest.java
index 12f6356f19b2..55b90d509fee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -102,8 +103,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -181,8 +182,8 @@ public com.google.cloud.aiplatform.v1.TensorboardExperiment getTensorboardExperi
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -207,8 +208,8 @@ public java.lang.String getTensorboardExperimentId() {
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -419,7 +420,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest}
@@ -629,8 +631,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -655,8 +657,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -681,8 +683,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -706,8 +708,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -727,8 +729,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -946,8 +948,8 @@ public Builder clearTensorboardExperiment() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -971,8 +973,8 @@ public java.lang.String getTensorboardExperimentId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -996,8 +998,8 @@ public com.google.protobuf.ByteString getTensorboardExperimentIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -1020,8 +1022,8 @@ public Builder setTensorboardExperimentId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -1040,8 +1042,8 @@ public Builder clearTensorboardExperimentId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequestOrBuilder.java
index 2cfa423428c3..d11b094df5fc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardExperimentRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -43,8 +43,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -95,8 +95,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -110,8 +110,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRequest.java
index 89fa66b9bcb2..7cc0ece285f6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
+ * Request message for
+ * [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
+   * Request message for
+   * [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequest.java
index 0bdae30e9d04..8a97304fbb8d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
+ * Request message for
+ * [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardRunRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -185,7 +186,7 @@ public com.google.cloud.aiplatform.v1.TensorboardRunOrBuilder getTensorboardRunO
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -211,7 +212,7 @@ public java.lang.String getTensorboardRunId() {
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -421,7 +422,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
+   * Request message for
+   * [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardRunRequest}
@@ -626,8 +628,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -652,8 +654,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -678,8 +680,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -703,8 +705,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -724,8 +726,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -956,7 +958,7 @@ public com.google.cloud.aiplatform.v1.TensorboardRunOrBuilder getTensorboardRunO
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -981,7 +983,7 @@ public java.lang.String getTensorboardRunId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1006,7 +1008,7 @@ public com.google.protobuf.ByteString getTensorboardRunIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1030,7 +1032,7 @@ public Builder setTensorboardRunId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1050,7 +1052,7 @@ public Builder clearTensorboardRunId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequestOrBuilder.java
index 2957ae6d9f02..7b9e51d310b6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardRunRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -43,8 +43,8 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -101,7 +101,7 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -116,7 +116,7 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequest.java
index 4772bd2e8b06..3fddf032fa37 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest}
@@ -134,10 +135,10 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -160,10 +161,10 @@ public java.lang.String getTensorboardTimeSeriesId() {
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -427,7 +428,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest}
@@ -768,10 +770,10 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -793,10 +795,10 @@ public java.lang.String getTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -818,10 +820,10 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -842,10 +844,10 @@ public Builder setTensorboardTimeSeriesId(java.lang.String value) {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -862,10 +864,10 @@ public Builder clearTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequestOrBuilder.java
index 5ca81431b68c..fd11337d4712 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTensorboardTimeSeriesRequestOrBuilder.java
@@ -62,10 +62,10 @@ public interface CreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -77,10 +77,10 @@ public interface CreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java
index aab3d2261d61..244ffbe766a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+ * Request message for
+ * [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrainingPipelineRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -99,8 +100,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+   * Request message for
+   * [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrainingPipelineRequest}
@@ -549,8 +551,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -574,8 +576,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -599,8 +601,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -623,8 +625,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -643,8 +645,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java
index 890e1a2e1f83..c7e0a0344733 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTrainingPipelineRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface CreateTrainingPipelineRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrialRequest.java
index ae50da043ac2..eb5d4a489154 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
+ * Request message for
+ * [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrialRequest}
@@ -348,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
+   * Request message for
+   * [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java
index 85e2401dd366..267e15918d33 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java
@@ -734,7 +734,8 @@ public int getWebAccessUrisCount() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -766,7 +767,8 @@ public java.util.Map getWebAccessUris() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -789,7 +791,8 @@ public java.util.Map getWebAccessUrisMap() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -817,7 +820,8 @@ public java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3474,7 +3478,8 @@ public int getWebAccessUrisCount() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3506,7 +3511,8 @@ public java.util.Map getWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3529,7 +3535,8 @@ public java.util.Map getWebAccessUrisMap() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3557,7 +3564,8 @@ public java.lang.String getWebAccessUrisOrDefault(
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3592,7 +3600,8 @@ public Builder clearWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3623,7 +3632,8 @@ public java.util.Map getMutableWebAccessUris
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3653,7 +3663,8 @@ public Builder putWebAccessUris(java.lang.String key, java.lang.String value) {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java
index b7dcb6f7f3e9..f95c7f74cbcd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java
@@ -470,7 +470,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -490,7 +491,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -513,7 +515,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -533,7 +536,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -558,7 +562,8 @@ java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java
index 4e27382542e2..f9668f5ae36f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java
@@ -77,9 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -94,9 +94,9 @@ public java.util.List getWorkerPo
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -112,9 +112,9 @@ public java.util.List getWorkerPo
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -129,9 +129,9 @@ public int getWorkerPoolSpecsCount() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -146,9 +146,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int inde
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -430,8 +430,8 @@ public com.google.protobuf.ByteString getReservedIpRangesBytes(int index) {
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -460,8 +460,8 @@ public boolean hasBaseOutputDirectory() {
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -492,8 +492,8 @@ public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -519,9 +519,9 @@ public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getBaseOutputDirec
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+   * this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -547,9 +547,9 @@ public java.lang.String getTensorboard() {
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+   * this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -582,7 +582,11 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
    * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * to training containers.
    * If set to `true`, you can access interactive shells at the URIs given
-   * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+   * by
+   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+   * or
+   * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+   * (within
    * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
    * 

    *
@@ -1190,9 +1194,9 @@ private void ensureWorkerPoolSpecsIsMutable() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1210,9 +1214,9 @@ public java.util.List getWorkerPo
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1230,9 +1234,9 @@ public int getWorkerPoolSpecsCount() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1250,9 +1254,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int inde
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1277,9 +1281,9 @@ public Builder setWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1301,9 +1305,9 @@ public Builder setWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1327,9 +1331,9 @@ public Builder addWorkerPoolSpecs(com.google.cloud.aiplatform.v1.WorkerPoolSpec
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1354,9 +1358,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1378,9 +1382,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1402,9 +1406,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1426,9 +1430,9 @@ public Builder addAllWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1449,9 +1453,9 @@ public Builder clearWorkerPoolSpecs() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1472,9 +1476,9 @@ public Builder removeWorkerPoolSpecs(int index) {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1489,9 +1493,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder getWorkerPoolSpecsB
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1510,9 +1514,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecs
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1531,9 +1535,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecs
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1548,9 +1552,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsB
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1566,9 +1570,9 @@ public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsB
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -2314,8 +2318,8 @@ public Builder addReservedIpRangesBytes(com.google.protobuf.ByteString value) {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2343,8 +2347,8 @@ public boolean hasBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2378,8 +2382,8 @@ public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2415,8 +2419,8 @@ public Builder setBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestinat
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2450,8 +2454,8 @@ public Builder setBaseOutputDirectory(
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2491,8 +2495,8 @@ public Builder mergeBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestin
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2526,8 +2530,8 @@ public Builder clearBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2555,8 +2559,8 @@ public com.google.cloud.aiplatform.v1.GcsDestination.Builder getBaseOutputDirect
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2589,8 +2593,8 @@ public com.google.cloud.aiplatform.v1.GcsDestination.Builder getBaseOutputDirect
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2627,9 +2631,9 @@ public com.google.cloud.aiplatform.v1.GcsDestination.Builder getBaseOutputDirect
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+     * this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2654,9 +2658,9 @@ public java.lang.String getTensorboard() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+     * this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2681,9 +2685,9 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+     * this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2707,9 +2711,9 @@ public Builder setTensorboard(java.lang.String value) {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+     * this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2729,9 +2733,9 @@ public Builder clearTensorboard() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+     * this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2762,7 +2766,11 @@ public Builder setTensorboardBytes(com.google.protobuf.ByteString value) {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
      * 

      *
@@ -2782,7 +2790,11 @@ public boolean getEnableWebAccess() {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
      * 

      *
@@ -2805,7 +2817,11 @@ public Builder setEnableWebAccess(boolean value) {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java
index 00ac945f18fb..161ec4dfbdef 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java
@@ -27,9 +27,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -41,9 +41,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -55,9 +55,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -69,9 +69,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -84,9 +84,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -291,8 +291,8 @@ public interface CustomJobSpecOrBuilder
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -318,8 +318,8 @@ public interface CustomJobSpecOrBuilder
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -345,8 +345,8 @@ public interface CustomJobSpecOrBuilder
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -367,9 +367,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+   * this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -384,9 +384,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+   * this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -406,7 +406,11 @@ public interface CustomJobSpecOrBuilder
    * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * to training containers.
    * If set to `true`, you can access interactive shells at the URIs given
-   * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+   * by
+   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+   * or
+   * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+   * (within
    * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java
index 075ae7ac9a99..2eb4497863ee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java
@@ -363,9 +363,10 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -380,9 +381,10 @@ public boolean hasPayload() {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -397,9 +399,10 @@ public com.google.protobuf.Value getPayload() {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -415,8 +418,8 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -439,8 +442,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1700,9 +1703,10 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1716,9 +1720,10 @@ public boolean hasPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1736,9 +1741,10 @@ public com.google.protobuf.Value getPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1760,9 +1766,10 @@ public Builder setPayload(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1781,9 +1788,10 @@ public Builder setPayload(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1806,9 +1814,10 @@ public Builder mergePayload(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1828,9 +1837,10 @@ public Builder clearPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1844,9 +1854,10 @@ public com.google.protobuf.Value.Builder getPayloadBuilder() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1862,9 +1873,10 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1891,8 +1903,8 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1914,8 +1926,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1937,8 +1949,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1959,8 +1971,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1977,8 +1989,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java
index a95e033b2c08..babf8fa88369 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java
@@ -227,9 +227,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -241,9 +242,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -255,9 +257,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -268,8 +271,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -281,8 +284,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java
index ad03fefb3c74..82f7a7ceb624 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java
@@ -197,9 +197,8 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -216,9 +215,8 @@ public com.google.protobuf.ProtocolStringList getDatasetsList() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -235,9 +233,8 @@ public int getDatasetsCount() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -255,9 +252,8 @@ public java.lang.String getDatasets(int index) {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -421,9 +417,9 @@ public int getLabelerCount() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -446,9 +442,9 @@ public java.lang.String getInstructionUri() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -474,9 +470,9 @@ public com.google.protobuf.ByteString getInstructionUriBytes() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -501,9 +497,9 @@ public java.lang.String getInputsSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -617,8 +613,8 @@ public com.google.cloud.aiplatform.v1.JobState getState() {
    *
    *
    * 
-   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-   * indicating the percentage of DataItems that has been finished.
+   * Output only. Current labeling job progress percentage scaled in interval
+   * [0, 100], indicating the percentage of DataItems that has been finished.
    * 

    *
    * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -636,8 +632,8 @@ public int getLabelingProgress() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -653,8 +649,8 @@ public boolean hasCurrentSpend() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -670,8 +666,8 @@ public com.google.type.Money getCurrentSpend() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -786,8 +782,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -802,8 +798,8 @@ public boolean hasError() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -818,8 +814,8 @@ public com.google.rpc.Status getError() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -866,7 +862,8 @@ public int getLabelsCount() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -896,7 +893,8 @@ public java.util.Map getLabels() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -917,7 +915,8 @@ public java.util.Map getLabelsMap() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -942,7 +941,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -2243,9 +2243,8 @@ private void ensureDatasetsIsMutable() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2262,9 +2261,8 @@ public com.google.protobuf.ProtocolStringList getDatasetsList() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2281,9 +2279,8 @@ public int getDatasetsCount() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2301,9 +2298,8 @@ public java.lang.String getDatasets(int index) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2321,9 +2317,8 @@ public com.google.protobuf.ByteString getDatasetsBytes(int index) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2348,9 +2343,8 @@ public Builder setDatasets(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2374,9 +2368,8 @@ public Builder addDatasets(java.lang.String value) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2397,9 +2390,8 @@ public Builder addAllDatasets(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2419,9 +2411,8 @@ public Builder clearDatasets() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2707,9 +2698,9 @@ public Builder clearLabelerCount() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2731,9 +2722,9 @@ public java.lang.String getInstructionUri() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2755,9 +2746,9 @@ public com.google.protobuf.ByteString getInstructionUriBytes() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2778,9 +2769,9 @@ public Builder setInstructionUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2797,9 +2788,9 @@ public Builder clearInstructionUri() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2823,9 +2814,9 @@ public Builder setInstructionUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2849,9 +2840,9 @@ public java.lang.String getInputsSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2875,9 +2866,9 @@ public com.google.protobuf.ByteString getInputsSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2900,9 +2891,9 @@ public Builder setInputsSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2921,9 +2912,9 @@ public Builder clearInputsSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -3227,8 +3218,8 @@ public Builder clearState() {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3243,8 +3234,8 @@ public int getLabelingProgress() {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3262,8 +3253,8 @@ public Builder setLabelingProgress(int value) {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3285,8 +3276,8 @@ public Builder clearLabelingProgress() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3301,8 +3292,8 @@ public boolean hasCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3321,8 +3312,8 @@ public com.google.type.Money getCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3345,8 +3336,8 @@ public Builder setCurrentSpend(com.google.type.Money value) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3366,8 +3357,8 @@ public Builder setCurrentSpend(com.google.type.Money.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3392,8 +3383,8 @@ public Builder mergeCurrentSpend(com.google.type.Money value) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3414,8 +3405,8 @@ public Builder clearCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3430,8 +3421,8 @@ public com.google.type.Money.Builder getCurrentSpendBuilder() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3448,8 +3439,8 @@ public com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3880,8 +3871,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3895,8 +3886,8 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3914,8 +3905,8 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3937,8 +3928,8 @@ public Builder setError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3957,8 +3948,8 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3981,8 +3972,8 @@ public Builder mergeError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4002,8 +3993,8 @@ public Builder clearError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4017,8 +4008,8 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4034,8 +4025,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4091,7 +4082,8 @@ public int getLabelsCount() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4121,7 +4113,8 @@ public java.util.Map getLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4142,7 +4135,8 @@ public java.util.Map getLabelsMap() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4168,7 +4162,8 @@ public java.lang.String getLabelsOrDefault(
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4201,7 +4196,8 @@ public Builder clearLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4230,7 +4226,8 @@ public java.util.Map getMutableLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4258,7 +4255,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java
index 20136a9cfbfc..a46f1114d444 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java
@@ -83,9 +83,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -100,9 +99,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -117,9 +115,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -135,9 +132,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -256,9 +252,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -270,9 +266,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -285,9 +281,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -301,9 +297,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -382,8 +378,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-   * indicating the percentage of DataItems that has been finished.
+   * Output only. Current labeling job progress percentage scaled in interval
+   * [0, 100], indicating the percentage of DataItems that has been finished.
    * 

    *
    * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -396,8 +392,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -410,8 +406,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -424,8 +420,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -513,8 +509,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -526,8 +522,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -539,8 +535,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -559,7 +555,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -577,7 +574,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -598,7 +596,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -616,7 +615,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -639,7 +639,8 @@ java.lang.String getLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java
index ebd79d179272..fb01aadec774 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java
@@ -43,6 +43,7 @@ private Dataset() {
     description_ = "";
     metadataSchemaUri_ = "";
     etag_ = "";
+    savedQueries_ = java.util.Collections.emptyList();
     metadataArtifact_ = "";
   }
 
@@ -240,11 +241,10 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -267,11 +267,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -525,7 +524,9 @@ public int getLabelsCount() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -557,7 +558,9 @@ public java.util.Map getLabels() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -580,7 +583,9 @@ public java.util.Map getLabelsMap() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -607,7 +612,9 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -624,6 +631,105 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int SAVED_QUERIES_FIELD_NUMBER = 9;
+  private java.util.List savedQueries_;
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public java.util.List getSavedQueriesList() {
+    return savedQueries_;
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public java.util.List
+      getSavedQueriesOrBuilderList() {
+    return savedQueries_;
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public int getSavedQueriesCount() {
+    return savedQueries_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SavedQuery getSavedQueries(int index) {
+    return savedQueries_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SavedQueryOrBuilder getSavedQueriesOrBuilder(int index) {
+    return savedQueries_.get(index);
+  }
+
   public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
   private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
   /**
@@ -681,8 +787,9 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -706,8 +813,9 @@ public java.lang.String getMetadataArtifact() {
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -765,6 +873,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (metadata_ != null) {
       output.writeMessage(8, getMetadata());
     }
+    for (int i = 0; i < savedQueries_.size(); i++) {
+      output.writeMessage(9, savedQueries_.get(i));
+    }
     if (encryptionSpec_ != null) {
       output.writeMessage(11, getEncryptionSpec());
     }
@@ -814,6 +925,9 @@ public int getSerializedSize() {
     if (metadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
     }
+    for (int i = 0; i < savedQueries_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, savedQueries_.get(i));
+    }
     if (encryptionSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
     }
@@ -856,6 +970,7 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (!getSavedQueriesList().equals(other.getSavedQueriesList())) return false;
     if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
     if (hasEncryptionSpec()) {
       if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
@@ -898,6 +1013,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (getSavedQueriesCount() > 0) {
+      hash = (37 * hash) + SAVED_QUERIES_FIELD_NUMBER;
+      hash = (53 * hash) + getSavedQueriesList().hashCode();
+    }
     if (hasEncryptionSpec()) {
       hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
       hash = (53 * hash) + getEncryptionSpec().hashCode();
@@ -1091,6 +1210,13 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (savedQueriesBuilder_ == null) {
+        savedQueries_ = java.util.Collections.emptyList();
+      } else {
+        savedQueries_ = null;
+        savedQueriesBuilder_.clear();
+      }
+      bitField0_ = (bitField0_ & ~0x00000002);
       if (encryptionSpecBuilder_ == null) {
         encryptionSpec_ = null;
       } else {
@@ -1149,6 +1275,15 @@ public com.google.cloud.aiplatform.v1.Dataset buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (savedQueriesBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          savedQueries_ = java.util.Collections.unmodifiableList(savedQueries_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.savedQueries_ = savedQueries_;
+      } else {
+        result.savedQueries_ = savedQueriesBuilder_.build();
+      }
       if (encryptionSpecBuilder_ == null) {
         result.encryptionSpec_ = encryptionSpec_;
       } else {
@@ -1234,6 +1369,33 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1.Dataset other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (savedQueriesBuilder_ == null) {
+        if (!other.savedQueries_.isEmpty()) {
+          if (savedQueries_.isEmpty()) {
+            savedQueries_ = other.savedQueries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureSavedQueriesIsMutable();
+            savedQueries_.addAll(other.savedQueries_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.savedQueries_.isEmpty()) {
+          if (savedQueriesBuilder_.isEmpty()) {
+            savedQueriesBuilder_.dispose();
+            savedQueriesBuilder_ = null;
+            savedQueries_ = other.savedQueries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            savedQueriesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getSavedQueriesFieldBuilder()
+                    : null;
+          } else {
+            savedQueriesBuilder_.addAllMessages(other.savedQueries_);
+          }
+        }
+      }
       if (other.hasEncryptionSpec()) {
         mergeEncryptionSpec(other.getEncryptionSpec());
       }
@@ -1320,6 +1482,19 @@ public Builder mergeFrom(
 
                 break;
               } // case 66
+            case 74:
+              {
+                com.google.cloud.aiplatform.v1.SavedQuery m =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.SavedQuery.parser(), extensionRegistry);
+                if (savedQueriesBuilder_ == null) {
+                  ensureSavedQueriesIsMutable();
+                  savedQueries_.add(m);
+                } else {
+                  savedQueriesBuilder_.addMessage(m);
+                }
+                break;
+              } // case 74
             case 90:
               {
                 input.readMessage(getEncryptionSpecFieldBuilder().getBuilder(), extensionRegistry);
@@ -1690,11 +1865,10 @@ public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1716,11 +1890,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1742,11 +1915,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1767,11 +1939,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1788,11 +1959,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -2542,7 +2712,9 @@ public int getLabelsCount() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2574,7 +2746,9 @@ public java.util.Map getLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2597,7 +2771,9 @@ public java.util.Map getLabelsMap() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2625,7 +2801,9 @@ public java.lang.String getLabelsOrDefault(
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2660,7 +2838,9 @@ public Builder clearLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2691,7 +2871,9 @@ public java.util.Map getMutableLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2721,7 +2903,9 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2731,6 +2915,465 @@ public Builder putAllLabels(java.util.Map va
       return this;
     }
 
+    private java.util.List savedQueries_ =
+        java.util.Collections.emptyList();
+
+    private void ensureSavedQueriesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        savedQueries_ =
+            new java.util.ArrayList(savedQueries_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SavedQuery,
+            com.google.cloud.aiplatform.v1.SavedQuery.Builder,
+            com.google.cloud.aiplatform.v1.SavedQueryOrBuilder>
+        savedQueriesBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List getSavedQueriesList() {
+      if (savedQueriesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(savedQueries_);
+      } else {
+        return savedQueriesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public int getSavedQueriesCount() {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.size();
+      } else {
+        return savedQueriesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1.SavedQuery getSavedQueries(int index) {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.get(index);
+      } else {
+        return savedQueriesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder setSavedQueries(int index, com.google.cloud.aiplatform.v1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.set(index, value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder setSavedQueries(
+        int index, com.google.cloud.aiplatform.v1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(com.google.cloud.aiplatform.v1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(int index, com.google.cloud.aiplatform.v1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(index, value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(
+        com.google.cloud.aiplatform.v1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(
+        int index, com.google.cloud.aiplatform.v1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder addAllSavedQueries(
+        java.lang.Iterable values) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, savedQueries_);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder clearSavedQueries() {
+      if (savedQueriesBuilder_ == null) {
+        savedQueries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public Builder removeSavedQueries(int index) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.remove(index);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1.SavedQuery.Builder getSavedQueriesBuilder(int index) {
+      return getSavedQueriesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1.SavedQueryOrBuilder getSavedQueriesOrBuilder(int index) {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.get(index);
+      } else {
+        return savedQueriesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List
+        getSavedQueriesOrBuilderList() {
+      if (savedQueriesBuilder_ != null) {
+        return savedQueriesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(savedQueries_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1.SavedQuery.Builder addSavedQueriesBuilder() {
+      return getSavedQueriesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.SavedQuery.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1.SavedQuery.Builder addSavedQueriesBuilder(int index) {
+      return getSavedQueriesFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.SavedQuery.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List
+        getSavedQueriesBuilderList() {
+      return getSavedQueriesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SavedQuery,
+            com.google.cloud.aiplatform.v1.SavedQuery.Builder,
+            com.google.cloud.aiplatform.v1.SavedQueryOrBuilder>
+        getSavedQueriesFieldBuilder() {
+      if (savedQueriesBuilder_ == null) {
+        savedQueriesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.SavedQuery,
+                com.google.cloud.aiplatform.v1.SavedQuery.Builder,
+                com.google.cloud.aiplatform.v1.SavedQueryOrBuilder>(
+                savedQueries_, ((bitField0_ & 0x00000002) != 0), getParentForChildren(), isClean());
+        savedQueries_ = null;
+      }
+      return savedQueriesBuilder_;
+    }
+
     private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1.EncryptionSpec,
@@ -2931,8 +3574,9 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -2955,8 +3599,9 @@ public java.lang.String getMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -2979,8 +3624,9 @@ public com.google.protobuf.ByteString getMetadataArtifactBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -3002,8 +3648,9 @@ public Builder setMetadataArtifact(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -3021,8 +3668,9 @@ public Builder clearMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java
index f9127ea28cbd..4ce8d223e2f6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java
@@ -106,11 +106,10 @@ public interface DatasetOrBuilder
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -122,11 +121,10 @@ public interface DatasetOrBuilder
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -287,7 +285,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -307,7 +307,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -330,7 +332,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -350,7 +354,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -375,13 +381,97 @@ java.lang.String getLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
 
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  java.util.List getSavedQueriesList();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  com.google.cloud.aiplatform.v1.SavedQuery getSavedQueries(int index);
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  int getSavedQueriesCount();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  java.util.List
+      getSavedQueriesOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;
+   */
+  com.google.cloud.aiplatform.v1.SavedQueryOrBuilder getSavedQueriesOrBuilder(int index);
+
   /**
    *
    *
@@ -424,8 +514,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -438,8 +529,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java
index 44637cc6bbfb..bbff816dab57 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java
@@ -65,43 +65,46 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "pi/field_behavior.proto\032\031google/api/reso"
           + "urce.proto\0320google/cloud/aiplatform/v1/e"
           + "ncryption_spec.proto\032#google/cloud/aipla"
-          + "tform/v1/io.proto\032\034google/protobuf/struc"
-          + "t.proto\032\037google/protobuf/timestamp.proto"
-          + "\"\320\004\n\007Dataset\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
-          + "ay_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\020 \001(\t\022"
-          + " \n\023metadata_schema_uri\030\003 \001(\tB\003\340A\002\022-\n\010met"
-          + "adata\030\010 \001(\0132\026.google.protobuf.ValueB\003\340A\002"
-          + "\0224\n\013create_time\030\004 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\0224\n\013update_time\030\005 \001(\0132\032.go"
-          + "ogle.protobuf.TimestampB\003\340A\003\022\014\n\004etag\030\006 \001"
-          + "(\t\022?\n\006labels\030\007 \003(\0132/.google.cloud.aiplat"
-          + "form.v1.Dataset.LabelsEntry\022C\n\017encryptio"
-          + "n_spec\030\013 \001(\0132*.google.cloud.aiplatform.v"
-          + "1.EncryptionSpec\022\036\n\021metadata_artifact\030\021 "
-          + "\001(\tB\003\340A\003\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005"
-          + "value\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform.googlea"
-          + "pis.com/Dataset\022:projects/{project}/loca"
-          + "tions/{location}/datasets/{dataset}\"\244\003\n\020"
-          + "ImportDataConfig\022;\n\ngcs_source\030\001 \001(\0132%.g"
-          + "oogle.cloud.aiplatform.v1.GcsSourceH\000\022Z\n"
-          + "\020data_item_labels\030\002 \003(\0132@.google.cloud.a"
-          + "iplatform.v1.ImportDataConfig.DataItemLa"
-          + "belsEntry\022]\n\021annotation_labels\030\003 \003(\0132B.g"
-          + "oogle.cloud.aiplatform.v1.ImportDataConf"
-          + "ig.AnnotationLabelsEntry\022\036\n\021import_schem"
-          + "a_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntry\022"
-          + "\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\0327\n\025Annot"
-          + "ationLabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002"
-          + " \001(\t:\0028\001B\010\n\006source\"\204\001\n\020ExportDataConfig\022"
-          + "E\n\017gcs_destination\030\001 \001(\0132*.google.cloud."
-          + "aiplatform.v1.GcsDestinationH\000\022\032\n\022annota"
-          + "tions_filter\030\002 \001(\tB\r\n\013destinationB\320\001\n\036co"
-          + "m.google.cloud.aiplatform.v1B\014DatasetPro"
-          + "toP\001ZDgoogle.golang.org/genproto/googlea"
-          + "pis/cloud/aiplatform/v1;aiplatform\252\002\032Goo"
-          + "gle.Cloud.AIPlatform.V1\312\002\032Google\\Cloud\\A"
-          + "IPlatform\\V1\352\002\035Google::Cloud::AIPlatform"
-          + "::V1b\006proto3"
+          + "tform/v1/io.proto\032,google/cloud/aiplatfo"
+          + "rm/v1/saved_query.proto\032\034google/protobuf"
+          + "/struct.proto\032\037google/protobuf/timestamp"
+          + ".proto\"\217\005\n\007Dataset\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n"
+          + "\014display_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030"
+          + "\020 \001(\t\022 \n\023metadata_schema_uri\030\003 \001(\tB\003\340A\002\022"
+          + "-\n\010metadata\030\010 \001(\0132\026.google.protobuf.Valu"
+          + "eB\003\340A\002\0224\n\013create_time\030\004 \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0224\n\013update_time\030\005 \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\022\014\n\004et"
+          + "ag\030\006 \001(\t\022?\n\006labels\030\007 \003(\0132/.google.cloud."
+          + "aiplatform.v1.Dataset.LabelsEntry\022=\n\rsav"
+          + "ed_queries\030\t \003(\0132&.google.cloud.aiplatfo"
+          + "rm.v1.SavedQuery\022C\n\017encryption_spec\030\013 \001("
+          + "\0132*.google.cloud.aiplatform.v1.Encryptio"
+          + "nSpec\022\036\n\021metadata_artifact\030\021 \001(\tB\003\340A\003\032-\n"
+          + "\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t"
+          + ":\0028\001:b\352A_\n!aiplatform.googleapis.com/Dat"
+          + "aset\022:projects/{project}/locations/{loca"
+          + "tion}/datasets/{dataset}\"\244\003\n\020ImportDataC"
+          + "onfig\022;\n\ngcs_source\030\001 \001(\0132%.google.cloud"
+          + ".aiplatform.v1.GcsSourceH\000\022Z\n\020data_item_"
+          + "labels\030\002 \003(\0132@.google.cloud.aiplatform.v"
+          + "1.ImportDataConfig.DataItemLabelsEntry\022]"
+          + "\n\021annotation_labels\030\003 \003(\0132B.google.cloud"
+          + ".aiplatform.v1.ImportDataConfig.Annotati"
+          + "onLabelsEntry\022\036\n\021import_schema_uri\030\004 \001(\t"
+          + "B\003\340A\002\0325\n\023DataItemLabelsEntry\022\013\n\003key\030\001 \001("
+          + "\t\022\r\n\005value\030\002 \001(\t:\0028\001\0327\n\025AnnotationLabels"
+          + "Entry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n"
+          + "\006source\"\204\001\n\020ExportDataConfig\022E\n\017gcs_dest"
+          + "ination\030\001 \001(\0132*.google.cloud.aiplatform."
+          + "v1.GcsDestinationH\000\022\032\n\022annotations_filte"
+          + "r\030\002 \001(\tB\r\n\013destinationB\320\001\n\036com.google.cl"
+          + "oud.aiplatform.v1B\014DatasetProtoP\001ZDgoogl"
+          + "e.golang.org/genproto/googleapis/cloud/a"
+          + "iplatform/v1;aiplatform\252\002\032Google.Cloud.A"
+          + "IPlatform.V1\312\002\032Google\\Cloud\\AIPlatform\\V"
+          + "1\352\002\035Google::Cloud::AIPlatform::V1b\006proto"
+          + "3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -111,6 +114,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.SavedQueryProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
             });
@@ -129,6 +133,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Etag",
               "Labels",
+              "SavedQueries",
               "EncryptionSpec",
               "MetadataArtifact",
             });
@@ -186,6 +191,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.SavedQueryProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
   }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java
index c0a54a00610e..795e7e9ba5a3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java
@@ -74,7 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -91,7 +92,8 @@ public boolean hasMachineSpec() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -110,7 +112,8 @@ public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -128,8 +131,9 @@ public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuild
    *
    *
    * 
-   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-   * deployed on. This value must be greater than or equal to 1.
+   * Required. Immutable. The minimum number of machine replicas this
+   * DeployedModel will be always deployed on. This value must be greater than
+   * or equal to 1.
    * If traffic against the DeployedModel increases, it may dynamically be
    * deployed onto more replicas, and as traffic decreases, some of these extra
    * replicas may be freed.
@@ -152,14 +156,15 @@ public int getMinReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-   * default value.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, will use
+   * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+   * as the default value.
    * The value of this field impacts the charge against Vertex CPU and GPU
    * quotas. Specifically, you will be charged for (max_replica_count *
    * number of cores in the selected machine type) and (max_replica_count *
@@ -186,19 +191,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -218,19 +226,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -250,19 +261,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -281,19 +295,22 @@ public int getAutoscalingMetricSpecsCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -312,19 +329,22 @@ public com.google.cloud.aiplatform.v1.AutoscalingMetricSpec getAutoscalingMetric
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -806,7 +826,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -822,7 +843,8 @@ public boolean hasMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -844,7 +866,8 @@ public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -868,7 +891,8 @@ public Builder setMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value)
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -890,7 +914,8 @@ public Builder setMachineSpec(
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -918,7 +943,8 @@ public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -940,7 +966,8 @@ public Builder clearMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -956,7 +983,8 @@ public com.google.cloud.aiplatform.v1.MachineSpec.Builder getMachineSpecBuilder(
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -976,7 +1004,8 @@ public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuild
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -1005,8 +1034,9 @@ public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuild
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1026,8 +1056,9 @@ public int getMinReplicaCount() {
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1050,8 +1081,9 @@ public Builder setMinReplicaCount(int value) {
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1075,14 +1107,15 @@ public Builder clearMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1101,14 +1134,15 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1130,14 +1164,15 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1181,19 +1216,22 @@ private void ensureAutoscalingMetricSpecsIsMutable() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1216,19 +1254,22 @@ private void ensureAutoscalingMetricSpecsIsMutable() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1250,19 +1291,22 @@ public int getAutoscalingMetricSpecsCount() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1285,19 +1329,22 @@ public com.google.cloud.aiplatform.v1.AutoscalingMetricSpec getAutoscalingMetric
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1326,19 +1373,22 @@ public Builder setAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1364,19 +1414,22 @@ public Builder setAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1405,19 +1458,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1446,19 +1502,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1484,19 +1543,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1522,19 +1584,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1560,19 +1625,22 @@ public Builder addAllAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1597,19 +1665,22 @@ public Builder clearAutoscalingMetricSpecs() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1634,19 +1705,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1665,19 +1739,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1700,19 +1777,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1735,19 +1815,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1767,19 +1850,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1800,19 +1886,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java
index ca6d18a97820..209064d0d59e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java
@@ -27,7 +27,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -68,8 +71,9 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-   * deployed on. This value must be greater than or equal to 1.
+   * Required. Immutable. The minimum number of machine replicas this
+   * DeployedModel will be always deployed on. This value must be greater than
+   * or equal to 1.
    * If traffic against the DeployedModel increases, it may dynamically be
    * deployed onto more replicas, and as traffic decreases, some of these extra
    * replicas may be freed.
@@ -87,14 +91,15 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-   * default value.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, will use
+   * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+   * as the default value.
    * The value of this field impacts the charge against Vertex CPU and GPU
    * quotas. Specifically, you will be charged for (max_replica_count *
    * number of cores in the selected machine type) and (max_replica_count *
@@ -115,19 +120,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -144,19 +152,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -172,19 +183,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -200,19 +214,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -229,19 +246,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteArtifactRequest.java
index 99deafe13345..81c15cbe261a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
+ * Request message for
+ * [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteArtifactRequest}
@@ -350,7 +351,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
+   * Request message for
+   * [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java
index 5ab3076c39ae..e4a8cca978f1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+ * Request message for
+ * [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+   * Request message for
+   * [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteContextRequest.java
index 18a9f7bf90e6..98fe3998584a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
+ * Request message for
+ * [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteContextRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
+   * Request message for
+   * [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteContextRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java
index a026d7cb072c..0c8597349451 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+ * Request message for
+ * [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteCustomJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+   * Request message for
+   * [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java
index bdeac1ca6a70..b7bfba1e6481 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+ * Request message for
+ * [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+   * Request message for
+   * [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java
index 2aab277d1a5b..2a1eea8b8bde 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+ * Request message for
+ * [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDatasetRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+   * Request message for
+   * [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java
index 52ec07d7d5e4..e365a34ffc8d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+ * Request message for
+ * [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteEndpointRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+   * Request message for
+   * [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteExecutionRequest.java
index e62377fbdbd9..3f851646bc6f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
+ * Request message for
+ * [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteExecutionRequest}
@@ -351,7 +352,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
+   * Request message for
+   * [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeatureRequest.java
index 5bf9d607d04b..9cb9ed21b55e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
+ * Request message for
+ * [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteFeatureRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
+   * Request message for
+   * [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeaturestoreRequest.java
index e04c38aab7b7..09f983e5bbf6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
+ * Request message for
+ * [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteFeaturestoreRequest}
@@ -317,7 +318,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
+   * Request message for
+   * [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteFeaturestoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java
index 1d0ec270cf7c..457305575e77 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+ * Request message for
+ * [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest}
@@ -291,7 +292,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+   * Request message for
+   * [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexEndpointRequest.java
index d86a87aa9a85..6bb75037c92c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteIndexEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexRequest.java
index 1254cfcfaf33..90de3f458080 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
+ * Request message for
+ * [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteIndexRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
+   * Request message for
+   * [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreOperationMetadata.java
index 9e43a2415c9b..713f9fa83d07 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+ * Details of operations that perform
+ * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata}
@@ -286,7 +287,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+   * Details of operations that perform
+   * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequest.java
index 1e43c2d097c5..60794a00b0c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+ * Request message for
+ * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteMetadataStoreRequest}
@@ -136,7 +137,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    * bool force = 2 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.force is deprecated. See
-   *     google/cloud/aiplatform/v1/metadata_service.proto;l=462
+   *     google/cloud/aiplatform/v1/metadata_service.proto;l=490
    * @return The force.
    */
   @java.lang.Override
@@ -318,7 +319,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+   * Request message for
+   * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteMetadataStoreRequest}
@@ -634,7 +636,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.force is deprecated. See
-     *     google/cloud/aiplatform/v1/metadata_service.proto;l=462
+     *     google/cloud/aiplatform/v1/metadata_service.proto;l=490
      * @return The force.
      */
     @java.lang.Override
@@ -652,7 +654,7 @@ public boolean getForce() {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.force is deprecated. See
-     *     google/cloud/aiplatform/v1/metadata_service.proto;l=462
+     *     google/cloud/aiplatform/v1/metadata_service.proto;l=490
      * @param value The force to set.
      * @return This builder for chaining.
      */
@@ -673,7 +675,7 @@ public Builder setForce(boolean value) {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.force is deprecated. See
-     *     google/cloud/aiplatform/v1/metadata_service.proto;l=462
+     *     google/cloud/aiplatform/v1/metadata_service.proto;l=490
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequestOrBuilder.java
index 2edcbafe1ba7..c98aa574eee0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteMetadataStoreRequestOrBuilder.java
@@ -66,7 +66,7 @@ public interface DeleteMetadataStoreRequestOrBuilder
    * bool force = 2 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.force is deprecated. See
-   *     google/cloud/aiplatform/v1/metadata_service.proto;l=462
+   *     google/cloud/aiplatform/v1/metadata_service.proto;l=490
    * @return The force.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java
index e4ae395f6101..3f49520036bc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+ * Request message for
+ * [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelRequest}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+   * Request message for
+   * [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequest.java
index c9e3c5a53dd9..6d406e4ac0c6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
+ * Request message for
+ * [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelVersionRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getName() {
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
+   * Request message for
+   * [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelVersionRequest}
@@ -460,8 +462,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -486,8 +488,8 @@ public java.lang.String getName() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -512,8 +514,8 @@ public com.google.protobuf.ByteString getNameBytes() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -537,8 +539,8 @@ public Builder setName(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -558,8 +560,8 @@ public Builder clearName() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequestOrBuilder.java
index 19da2c64cbca..b2598b3b94d5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelVersionRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface DeleteModelVersionRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -43,8 +43,8 @@ public interface DeleteModelVersionRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeletePipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeletePipelineJobRequest.java
index f4d8dc0ff8da..f9534aaaf904 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeletePipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeletePipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
+ * Request message for
+ * [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeletePipelineJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
+   * Request message for
+   * [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeletePipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java
index 58df7d6f4ace..beafd0fff05a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest}
@@ -315,7 +316,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteStudyRequest.java
index bf8e954553e1..beaf05ec7c7e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
+ * Request message for
+ * [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteStudyRequest}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
+   * Request message for
+   * [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardExperimentRequest.java
index cc49f226756c..d024cd76d004 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardExperimentRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardExperimentRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRequest.java
index 2bc5a6016070..d8a69d9c6879 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
+ * Request message for
+ * [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
+   * Request message for
+   * [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRunRequest.java
index 7e473590dde5..d8ebfed9e999 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardRunRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardRunRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardTimeSeriesRequest.java
index e561926b002e..c1fcfa0ea390 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardTimeSeriesRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTensorboardTimeSeriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java
index efa6db16efb9..4a947ede8a43 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+ * Request message for
+ * [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+   * Request message for
+   * [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrialRequest.java
index 9c6f53a49368..881fbad7adaa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
+ * Request message for
+ * [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrialRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
+   * Request message for
+   * [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexOperationMetadata.java
index fca1351cfecc..ef49e35e3a6d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+ * Runtime operation information for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexOperationMetadata}
@@ -343,7 +344,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+   * Runtime operation information for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequest.java
index 428e372118d8..478a79d64b93 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+ * Request message for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -355,7 +356,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+   * Request message for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexRequest}
@@ -547,8 +549,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -573,8 +575,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -599,8 +601,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -624,8 +626,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -645,8 +647,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequestOrBuilder.java
index 87b2aff8c005..626f47ef313a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface DeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface DeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexResponse.java
index 0bfb10f6dd2e..db7d3950c2af 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+ * Response message for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexResponse}
@@ -281,7 +282,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+   * Response message for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java
index dc07608214da..035e998b0759 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * Runtime operation information for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelOperationMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * Runtime operation information for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java
index 6a41588cfef4..a9fd2909e8a3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * Request message for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelRequest}
@@ -142,8 +143,9 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -162,8 +164,9 @@ public boolean hasDeployedModel() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -184,8 +187,9 @@ public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -232,12 +236,14 @@ public int getTrafficSplitCount() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -262,12 +268,14 @@ public java.util.Map getTrafficSplit() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -283,12 +291,14 @@ public java.util.Map getTrafficSplitMap() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -308,12 +318,14 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -524,7 +536,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * Request message for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelRequest}
@@ -886,8 +899,9 @@ public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -905,8 +919,9 @@ public boolean hasDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -930,8 +945,9 @@ public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -957,8 +973,9 @@ public Builder setDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel val
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -982,8 +999,9 @@ public Builder setDeployedModel(
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1013,8 +1031,9 @@ public Builder mergeDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel v
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1038,8 +1057,9 @@ public Builder clearDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1057,8 +1077,9 @@ public com.google.cloud.aiplatform.v1.DeployedModel.Builder getDeployedModelBuil
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1080,8 +1101,9 @@ public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrB
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1141,12 +1163,14 @@ public int getTrafficSplitCount() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1171,12 +1195,14 @@ public java.util.Map getTrafficSplit() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1192,12 +1218,14 @@ public java.util.Map getTrafficSplitMap() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1217,12 +1245,14 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1250,12 +1280,14 @@ public Builder clearTrafficSplit() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1279,12 +1311,14 @@ public java.util.Map getMutableTrafficSplit
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1304,12 +1338,14 @@ public Builder putTrafficSplit(java.lang.String key, int value) {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. To refer to the ID of the just being deployed Model, a
+     * "0" should be used, and the actual ID of the new DeployedModel will be
+     * filled in its place by this method. The traffic percentage values must add
+     * up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+     * updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java
index 4fe0c0b2f3ef..3b1faee9008d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java
@@ -61,8 +61,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -78,8 +79,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -95,8 +97,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -113,12 +116,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -131,12 +136,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -152,12 +159,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -170,12 +179,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -188,12 +199,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. To refer to the ID of the just being deployed Model, a
+   * "0" should be used, and the actual ID of the new DeployedModel will be
+   * filled in its place by this method. The traffic percentage values must add
+   * up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+   * updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java
index c20b96e70316..c5c72ab5b4f9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * Response message for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelResponse}
@@ -281,7 +282,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * Response message for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndex.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndex.java
index e6418a568706..fda76ef1dbf3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndex.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndex.java
@@ -287,9 +287,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -306,9 +307,10 @@ public boolean hasPrivateEndpoints() {
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -327,9 +329,10 @@ public com.google.cloud.aiplatform.v1.IndexPrivateEndpoints getPrivateEndpoints(
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -348,11 +351,12 @@ public com.google.cloud.aiplatform.v1.IndexPrivateEndpoints getPrivateEndpoints(
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -378,11 +382,12 @@ public boolean hasIndexSyncTime() {
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -410,11 +415,12 @@ public com.google.protobuf.Timestamp getIndexSyncTime() {
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -441,8 +447,8 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -464,8 +470,8 @@ public boolean hasAutomaticResources() {
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -489,8 +495,8 @@ public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources()
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -514,15 +520,19 @@ public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources()
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -539,15 +549,19 @@ public boolean hasDedicatedResources() {
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -566,15 +580,19 @@ public com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources()
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -593,7 +611,8 @@ public com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources()
    *
    *
    * 
-   * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+   * Optional. If true, private endpoint's access logs are sent to StackDriver
+   * Logging.
    * These logs are like standard server access logs, containing
    * information like timestamp and latency for each MatchRequest.
    * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -2053,9 +2072,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2071,9 +2091,10 @@ public boolean hasPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2095,9 +2116,10 @@ public com.google.cloud.aiplatform.v1.IndexPrivateEndpoints getPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2121,9 +2143,10 @@ public Builder setPrivateEndpoints(com.google.cloud.aiplatform.v1.IndexPrivateEn
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2145,9 +2168,10 @@ public Builder setPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2176,9 +2200,10 @@ public Builder mergePrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2200,9 +2225,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2219,9 +2245,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2242,9 +2269,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      * 

      *
      * 
@@ -2278,11 +2306,12 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2307,11 +2336,12 @@ public boolean hasIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2342,11 +2372,12 @@ public com.google.protobuf.Timestamp getIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2379,11 +2410,12 @@ public Builder setIndexSyncTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2413,11 +2445,12 @@ public Builder setIndexSyncTime(com.google.protobuf.Timestamp.Builder builderFor
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2454,11 +2487,12 @@ public Builder mergeIndexSyncTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2489,11 +2523,12 @@ public Builder clearIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2518,11 +2553,12 @@ public com.google.protobuf.Timestamp.Builder getIndexSyncTimeBuilder() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2551,11 +2587,12 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
      * original Index, it means that this DeployedIndex and the original Index are
      * in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
@@ -2598,8 +2635,8 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2620,8 +2657,8 @@ public boolean hasAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2648,8 +2685,8 @@ public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources()
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2678,8 +2715,8 @@ public Builder setAutomaticResources(com.google.cloud.aiplatform.v1.AutomaticRes
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2706,8 +2743,8 @@ public Builder setAutomaticResources(
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2741,8 +2778,8 @@ public Builder mergeAutomaticResources(
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2769,8 +2806,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2792,8 +2829,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2819,8 +2856,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2859,15 +2896,19 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2883,15 +2924,19 @@ public boolean hasDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2913,15 +2958,19 @@ public com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources()
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2945,15 +2994,19 @@ public Builder setDedicatedResources(com.google.cloud.aiplatform.v1.DedicatedRes
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2975,15 +3028,19 @@ public Builder setDedicatedResources(
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3012,15 +3069,19 @@ public Builder mergeDedicatedResources(
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3042,15 +3103,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3067,15 +3132,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3096,15 +3165,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3133,7 +3206,8 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -3153,7 +3227,8 @@ public boolean getEnableAccessLogging() {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -3176,7 +3251,8 @@ public Builder setEnableAccessLogging(boolean value) {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndexOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndexOrBuilder.java
index c361f848b4c2..f3b6d45ca45f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndexOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedIndexOrBuilder.java
@@ -154,9 +154,10 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -170,9 +171,10 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -186,9 +188,10 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
    * 

    *
    * 
@@ -201,11 +204,12 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -228,11 +232,12 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -255,11 +260,12 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
    * original Index, it means that this DeployedIndex and the original Index are
    * in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
@@ -281,8 +287,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -301,8 +307,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -321,8 +327,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -340,15 +346,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -362,15 +372,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -384,15 +398,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -405,7 +423,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+   * Optional. If true, private endpoint's access logs are sent to StackDriver
+   * Logging.
    * These logs are like standard server access logs, containing
    * information like timestamp and latency for each MatchRequest.
    * Note that Stackdriver logs may incur a cost, especially if the deployed
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java
index 20547af87fa4..2157c35a1095 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java
@@ -234,8 +234,8 @@ public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources()
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -259,8 +259,8 @@ public java.lang.String getId() {
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -287,8 +287,9 @@ public com.google.protobuf.ByteString getIdBytes() {
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -315,8 +316,9 @@ public java.lang.String getModel() {
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -496,13 +498,21 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -518,13 +528,21 @@ public boolean hasExplanationSpec() {
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -542,13 +560,21 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -668,9 +694,10 @@ public boolean getEnableAccessLogging() {
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -687,9 +714,10 @@ public boolean hasPrivateEndpoints() {
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -708,9 +736,10 @@ public com.google.cloud.aiplatform.v1.PrivateEndpoints getPrivateEndpoints() {
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -1845,8 +1874,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -1869,8 +1898,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -1893,8 +1922,8 @@ public com.google.protobuf.ByteString getIdBytes() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -1916,8 +1945,8 @@ public Builder setId(java.lang.String value) {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -1935,8 +1964,8 @@ public Builder clearId() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -1961,8 +1990,9 @@ public Builder setIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -1988,8 +2018,9 @@ public java.lang.String getModel() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2015,8 +2046,9 @@ public com.google.protobuf.ByteString getModelBytes() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2041,8 +2073,9 @@ public Builder setModel(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2063,8 +2096,9 @@ public Builder clearModel() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2516,13 +2550,21 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2537,13 +2579,21 @@ public boolean hasExplanationSpec() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2564,13 +2614,21 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2593,13 +2651,21 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSpec
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2620,13 +2686,21 @@ public Builder setExplanationSpec(
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2653,13 +2727,21 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSp
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2680,13 +2762,21 @@ public Builder clearExplanationSpec() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2701,13 +2791,21 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec.Builder getExplanationSpec
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -2726,13 +2824,21 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOrBuilder getExplanationSpe
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -3026,9 +3132,10 @@ public Builder clearEnableAccessLogging() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3044,9 +3151,10 @@ public boolean hasPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3068,9 +3176,10 @@ public com.google.cloud.aiplatform.v1.PrivateEndpoints getPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3094,9 +3203,10 @@ public Builder setPrivateEndpoints(com.google.cloud.aiplatform.v1.PrivateEndpoin
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3118,9 +3228,10 @@ public Builder setPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3148,9 +3259,10 @@ public Builder mergePrivateEndpoints(com.google.cloud.aiplatform.v1.PrivateEndpo
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3172,9 +3284,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3190,9 +3303,10 @@ public com.google.cloud.aiplatform.v1.PrivateEndpoints.Builder getPrivateEndpoin
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3212,9 +3326,10 @@ public com.google.cloud.aiplatform.v1.PrivateEndpointsOrBuilder getPrivateEndpoi
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java
index 8cca8035fc45..d8f5298d7dd4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java
@@ -103,8 +103,8 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -117,8 +117,8 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -132,8 +132,9 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -149,8 +150,9 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -258,13 +260,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -277,13 +287,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -296,13 +314,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;
@@ -383,9 +409,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -399,9 +426,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -415,9 +443,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java
index 03761a5959d1..9172b75b4165 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java
@@ -74,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -101,8 +101,8 @@ public java.lang.String getKmsKeyName() {
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -460,8 +460,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -486,8 +486,8 @@ public java.lang.String getKmsKeyName() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -512,8 +512,8 @@ public com.google.protobuf.ByteString getKmsKeyNameBytes() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -537,8 +537,8 @@ public Builder setKmsKeyName(java.lang.String value) {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -558,8 +558,8 @@ public Builder clearKmsKeyName() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java
index 27deda3a370b..a3f7e6fdfc80 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface EncryptionSpecOrBuilder
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -43,8 +43,8 @@ public interface EncryptionSpecOrBuilder
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java
index 7f878e48c063..d29981072546 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java
@@ -245,8 +245,11 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -262,8 +265,11 @@ public java.util.List getDeployedM
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -280,8 +286,11 @@ public java.util.List getDeployedM
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -297,8 +306,11 @@ public int getDeployedModelsCount() {
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -314,8 +326,11 @@ public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModels(int index)
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -776,7 +791,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -810,7 +826,8 @@ public java.lang.String getNetwork() {
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -843,7 +860,8 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    * 
    * Deprecated: If true, expose the Endpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -851,7 +869,7 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    * bool enable_private_service_connect = 17 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect is deprecated.
-   *     See google/cloud/aiplatform/v1/endpoint.proto;l=116
+   *     See google/cloud/aiplatform/v1/endpoint.proto;l=124
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Override
@@ -866,9 +884,9 @@ public boolean getEnablePrivateServiceConnect() {
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -894,9 +912,9 @@ public java.lang.String getModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -2091,8 +2109,11 @@ private void ensureDeployedModelsIsMutable() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2111,8 +2132,11 @@ public java.util.List getDeployedM
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2131,8 +2155,11 @@ public int getDeployedModelsCount() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2151,8 +2178,11 @@ public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModels(int index)
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2178,8 +2208,11 @@ public Builder setDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2202,8 +2235,11 @@ public Builder setDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2228,8 +2264,11 @@ public Builder addDeployedModels(com.google.cloud.aiplatform.v1.DeployedModel va
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2255,8 +2294,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2279,8 +2321,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2303,8 +2348,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2327,8 +2375,11 @@ public Builder addAllDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2350,8 +2401,11 @@ public Builder clearDeployedModels() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2373,8 +2427,11 @@ public Builder removeDeployedModels(int index) {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2390,8 +2447,11 @@ public com.google.cloud.aiplatform.v1.DeployedModel.Builder getDeployedModelsBui
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2411,8 +2471,11 @@ public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelsOr
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2432,8 +2495,11 @@ public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelsOr
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2449,8 +2515,11 @@ public com.google.cloud.aiplatform.v1.DeployedModel.Builder addDeployedModelsBui
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2467,8 +2536,11 @@ public com.google.cloud.aiplatform.v1.DeployedModel.Builder addDeployedModelsBui
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -3605,7 +3677,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3638,7 +3711,8 @@ public java.lang.String getNetwork() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3671,7 +3745,8 @@ public com.google.protobuf.ByteString getNetworkBytes() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3703,7 +3778,8 @@ public Builder setNetwork(java.lang.String value) {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3731,7 +3807,8 @@ public Builder clearNetwork() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3762,7 +3839,8 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3770,7 +3848,7 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect is deprecated.
-     *     See google/cloud/aiplatform/v1/endpoint.proto;l=116
+     *     See google/cloud/aiplatform/v1/endpoint.proto;l=124
      * @return The enablePrivateServiceConnect.
      */
     @java.lang.Override
@@ -3783,7 +3861,8 @@ public boolean getEnablePrivateServiceConnect() {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3791,7 +3870,7 @@ public boolean getEnablePrivateServiceConnect() {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect is deprecated.
-     *     See google/cloud/aiplatform/v1/endpoint.proto;l=116
+     *     See google/cloud/aiplatform/v1/endpoint.proto;l=124
      * @param value The enablePrivateServiceConnect to set.
      * @return This builder for chaining.
      */
@@ -3807,7 +3886,8 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3815,7 +3895,7 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect is deprecated.
-     *     See google/cloud/aiplatform/v1/endpoint.proto;l=116
+     *     See google/cloud/aiplatform/v1/endpoint.proto;l=124
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3831,9 +3911,9 @@ public Builder clearEnablePrivateServiceConnect() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3858,9 +3938,9 @@ public java.lang.String getModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3885,9 +3965,9 @@ public com.google.protobuf.ByteString getModelDeploymentMonitoringJobBytes() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3911,9 +3991,9 @@ public Builder setModelDeploymentMonitoringJob(java.lang.String value) {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3933,9 +4013,9 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java
index ba6b18ee13b4..816f8c320181 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java
@@ -107,8 +107,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -121,8 +124,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -135,8 +141,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -149,8 +158,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -164,8 +176,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -485,7 +500,8 @@ java.lang.String getLabelsOrDefault(
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -508,7 +524,8 @@ java.lang.String getLabelsOrDefault(
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -528,7 +545,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Deprecated: If true, expose the Endpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -536,7 +554,7 @@ java.lang.String getLabelsOrDefault(
    * bool enable_private_service_connect = 17 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect is deprecated.
-   *     See google/cloud/aiplatform/v1/endpoint.proto;l=116
+   *     See google/cloud/aiplatform/v1/endpoint.proto;l=124
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Deprecated
@@ -546,9 +564,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -563,9 +581,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityType.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityType.java
index 007bfb94b5b0..69f5226027f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityType.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityType.java
@@ -319,7 +319,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -349,7 +350,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -370,7 +372,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -395,7 +398,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -426,8 +430,8 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -450,8 +454,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -477,9 +481,10 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -500,9 +505,10 @@ public boolean hasMonitoringConfig() {
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -525,9 +531,10 @@ public com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig getMonitoring
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -1750,7 +1757,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1780,7 +1788,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1801,7 +1810,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1827,7 +1837,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1860,7 +1871,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1889,7 +1901,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1917,7 +1930,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1940,8 +1954,8 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1963,8 +1977,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1986,8 +2000,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2008,8 +2022,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2026,8 +2040,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2056,9 +2070,10 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2078,9 +2093,10 @@ public boolean hasMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2106,9 +2122,10 @@ public com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig getMonitoring
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2137,9 +2154,10 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2165,9 +2183,10 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2201,9 +2220,10 @@ public Builder mergeMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2229,9 +2249,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2252,9 +2273,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2279,9 +2301,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityTypeOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityTypeOrBuilder.java
index 48be04ab158c..4b5eed5403e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityTypeOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EntityTypeOrBuilder.java
@@ -165,7 +165,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -183,7 +184,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -204,7 +206,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -222,7 +225,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -245,7 +249,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -264,8 +269,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -277,8 +282,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -291,9 +296,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -311,9 +317,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -331,9 +338,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequest.java
index 75fe67cf84c4..ef088676cdfc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+ * Request message for
+ * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExplainRequest}
@@ -246,7 +247,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -264,7 +266,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -282,7 +285,8 @@ public com.google.protobuf.Value getParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -301,9 +305,9 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -323,9 +327,9 @@ public boolean hasExplanationSpecOverride() {
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -347,9 +351,9 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOverride getExplanationSpec
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -371,7 +375,8 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOverride getExplanationSpec
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -395,7 +400,8 @@ public java.lang.String getDeployedModelId() {
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -627,7 +633,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * Request message for
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExplainRequest}
@@ -1566,7 +1573,8 @@ public java.util.List getInstancesBuilderList
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1583,7 +1591,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1604,7 +1613,8 @@ public com.google.protobuf.Value getParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1629,7 +1639,8 @@ public Builder setParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1651,7 +1662,8 @@ public Builder setParameters(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1678,7 +1690,8 @@ public Builder mergeParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1701,7 +1714,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1718,7 +1732,8 @@ public com.google.protobuf.Value.Builder getParametersBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1737,7 +1752,8 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1772,9 +1788,9 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1794,9 +1810,9 @@ public boolean hasExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1822,9 +1838,9 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOverride getExplanationSpec
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1853,9 +1869,9 @@ public Builder setExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1881,9 +1897,9 @@ public Builder setExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1917,9 +1933,9 @@ public Builder mergeExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1945,9 +1961,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1968,9 +1984,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1995,9 +2011,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -2030,7 +2046,8 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2053,7 +2070,8 @@ public java.lang.String getDeployedModelId() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2076,7 +2094,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2098,7 +2117,8 @@ public Builder setDeployedModelId(java.lang.String value) {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2116,7 +2136,8 @@ public Builder clearDeployedModelId() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequestOrBuilder.java
index b9e22572801c..3326ab7e7af5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainRequestOrBuilder.java
@@ -157,7 +157,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -172,7 +173,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -187,7 +189,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -201,9 +204,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -220,9 +223,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -239,9 +242,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -258,7 +261,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -271,7 +275,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponse.java
index 060692209a7a..ad7e8be4dd9e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+ * Response message for
+ * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExplainResponse}
@@ -75,9 +76,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -90,9 +93,11 @@ public java.util.List getExplanation
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -106,9 +111,11 @@ public java.util.List getExplanation
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -121,9 +128,11 @@ public int getExplanationsCount() {
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -136,9 +145,11 @@ public com.google.cloud.aiplatform.v1.Explanation getExplanations(int index) {
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -204,7 +215,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -218,7 +230,8 @@ public java.util.List getPredictionsList() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -233,7 +246,8 @@ public java.util.List getPredictionsList() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -247,7 +261,8 @@ public int getPredictionsCount() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -261,7 +276,8 @@ public com.google.protobuf.Value getPredictions(int index) {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -456,7 +472,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * Response message for
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExplainResponse}
@@ -757,9 +774,11 @@ private void ensureExplanationsIsMutable() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -775,9 +794,11 @@ public java.util.List getExplanation
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -793,9 +814,11 @@ public int getExplanationsCount() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -811,9 +834,11 @@ public com.google.cloud.aiplatform.v1.Explanation getExplanations(int index) {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -835,9 +860,11 @@ public Builder setExplanations(int index, com.google.cloud.aiplatform.v1.Explana
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -857,9 +884,11 @@ public Builder setExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -881,9 +910,11 @@ public Builder addExplanations(com.google.cloud.aiplatform.v1.Explanation value)
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -905,9 +936,11 @@ public Builder addExplanations(int index, com.google.cloud.aiplatform.v1.Explana
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -927,9 +960,11 @@ public Builder addExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -949,9 +984,11 @@ public Builder addExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -971,9 +1008,11 @@ public Builder addAllExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -992,9 +1031,11 @@ public Builder clearExplanations() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1013,9 +1054,11 @@ public Builder removeExplanations(int index) {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1027,9 +1070,11 @@ public com.google.cloud.aiplatform.v1.Explanation.Builder getExplanationsBuilder
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1045,9 +1090,11 @@ public com.google.cloud.aiplatform.v1.ExplanationOrBuilder getExplanationsOrBuil
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1064,9 +1111,11 @@ public com.google.cloud.aiplatform.v1.ExplanationOrBuilder getExplanationsOrBuil
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1079,9 +1128,11 @@ public com.google.cloud.aiplatform.v1.Explanation.Builder addExplanationsBuilder
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1094,9 +1145,11 @@ public com.google.cloud.aiplatform.v1.Explanation.Builder addExplanationsBuilder
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -1250,7 +1303,8 @@ private void ensurePredictionsIsMutable() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1267,7 +1321,8 @@ public java.util.List getPredictionsList() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1284,7 +1339,8 @@ public int getPredictionsCount() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1301,7 +1357,8 @@ public com.google.protobuf.Value getPredictions(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1324,7 +1381,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1344,7 +1402,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value.Builder build
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1367,7 +1426,8 @@ public Builder addPredictions(com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1390,7 +1450,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1410,7 +1471,8 @@ public Builder addPredictions(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1430,7 +1492,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value.Builder build
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1451,7 +1514,8 @@ public Builder addAllPredictions(
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1471,7 +1535,8 @@ public Builder clearPredictions() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1491,7 +1556,8 @@ public Builder removePredictions(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1504,7 +1570,8 @@ public com.google.protobuf.Value.Builder getPredictionsBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1521,7 +1588,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1539,7 +1607,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1553,7 +1622,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1567,7 +1637,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponseOrBuilder.java
index b94ee19c1af0..938377256cd1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplainResponseOrBuilder.java
@@ -27,9 +27,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -39,9 +41,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -51,9 +55,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -63,9 +69,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -76,9 +84,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1.Explanation explanations = 1;
@@ -115,7 +125,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -126,7 +137,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -137,7 +149,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -148,7 +161,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -159,7 +173,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Explanation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Explanation.java
index ce3d62bf3678..520644b7bdb5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Explanation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Explanation.java
@@ -22,8 +22,10 @@
  *
  *
  * 
- * Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
- * produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
+ * Explanation of a prediction (provided in
+ * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
+ * produced by the Model on a given
+ * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.Explanation}
@@ -80,13 +82,18 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -106,13 +113,18 @@ public java.util.List getAttribution
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -133,13 +145,18 @@ public java.util.List getAttribution
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -159,13 +176,18 @@ public int getAttributionsCount() {
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -185,13 +207,18 @@ public com.google.cloud.aiplatform.v1.Attribution getAttributions(int index) {
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -468,8 +495,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
-   * produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
+   * Explanation of a prediction (provided in
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
+   * produced by the Model on a given
+   * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.Explanation}
@@ -763,13 +792,18 @@ private void ensureAttributionsIsMutable() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -792,13 +826,18 @@ public java.util.List getAttribution
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -821,13 +860,18 @@ public int getAttributionsCount() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -850,13 +894,18 @@ public com.google.cloud.aiplatform.v1.Attribution getAttributions(int index) {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -885,13 +934,18 @@ public Builder setAttributions(int index, com.google.cloud.aiplatform.v1.Attribu
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -918,13 +972,18 @@ public Builder setAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -953,13 +1012,18 @@ public Builder addAttributions(com.google.cloud.aiplatform.v1.Attribution value)
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -988,13 +1052,18 @@ public Builder addAttributions(int index, com.google.cloud.aiplatform.v1.Attribu
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1021,13 +1090,18 @@ public Builder addAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1054,13 +1128,18 @@ public Builder addAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1087,13 +1166,18 @@ public Builder addAllAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1119,13 +1203,18 @@ public Builder clearAttributions() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1151,13 +1240,18 @@ public Builder removeAttributions(int index) {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1176,13 +1270,18 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder getAttributionsBuilder
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1205,13 +1304,18 @@ public com.google.cloud.aiplatform.v1.AttributionOrBuilder getAttributionsOrBuil
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1235,13 +1339,18 @@ public com.google.cloud.aiplatform.v1.AttributionOrBuilder getAttributionsOrBuil
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1261,13 +1370,18 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder addAttributionsBuilder
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1287,13 +1401,18 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder addAttributionsBuilder
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadata.java
index d74bed6baec7..b991594c0c25 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadata.java
@@ -93,15 +93,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -116,15 +117,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -139,15 +141,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -162,15 +165,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -185,15 +189,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -396,8 +401,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -410,8 +416,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -424,8 +431,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -439,8 +447,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -456,9 +465,11 @@ public interface InputMetadataOrBuilder
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -474,9 +485,11 @@ public interface InputMetadataOrBuilder
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -604,7 +617,8 @@ public interface InputMetadataOrBuilder
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -620,7 +634,8 @@ public interface InputMetadataOrBuilder
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -634,8 +649,10 @@ public interface InputMetadataOrBuilder
    *
    * 
    * Metadata of the input of a feature.
-   * Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-   * for Models that are using Vertex AI-provided images for Tensorflow.
+   * Fields other than
+   * [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines]
+   * are applicable only for Models that are using Vertex AI-provided images for
+   * Tensorflow.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata}
@@ -724,8 +741,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor represents a bag of features where each index maps to
-       * a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-       * this encoding. For example:
+       * a feature.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [27, 6.0, 150]
        * index_feature_mapping = ["age", "height", "weight"]
@@ -741,8 +759,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * The tensor represents a bag of features where each index maps to a
        * feature. Zero values in the tensor indicates feature being
-       * non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-       * for this encoding. For example:
+       * non-existent.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [2, 0, 5, 0, 1]
        * index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -757,7 +776,8 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is a list of binaries representing whether a feature exists
-       * or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * or not (1 indicates existence).
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
        * must be provided for this encoding. For example:
        * ```
        * input = [1, 0, 1, 0, 1]
@@ -773,8 +793,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is encoded into a 1-dimensional array represented by an
-       * encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-       * for this encoding. For example:
+       * encoded tensor.
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -790,9 +811,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * Select this encoding when the input tensor is encoded into a
        * 2-dimensional array represented by an encoded tensor.
-       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-       * encoding. The first dimension of the encoded tensor's shape is the same
-       * as the input tensor's shape. For example:
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. The first dimension of the encoded
+       * tensor's shape is the same as the input tensor's shape. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -834,8 +855,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor represents a bag of features where each index maps to
-       * a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-       * this encoding. For example:
+       * a feature.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [27, 6.0, 150]
        * index_feature_mapping = ["age", "height", "weight"]
@@ -851,8 +873,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * The tensor represents a bag of features where each index maps to a
        * feature. Zero values in the tensor indicates feature being
-       * non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-       * for this encoding. For example:
+       * non-existent.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [2, 0, 5, 0, 1]
        * index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -867,7 +890,8 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is a list of binaries representing whether a feature exists
-       * or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * or not (1 indicates existence).
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
        * must be provided for this encoding. For example:
        * ```
        * input = [1, 0, 1, 0, 1]
@@ -883,8 +907,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is encoded into a 1-dimensional array represented by an
-       * encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-       * for this encoding. For example:
+       * encoded tensor.
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -900,9 +925,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * Select this encoding when the input tensor is encoded into a
        * 2-dimensional array represented by an encoded tensor.
-       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-       * encoding. The first dimension of the encoded tensor's shape is the same
-       * as the input tensor's shape. For example:
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. The first dimension of the encoded
+       * tensor's shape is the same as the input tensor's shape. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -1957,7 +1982,8 @@ public interface VisualizationOrBuilder
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -1974,7 +2000,8 @@ public interface VisualizationOrBuilder
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -2025,11 +2052,13 @@ public interface VisualizationOrBuilder
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -2046,11 +2075,13 @@ public interface VisualizationOrBuilder
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -2188,7 +2219,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
        * 

        *
        * Protobuf enum {@code
@@ -3010,7 +3042,8 @@ private OverlayType(int value) {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -3030,7 +3063,8 @@ public int getTypeValue() {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -3110,11 +3144,13 @@ public int getPolarityValue() {
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -3134,11 +3170,13 @@ public int getColorMapValue() {
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -3752,7 +3790,8 @@ public Builder mergeFrom(
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3772,7 +3811,8 @@ public int getTypeValue() {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3795,7 +3835,8 @@ public Builder setTypeValue(int value) {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3824,7 +3865,8 @@ public Builder setTypeValue(int value) {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3852,7 +3894,8 @@ public Builder setType(
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3992,11 +4035,13 @@ public Builder clearPolarity() {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4016,11 +4061,13 @@ public int getColorMapValue() {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4043,11 +4090,13 @@ public Builder setColorMapValue(int value) {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4077,11 +4126,13 @@ public Builder setColorMapValue(int value) {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4109,11 +4160,13 @@ public Builder setColorMap(
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4448,15 +4501,16 @@ public com.google.protobuf.Parser getParserForType() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -4474,15 +4528,16 @@ public java.util.List getInputBaselinesList() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -4501,15 +4556,16 @@ public java.util.List getInputBaselinesList() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -4527,15 +4583,16 @@ public int getInputBaselinesCount() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -4553,15 +4610,16 @@ public com.google.protobuf.Value getInputBaselines(int index) {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
-     * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+     * schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      * 

@@ -4895,8 +4953,9 @@ public com.google.protobuf.ByteString getDenseShapeTensorNameBytes() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4911,8 +4970,9 @@ public com.google.protobuf.ProtocolStringList getIndexFeatureMappingList() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4927,8 +4987,9 @@ public int getIndexFeatureMappingCount() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4944,8 +5005,9 @@ public java.lang.String getIndexFeatureMapping(int index) {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4965,9 +5027,11 @@ public com.google.protobuf.ByteString getIndexFeatureMappingBytes(int index) {
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -4994,9 +5058,11 @@ public java.lang.String getEncodedTensorName() {
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -5170,7 +5236,8 @@ public boolean hasVisualization() {
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -5197,7 +5264,8 @@ public java.lang.String getGroupName() {
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -5513,8 +5581,10 @@ protected Builder newBuilderForType(
      *
      * 
      * Metadata of the input of a feature.
-     * Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-     * for Models that are using Vertex AI-provided images for Tensorflow.
+     * Fields other than
+     * [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines]
+     * are applicable only for Models that are using Vertex AI-provided images for
+     * Tensorflow.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata}
@@ -5968,15 +6038,16 @@ private void ensureInputBaselinesIsMutable() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -5997,15 +6068,16 @@ public java.util.List getInputBaselinesList() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6026,15 +6098,16 @@ public int getInputBaselinesCount() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6055,15 +6128,16 @@ public com.google.protobuf.Value getInputBaselines(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6090,15 +6164,16 @@ public Builder setInputBaselines(int index, com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6123,15 +6198,16 @@ public Builder setInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6158,15 +6234,16 @@ public Builder addInputBaselines(com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6193,15 +6270,16 @@ public Builder addInputBaselines(int index, com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6225,15 +6303,16 @@ public Builder addInputBaselines(com.google.protobuf.Value.Builder builderForVal
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6258,15 +6337,16 @@ public Builder addInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6291,15 +6371,16 @@ public Builder addAllInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6323,15 +6404,16 @@ public Builder clearInputBaselines() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6355,15 +6437,16 @@ public Builder removeInputBaselines(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6380,15 +6463,16 @@ public com.google.protobuf.Value.Builder getInputBaselinesBuilder(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6409,15 +6493,16 @@ public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index)
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6439,15 +6524,16 @@ public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index)
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6465,15 +6551,16 @@ public com.google.protobuf.Value.Builder addInputBaselinesBuilder() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -6491,15 +6578,16 @@ public com.google.protobuf.Value.Builder addInputBaselinesBuilder(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
-       * [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+       * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+       * schema of any single instance may be specified via Endpoint's
+       * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
        * 

@@ -7344,8 +7432,9 @@ private void ensureIndexFeatureMappingIsMutable() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7360,8 +7449,9 @@ public com.google.protobuf.ProtocolStringList getIndexFeatureMappingList() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7376,8 +7466,9 @@ public int getIndexFeatureMappingCount() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7393,8 +7484,9 @@ public java.lang.String getIndexFeatureMapping(int index) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7410,8 +7502,9 @@ public com.google.protobuf.ByteString getIndexFeatureMappingBytes(int index) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7434,8 +7527,9 @@ public Builder setIndexFeatureMapping(int index, java.lang.String value) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7457,8 +7551,9 @@ public Builder addIndexFeatureMapping(java.lang.String value) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7477,8 +7572,9 @@ public Builder addAllIndexFeatureMapping(java.lang.Iterable va
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7496,8 +7592,9 @@ public Builder clearIndexFeatureMapping() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7523,9 +7620,11 @@ public Builder addIndexFeatureMappingBytes(com.google.protobuf.ByteString value)
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7551,9 +7650,11 @@ public java.lang.String getEncodedTensorName() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7579,9 +7680,11 @@ public com.google.protobuf.ByteString getEncodedTensorNameBytes() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7606,9 +7709,11 @@ public Builder setEncodedTensorName(java.lang.String value) {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7629,9 +7734,11 @@ public Builder clearEncodedTensorName() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -8286,7 +8393,8 @@ public Builder clearVisualization() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8312,7 +8420,8 @@ public java.lang.String getGroupName() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8338,7 +8447,8 @@ public com.google.protobuf.ByteString getGroupNameBytes() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8363,7 +8473,8 @@ public Builder setGroupName(java.lang.String value) {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8384,7 +8495,8 @@ public Builder clearGroupName() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8487,8 +8599,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8508,8 +8622,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8529,8 +8645,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8544,8 +8662,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8560,8 +8679,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8576,8 +8696,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8725,8 +8846,10 @@ public DisplayNameMappingCase getDisplayNameMappingCase() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8749,8 +8872,10 @@ public boolean hasIndexDisplayNameMapping() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8776,8 +8901,10 @@ public com.google.protobuf.Value getIndexDisplayNameMapping() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8798,8 +8925,9 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8816,8 +8944,9 @@ public boolean hasDisplayNameMappingKey() {
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8847,8 +8976,9 @@ public java.lang.String getDisplayNameMappingKey() {
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -9382,8 +9512,10 @@ public Builder clearDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9406,8 +9538,10 @@ public boolean hasIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9440,8 +9574,10 @@ public com.google.protobuf.Value getIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9471,8 +9607,10 @@ public Builder setIndexDisplayNameMapping(com.google.protobuf.Value value) {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9499,8 +9637,10 @@ public Builder setIndexDisplayNameMapping(com.google.protobuf.Value.Builder buil
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9540,8 +9680,10 @@ public Builder mergeIndexDisplayNameMapping(com.google.protobuf.Value value) {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9574,8 +9716,10 @@ public Builder clearIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9595,8 +9739,10 @@ public com.google.protobuf.Value.Builder getIndexDisplayNameMappingBuilder() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9624,8 +9770,10 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9662,8 +9810,9 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9681,8 +9830,9 @@ public boolean hasDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9713,8 +9863,9 @@ public java.lang.String getDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9745,8 +9896,9 @@ public com.google.protobuf.ByteString getDisplayNameMappingKeyBytes() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9770,8 +9922,9 @@ public Builder setDisplayNameMappingKey(java.lang.String value) {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9793,8 +9946,9 @@ public Builder clearDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -10030,15 +10184,16 @@ public int getInputsCount() {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -10066,15 +10221,16 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -10093,15 +10249,16 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -10126,15 +10283,16 @@ public com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata getInput
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -10312,7 +10470,8 @@ public com.google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata getOutp
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -10342,7 +10501,8 @@ public java.lang.String getFeatureAttributionsSchemaUri() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -10909,15 +11069,16 @@ public int getInputsCount() {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -10945,15 +11106,16 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -10972,15 +11134,16 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -11005,15 +11168,16 @@ public com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata getInput
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -11045,15 +11209,16 @@ public Builder clearInputs() {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -11080,15 +11245,16 @@ public Builder removeInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -11114,15 +11280,16 @@ public Builder putInputs(
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
      * 

@@ -11374,7 +11541,8 @@ public Builder putAllOutputs(
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11403,7 +11571,8 @@ public java.lang.String getFeatureAttributionsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11432,7 +11601,8 @@ public com.google.protobuf.ByteString getFeatureAttributionsSchemaUriBytes() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11460,7 +11630,8 @@ public Builder setFeatureAttributionsSchemaUri(java.lang.String value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11484,7 +11655,8 @@ public Builder clearFeatureAttributionsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOrBuilder.java
index 3a612f0531e2..e707a16d50dd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOrBuilder.java
@@ -27,15 +27,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -49,15 +50,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -75,15 +77,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -98,15 +101,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -125,15 +129,16 @@ com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata getInputsOrDefa
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    * 

@@ -247,7 +252,8 @@ com.google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata getOutputsOrTh
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -266,7 +272,8 @@ com.google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata getOutputsOrTh
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverride.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverride.java
index a14219d1d0ff..e0f6d4028ada 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverride.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverride.java
@@ -22,8 +22,9 @@
  *
  *
  * 
- * The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
- * [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+ * The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
+ * entries that can be overridden at [online
+ * explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationMetadataOverride}
@@ -157,8 +158,9 @@ public interface InputMetadataOverrideOrBuilder
    *
    *
    * 
-   * The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
-   * overridden.
+   * The [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
+   * entries to be overridden.
    * 

    *
    * Protobuf type {@code
@@ -471,8 +473,9 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
-     * overridden.
+     * The [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
+     * entries to be overridden.
      * 

      *
      * Protobuf type {@code
@@ -1238,11 +1241,12 @@ public int getInputsCount() {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1269,11 +1273,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1291,11 +1296,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1321,11 +1327,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1525,8 +1532,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
-   * [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+   * The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
+   * entries that can be overridden at [online
+   * explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationMetadataOverride}
@@ -1759,11 +1767,12 @@ public int getInputsCount() {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1790,11 +1799,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1812,11 +1822,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1842,11 +1853,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1877,11 +1889,12 @@ public Builder clearInputs() {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1907,11 +1920,12 @@ public Builder removeInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1935,11 +1949,12 @@ public Builder putInputs(
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+     * features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverrideOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverrideOrBuilder.java
index 76f6ff392d83..eff6daf642f7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverrideOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationMetadataOverrideOrBuilder.java
@@ -27,11 +27,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -43,11 +44,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -65,11 +67,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -84,11 +87,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -107,11 +111,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+   * features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationOrBuilder.java
index c4976b70b8a5..d0d7a4f26b68 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationOrBuilder.java
@@ -32,13 +32,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -55,13 +60,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -78,13 +88,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -101,13 +116,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -125,13 +145,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParameters.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParameters.java
index ff27a388426d..b2106bb5a2cb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParameters.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParameters.java
@@ -344,12 +344,13 @@ public int getTopK() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -367,12 +368,13 @@ public boolean hasOutputIndices() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -392,12 +394,13 @@ public com.google.protobuf.ListValue getOutputIndices() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -1768,12 +1771,13 @@ public Builder clearTopK() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1790,12 +1794,13 @@ public boolean hasOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1818,12 +1823,13 @@ public com.google.protobuf.ListValue getOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1848,12 +1854,13 @@ public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1875,12 +1882,13 @@ public Builder setOutputIndices(com.google.protobuf.ListValue.Builder builderFor
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1909,12 +1917,13 @@ public Builder mergeOutputIndices(com.google.protobuf.ListValue value) {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1937,12 +1946,13 @@ public Builder clearOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1959,12 +1969,13 @@ public com.google.protobuf.ListValue.Builder getOutputIndicesBuilder() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -1985,12 +1996,13 @@ public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+     * outputs. If neither top_k nor output_indices is populated, returns the
+     * argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParametersOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParametersOrBuilder.java
index 0d021ca6a764..9365329d9cb1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParametersOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationParametersOrBuilder.java
@@ -196,12 +196,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -216,12 +217,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -236,12 +238,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+   * outputs. If neither top_k nor output_indices is populated, returns the
+   * argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverride.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverride.java
index a259f77cad33..4035e351db66 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverride.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverride.java
@@ -22,8 +22,9 @@
  *
  *
  * 
- * The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
- * [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+ * The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
+ * that can be overridden at [online
+ * explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationSpecOverride}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -90,8 +91,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -109,8 +110,8 @@ public com.google.cloud.aiplatform.v1.ExplanationParameters getParameters() {
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -414,8 +415,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
-   * [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+   * The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
+   * that can be overridden at [online
+   * explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExplanationSpecOverride}
@@ -641,8 +643,8 @@ public Builder mergeFrom(
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -657,8 +659,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -679,8 +681,8 @@ public com.google.cloud.aiplatform.v1.ExplanationParameters getParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -703,8 +705,8 @@ public Builder setParameters(com.google.cloud.aiplatform.v1.ExplanationParameter
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -725,8 +727,8 @@ public Builder setParameters(
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -753,8 +755,8 @@ public Builder mergeParameters(com.google.cloud.aiplatform.v1.ExplanationParamet
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -775,8 +777,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -791,8 +793,8 @@ public com.google.cloud.aiplatform.v1.ExplanationParameters.Builder getParameter
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -811,8 +813,8 @@ public com.google.cloud.aiplatform.v1.ExplanationParametersOrBuilder getParamete
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+     * changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverrideOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverrideOrBuilder.java
index 4be0673fefb0..7fd747e55984 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverrideOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExplanationSpecOverrideOrBuilder.java
@@ -28,8 +28,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -42,8 +42,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
@@ -56,8 +56,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+   * changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationParameters parameters = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java
index e3066ee25459..383a939a986d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * Runtime operation information for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataOperationMetadata}
@@ -345,7 +346,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * Runtime operation information for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java
index 2512860ae03c..5133ecce03d1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * Request message for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataRequest}
@@ -355,7 +356,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * Request message for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java
index b198c0b73964..5d45026b69b4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * Response message for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataResponse}
@@ -298,7 +299,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * Response message for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequest.java
index e587250a7592..0b7e0333d9b7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+ * Request message for
+ * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportFeatureValuesRequest}
@@ -2453,8 +2454,8 @@ public com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.FullExport getF
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -2480,8 +2481,8 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -2927,7 +2928,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+   * Request message for
+   * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportFeatureValuesRequest}
@@ -3755,8 +3757,8 @@ public Builder clearFullExport() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3781,8 +3783,8 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3807,8 +3809,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3832,8 +3834,8 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3853,8 +3855,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequestOrBuilder.java
index 6f018f3536d1..6b452b713da2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesRequestOrBuilder.java
@@ -111,8 +111,8 @@ public interface ExportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -127,8 +127,8 @@ public interface ExportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesResponse.java
index 8290fa03d98b..2be692b9bfef 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+ * Response message for
+ * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportFeatureValuesResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+   * Response message for
+   * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java
index 142414e0cb30..144889d104f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+ * Details of
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata}
@@ -74,9 +76,9 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -88,9 +90,9 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -103,8 +105,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -116,8 +118,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -183,9 +185,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -208,9 +210,9 @@ public java.lang.String getArtifactOutputUri() {
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -236,8 +238,8 @@ public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -260,8 +262,8 @@ public java.lang.String getImageOutputUri() {
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -655,9 +657,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -679,9 +681,9 @@ public java.lang.String getArtifactOutputUri() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -703,9 +705,9 @@ public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -726,9 +728,9 @@ public Builder setArtifactOutputUri(java.lang.String value) {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -745,9 +747,9 @@ public Builder clearArtifactOutputUri() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -771,8 +773,8 @@ public Builder setArtifactOutputUriBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -794,8 +796,8 @@ public java.lang.String getImageOutputUri() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -817,8 +819,8 @@ public com.google.protobuf.ByteString getImageOutputUriBytes() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -839,8 +841,8 @@ public Builder setImageOutputUri(java.lang.String value) {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -857,8 +859,8 @@ public Builder clearImageOutputUri() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1000,7 +1002,8 @@ public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadat
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1017,7 +1020,8 @@ public boolean hasOutputInfo() {
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1037,7 +1041,8 @@ public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo ge
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1233,7 +1238,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+   * Details of
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata}
@@ -1627,7 +1634,8 @@ public Builder clearGenericMetadata() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1643,7 +1651,8 @@ public boolean hasOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1666,7 +1675,8 @@ public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo ge
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1691,7 +1701,8 @@ public Builder setOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1714,7 +1725,8 @@ public Builder setOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1744,7 +1756,8 @@ public Builder mergeOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1766,7 +1779,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1783,7 +1797,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1805,7 +1820,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java
index 7c5b27c2d379..dc2dd535decc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java
@@ -62,7 +62,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -76,7 +77,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -90,7 +92,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java
index ddf4d6f28745..5633ddae0c4f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+ * Request message for
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest}
@@ -77,8 +78,9 @@ public interface OutputConfigOrBuilder
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-     * If no value is provided here, then the first from the list of the Model's
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+     * no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

      *
@@ -92,8 +94,9 @@ public interface OutputConfigOrBuilder
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-     * If no value is provided here, then the first from the list of the Model's
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+     * no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

      *
@@ -260,8 +263,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-     * If no value is provided here, then the first from the list of the Model's
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+     * no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

      *
@@ -286,8 +290,9 @@ public java.lang.String getExportFormatId() {
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-     * If no value is provided here, then the first from the list of the Model's
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+     * no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

      *
@@ -851,8 +856,9 @@ public Builder mergeFrom(
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-       * If no value is provided here, then the first from the list of the Model's
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+       * no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

        *
@@ -876,8 +882,9 @@ public java.lang.String getExportFormatId() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-       * If no value is provided here, then the first from the list of the Model's
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+       * no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

        *
@@ -901,8 +908,9 @@ public com.google.protobuf.ByteString getExportFormatIdBytes() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-       * If no value is provided here, then the first from the list of the Model's
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+       * no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

        *
@@ -925,8 +933,9 @@ public Builder setExportFormatId(java.lang.String value) {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-       * If no value is provided here, then the first from the list of the Model's
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+       * no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

        *
@@ -945,8 +954,9 @@ public Builder clearExportFormatId() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-       * If no value is provided here, then the first from the list of the Model's
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+       * no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

        *
@@ -1799,7 +1809,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+   * Request message for
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java
index d84b2951956a..7565162e5bae 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+ * Response message of
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelResponse}
@@ -219,7 +221,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+   * Response message of
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequest.java
index cd4e0710bf93..cba0c084b49d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+ * Request message for
+ * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest}
@@ -78,8 +79,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -105,8 +106,8 @@ public java.lang.String getTensorboardTimeSeries() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -185,8 +186,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of data points to return per page.
-   * The default page_size will be 1000. Values must be between 1 and 10000.
-   * Values above 10000 will be coerced to 10000.
+   * The default page_size is 1000. Values must be between 1 and 10000.
+   * Values above 10000 are coerced to 10000.
    * 

    *
    * int32 page_size = 3;
@@ -264,7 +265,7 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -289,7 +290,7 @@ public java.lang.String getOrderBy() {
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -511,7 +512,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+   * Request message for
+   * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest}
@@ -740,8 +742,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -766,8 +768,8 @@ public java.lang.String getTensorboardTimeSeries() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -792,8 +794,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -817,8 +819,8 @@ public Builder setTensorboardTimeSeries(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -838,8 +840,8 @@ public Builder clearTensorboardTimeSeries() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -973,8 +975,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -990,8 +992,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -1010,8 +1012,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -1162,7 +1164,7 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1186,7 +1188,7 @@ public java.lang.String getOrderBy() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1210,7 +1212,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1233,7 +1235,7 @@ public Builder setOrderBy(java.lang.String value) {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1252,7 +1254,7 @@ public Builder clearOrderBy() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
index 687c7a4f9487..1a1efbba4a29 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -86,8 +86,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * The maximum number of data points to return per page.
-   * The default page_size will be 1000. Values must be between 1 and 10000.
-   * Values above 10000 will be coerced to 10000.
+   * The default page_size is 1000. Values must be between 1 and 10000.
+   * Values above 10000 are coerced to 10000.
    * 

    *
    * int32 page_size = 3;
@@ -136,7 +136,7 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -150,7 +150,7 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataResponse.java
index 0cf98a7389b5..5c6e664bb882 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportTensorboardTimeSeriesDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+ * Response message for
+ * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataResponse}
@@ -376,7 +377,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+   * Response message for
+   * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Feature.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Feature.java
index aaa054443f29..8efcf28d006c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Feature.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Feature.java
@@ -477,7 +477,9 @@ public interface MonitoringStatsAnomalyOrBuilder
    * A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
    * Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-   * requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.
+   * requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
+   * descending.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly}
@@ -971,7 +973,9 @@ protected Builder newBuilderForType(
      * A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
      * Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-     * requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.
+     * requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
+     * descending.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly}
@@ -1980,10 +1984,10 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Optional. If not set, use the monitoring_config defined for the EntityType this
-   * Feature belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. If not set, use the monitoring_config defined for the EntityType
+   * this Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 can enable monitoring.
    * If set to true, all types of data monitoring are disabled despite the
    * config on EntityType.
    * 

@@ -2004,7 +2008,8 @@ public boolean getDisableMonitoring() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2020,7 +2025,8 @@ public boolean getDisableMonitoring() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2037,7 +2043,8 @@ public boolean getDisableMonitoring() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2052,7 +2059,8 @@ public int getMonitoringStatsAnomaliesCount() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2068,7 +2076,8 @@ public com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly getMonitori
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -3771,10 +3780,10 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -3791,10 +3800,10 @@ public boolean getDisableMonitoring() {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -3814,10 +3823,10 @@ public Builder setDisableMonitoring(boolean value) {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+     * STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -3855,7 +3864,8 @@ private void ensureMonitoringStatsAnomaliesIsMutable() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3874,7 +3884,8 @@ private void ensureMonitoringStatsAnomaliesIsMutable() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3892,7 +3903,8 @@ public int getMonitoringStatsAnomaliesCount() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3911,7 +3923,8 @@ public int getMonitoringStatsAnomaliesCount() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3936,7 +3949,8 @@ public Builder setMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3959,7 +3973,8 @@ public Builder setMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -3984,7 +3999,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4009,7 +4025,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4031,7 +4048,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4054,7 +4072,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4077,7 +4096,8 @@ public Builder addAllMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4098,7 +4118,8 @@ public Builder clearMonitoringStatsAnomalies() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4119,7 +4140,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4134,7 +4156,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4153,7 +4176,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4173,7 +4197,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4190,7 +4215,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4208,7 +4234,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureNoiseSigma.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureNoiseSigma.java
index 4b1dfe182e80..31ed7fce2f47 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureNoiseSigma.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureNoiseSigma.java
@@ -80,7 +80,8 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -94,7 +95,8 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -109,8 +111,8 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * This represents the standard deviation of the Gaussian kernel that will
      * be used to add noise to the feature prior to computing gradients. Similar
-     * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-     * noise added to the current feature. Defaults to 0.1.
+     * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * but represents the noise added to the current feature. Defaults to 0.1.
      * 

      *
      * float sigma = 2;
@@ -176,7 +178,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -201,7 +204,8 @@ public java.lang.String getName() {
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -229,8 +233,8 @@ public com.google.protobuf.ByteString getNameBytes() {
      * 
      * This represents the standard deviation of the Gaussian kernel that will
      * be used to add noise to the feature prior to computing gradients. Similar
-     * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-     * noise added to the current feature. Defaults to 0.1.
+     * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * but represents the noise added to the current feature. Defaults to 0.1.
      * 

      *
      * float sigma = 2;
@@ -616,7 +620,8 @@ public Builder mergeFrom(
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -640,7 +645,8 @@ public java.lang.String getName() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -664,7 +670,8 @@ public com.google.protobuf.ByteString getNameBytes() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -687,7 +694,8 @@ public Builder setName(java.lang.String value) {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -706,7 +714,8 @@ public Builder clearName() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -732,8 +741,8 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
@@ -750,8 +759,8 @@ public float getSigma() {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
@@ -771,8 +780,8 @@ public Builder setSigma(float value) {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureOrBuilder.java
index 926f3de96cf5..58dbfc137396 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureOrBuilder.java
@@ -320,10 +320,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. If not set, use the monitoring_config defined for the EntityType this
-   * Feature belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. If not set, use the monitoring_config defined for the EntityType
+   * this Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+   * STRING, DOUBLE or INT64 can enable monitoring.
    * If set to true, all types of data monitoring are disabled despite the
    * config on EntityType.
    * 

@@ -338,7 +338,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -351,7 +352,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -364,7 +366,8 @@ com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly getMonitoringStats
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -376,7 +379,8 @@ com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly getMonitoringStats
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -389,7 +393,8 @@ com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly getMonitoringStats
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomaly.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomaly.java
index 180f10de9e5e..21b17c2fbe7c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomaly.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomaly.java
@@ -85,7 +85,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Feature importance score, only populated when cross-feature monitoring is
    * enabled. For now only used to represent feature attribution score within
    * range [0, 1] for
-   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+   * and
    * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
    * 

    *
@@ -881,7 +882,8 @@ public Builder mergeFrom(
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
@@ -900,7 +902,8 @@ public double getScore() {
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
@@ -922,7 +925,8 @@ public Builder setScore(double value) {
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomalyOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomalyOrBuilder.java
index ac1cc2c5f417..04508f8bba6e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomalyOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureStatsAnomalyOrBuilder.java
@@ -30,7 +30,8 @@ public interface FeatureStatsAnomalyOrBuilder
    * Feature importance score, only populated when cross-feature monitoring is
    * enabled. For now only used to represent feature attribution score within
    * range [0, 1] for
-   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+   * and
    * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestination.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestination.java
index 86423c5d238e..6e9ad56ec028 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestination.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestination.java
@@ -121,8 +121,10 @@ public DestinationCase getDestinationCase() {
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -138,8 +140,10 @@ public boolean hasBigqueryDestination() {
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -158,8 +162,10 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -764,8 +770,10 @@ public Builder clearDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -781,8 +789,10 @@ public boolean hasBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -808,8 +818,10 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -833,8 +845,10 @@ public Builder setBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -855,8 +869,10 @@ public Builder setBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -891,8 +907,10 @@ public Builder mergeBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -918,8 +936,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -933,8 +953,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -956,8 +978,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestinationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestinationOrBuilder.java
index 9f44434b4939..63f0a1cb6a87 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestinationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeatureValueDestinationOrBuilder.java
@@ -28,8 +28,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -42,8 +44,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
@@ -56,8 +60,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Featurestore.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Featurestore.java
index 9a1f16eb1233..e8316c2bbae9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Featurestore.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Featurestore.java
@@ -384,8 +384,8 @@ public interface ScalingOrBuilder
        *
        *
        * 
-       * Required. The minimum number of nodes to scale down to. Must be greater than or
-       * equal to 1.
+       * Required. The minimum number of nodes to scale down to. Must be greater
+       * than or equal to 1.
        * 

        *
        * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -464,8 +464,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        *
        *
        * 
-       * Required. The minimum number of nodes to scale down to. Must be greater than or
-       * equal to 1.
+       * Required. The minimum number of nodes to scale down to. Must be greater
+       * than or equal to 1.
        * 

        *
        * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -877,8 +877,8 @@ public Builder mergeFrom(
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -893,8 +893,8 @@ public int getMinNodeCount() {
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -912,8 +912,8 @@ public Builder setMinNodeCount(int value) {
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -2008,8 +2008,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -2032,8 +2032,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -2082,7 +2082,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2112,7 +2113,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2133,7 +2135,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2158,7 +2161,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2189,10 +2193,10 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2209,10 +2213,10 @@ public boolean hasOnlineServingConfig() {
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2231,10 +2235,10 @@ public com.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig getOnline
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2293,8 +2297,8 @@ public com.google.cloud.aiplatform.v1.Featurestore.State getState() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -2311,8 +2315,8 @@ public boolean hasEncryptionSpec() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -2331,8 +2335,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -3428,8 +3432,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3451,8 +3455,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3474,8 +3478,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3496,8 +3500,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3514,8 +3518,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3563,7 +3567,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3593,7 +3598,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3614,7 +3620,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3640,7 +3647,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3673,7 +3681,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3702,7 +3711,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3730,7 +3740,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3758,10 +3769,10 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3777,10 +3788,10 @@ public boolean hasOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3803,10 +3814,10 @@ public boolean hasOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3831,10 +3842,10 @@ public Builder setOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3856,10 +3867,10 @@ public Builder setOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3889,10 +3900,10 @@ public Builder mergeOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3914,10 +3925,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3934,10 +3945,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3958,10 +3969,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -4098,8 +4109,8 @@ public Builder clearState() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4115,8 +4126,8 @@ public boolean hasEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4138,8 +4149,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4163,8 +4174,8 @@ public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec v
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4186,8 +4197,8 @@ public Builder setEncryptionSpec(
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4215,8 +4226,8 @@ public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4238,8 +4249,8 @@ public Builder clearEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4255,8 +4266,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBu
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4276,8 +4287,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfig.java
index 66eaa85e1587..49cfadcc3c13 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfig.java
@@ -3109,7 +3109,9 @@ public boolean hasImportFeaturesAnalysis() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -3128,7 +3130,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -3151,7 +3155,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -3173,7 +3179,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
@@ -3192,7 +3200,9 @@ public boolean hasCategoricalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
@@ -3215,7 +3225,9 @@ public boolean hasCategoricalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
@@ -4134,7 +4146,9 @@ public Builder clearImportFeaturesAnalysis() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4152,7 +4166,9 @@ public boolean hasNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4178,7 +4194,9 @@ public boolean hasNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4205,7 +4223,9 @@ public Builder setNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4230,7 +4250,9 @@ public Builder setNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4262,7 +4284,9 @@ public Builder mergeNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4286,7 +4310,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4305,7 +4331,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4329,7 +4357,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+     * or INT64).
      * 

      *
      * 
@@ -4367,7 +4397,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4385,7 +4417,9 @@ public boolean hasCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4411,7 +4445,9 @@ public boolean hasCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4438,7 +4474,9 @@ public Builder setCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4463,7 +4501,9 @@ public Builder setCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4495,7 +4535,9 @@ public Builder mergeCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4519,7 +4561,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4538,7 +4582,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
@@ -4562,7 +4608,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+     * STRING).
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfigOrBuilder.java
index 905aa8a6b593..212617051ac3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreMonitoringConfigOrBuilder.java
@@ -115,7 +115,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -131,7 +133,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -148,7 +152,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+   * or INT64).
    * 

    *
    * 
@@ -164,7 +170,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
@@ -180,7 +188,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
@@ -197,7 +207,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+   * STRING).
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreOrBuilder.java
index c76c6c8bc208..ab27e7df0bbb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FeaturestoreOrBuilder.java
@@ -130,8 +130,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -143,8 +143,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -157,7 +157,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -175,7 +176,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -196,7 +198,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -214,7 +217,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -237,7 +241,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -256,10 +261,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -273,10 +278,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -290,10 +295,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -336,8 +341,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -351,8 +356,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -366,8 +371,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java
index 8e4aac1162e0..cb498b0d10a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java
@@ -82,10 +82,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -110,10 +111,11 @@ public java.lang.String getTrainingFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -141,10 +143,11 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -169,10 +172,11 @@ public java.lang.String getValidationFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -200,10 +204,11 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -228,10 +233,11 @@ public java.lang.String getTestFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -636,10 +642,11 @@ public Builder mergeFrom(
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -663,10 +670,11 @@ public java.lang.String getTrainingFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -690,10 +698,11 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -716,10 +725,11 @@ public Builder setTrainingFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -738,10 +748,11 @@ public Builder clearTrainingFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -767,10 +778,11 @@ public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -794,10 +806,11 @@ public java.lang.String getValidationFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -821,10 +834,11 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -847,10 +861,11 @@ public Builder setValidationFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -869,10 +884,11 @@ public Builder clearValidationFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -898,10 +914,11 @@ public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -925,10 +942,11 @@ public java.lang.String getTestFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -952,10 +970,11 @@ public com.google.protobuf.ByteString getTestFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -978,10 +997,11 @@ public Builder setTestFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1000,10 +1020,11 @@ public Builder clearTestFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java
index f73c7c5add1f..87ba31d51f54 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java
@@ -29,10 +29,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -46,10 +47,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -64,10 +66,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,10 +84,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -99,10 +103,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -116,10 +121,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java
index 67dffdd8991c..45c13c4dcd8e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java
@@ -73,7 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -98,7 +99,8 @@ public java.lang.String getOutputUriPrefix() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -454,7 +456,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -478,7 +481,8 @@ public java.lang.String getOutputUriPrefix() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -502,7 +506,8 @@ public com.google.protobuf.ByteString getOutputUriPrefixBytes() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -525,7 +530,8 @@ public Builder setOutputUriPrefix(java.lang.String value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -544,7 +550,8 @@ public Builder clearOutputUriPrefix() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java
index 3c0aae7272f5..cc845fcb84ee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java
@@ -27,7 +27,8 @@ public interface GcsDestinationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -41,7 +42,8 @@ public interface GcsDestinationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java
index 52830b7bdfcb..05d074ceab0c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+ * Request message for
+ * [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetAnnotationSpecRequest}
@@ -348,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+   * Request message for
+   * [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetAnnotationSpecRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetArtifactRequest.java
index ba1defc94f2d..beb2b7594b90 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
+ * Request message for
+ * [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetArtifactRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
+   * Request message for
+   * [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java
index a759c71b2c8d..ffe8266528e7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+ * Request message for
+ * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetBatchPredictionJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+   * Request message for
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetContextRequest.java
index a0ff3cb50cfe..4c569dd4a7f0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
+ * Request message for
+ * [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetContextRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
+   * Request message for
+   * [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetContextRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java
index 2d16212263cb..855ab53331a7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+ * Request message for
+ * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetCustomJobRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+   * Request message for
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java
index ad632d40e68c..e16558389d64 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
+ * Request message for
+ * [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
+   * Request message for
+   * [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java
index a2bba0edaadd..9cd39f8f78a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+ * Request message for
+ * [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetDatasetRequest}
@@ -343,7 +344,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+   * Request message for
+   * [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java
index cf49b5c6297c..43f67e0fef77 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+ * Request message for
+ * [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetEndpointRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+   * Request message for
+   * [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEntityTypeRequest.java
index 2025d47a41f8..f2ea711bcfcd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
+ * Request message for
+ * [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetEntityTypeRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
+   * Request message for
+   * [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetEntityTypeRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetExecutionRequest.java
index 77b82d32776d..dae18ca63af7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
+ * Request message for
+ * [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetExecutionRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
+   * Request message for
+   * [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeatureRequest.java
index 9692a872f809..f61cbee6089d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
+ * Request message for
+ * [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetFeatureRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
+   * Request message for
+   * [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeaturestoreRequest.java
index fb2a9241fa6d..1e6d26ff9588 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
+ * Request message for
+ * [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetFeaturestoreRequest}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
+   * Request message for
+   * [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetFeaturestoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java
index 2735b04d6516..8ff651933ea9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+ * Request message for
+ * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+   * Request message for
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexEndpointRequest.java
index 29f8718f53a8..f566f888977f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
+ * Request message for
+ * [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetIndexEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
+   * Request message for
+   * [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexRequest.java
index c8d576aea5d3..08be8e0b50bb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
+ * Request message for
+ * [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetIndexRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
+   * Request message for
+   * [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataSchemaRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataSchemaRequest.java
index 9aabbb06b4ed..aefe4c39ec5c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataSchemaRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataSchemaRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
+ * Request message for
+ * [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetMetadataSchemaRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
+   * Request message for
+   * [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetMetadataSchemaRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataStoreRequest.java
index 4bd442c2e07f..0145808080cc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
+ * Request message for
+ * [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetMetadataStoreRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
+   * Request message for
+   * [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetMetadataStoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java
index 6683ca59d558..146ba7d6dd88 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+ * Request message for
+ * [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+   * Request message for
+   * [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java
index 639268a222f8..bb8283db9016 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+ * Request message for
+ * [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+   * Request message for
+   * [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java
index f80ba549db92..f58d4e58b54e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+ * Request message for
+ * [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetModelRequest}
@@ -303,7 +304,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+   * Request message for
+   * [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetPipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetPipelineJobRequest.java
index 8fd9dd9e6e85..9176831cfd77 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetPipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetPipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
+ * Request message for
+ * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetPipelineJobRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
+   * Request message for
+   * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetPipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java
index 8ebe6f0ed180..475a63a19ade 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetSpecialistPoolRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetStudyRequest.java
index c3eacf285777..a1259c4aa1d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
+ * Request message for
+ * [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetStudyRequest}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
+   * Request message for
+   * [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardExperimentRequest.java
index c790fe127a68..b3f8c0b33a43 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardExperimentRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardExperimentRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRequest.java
index 0786ef5521f5..44fa5c77e7c2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
+ * Request message for
+ * [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
+   * Request message for
+   * [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRunRequest.java
index 20c07b52965d..ba508ab11aa3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
+ * Request message for
+ * [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardRunRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
+   * Request message for
+   * [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardRunRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardTimeSeriesRequest.java
index d6e3d20ae36d..896f2147871c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardTimeSeriesRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTensorboardTimeSeriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java
index c3e2e260e3eb..8c6cee9ee2cb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+ * Request message for
+ * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTrainingPipelineRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+   * Request message for
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrialRequest.java
index b483a39b93a7..996defbb8fec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
+ * Request message for
+ * [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.GetTrialRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
+   * Request message for
+   * [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.GetTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java
index 54b368426e4f..64d37f2889e9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java
@@ -302,8 +302,8 @@ public int getMaxFailedTrialCount() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -320,8 +320,8 @@ public boolean hasTrialJobSpec() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -340,8 +340,8 @@ public com.google.cloud.aiplatform.v1.CustomJobSpec getTrialJobSpec() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -527,8 +527,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -544,8 +544,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -561,8 +561,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -579,8 +579,9 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -596,8 +597,9 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -613,8 +615,9 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -631,7 +634,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -647,7 +651,8 @@ public boolean hasUpdateTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -663,7 +668,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2324,8 +2330,8 @@ public Builder clearMaxFailedTrialCount() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2341,8 +2347,8 @@ public boolean hasTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2364,8 +2370,8 @@ public com.google.cloud.aiplatform.v1.CustomJobSpec getTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2389,8 +2395,8 @@ public Builder setTrialJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec valu
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2412,8 +2418,8 @@ public Builder setTrialJobSpec(
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2441,8 +2447,8 @@ public Builder mergeTrialJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec va
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2464,8 +2470,8 @@ public Builder clearTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2481,8 +2487,8 @@ public com.google.cloud.aiplatform.v1.CustomJobSpec.Builder getTrialJobSpecBuild
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2502,8 +2508,8 @@ public com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getTrialJobSpecOrBu
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -3223,8 +3229,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3240,8 +3246,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3261,8 +3267,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3286,8 +3292,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3308,8 +3314,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3335,8 +3341,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3358,8 +3364,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3375,8 +3381,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3394,8 +3400,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3429,8 +3435,9 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3445,8 +3452,9 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3465,8 +3473,9 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3489,8 +3498,9 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3510,8 +3520,9 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3536,8 +3547,9 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3558,8 +3570,9 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3574,8 +3587,9 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3592,8 +3606,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3626,7 +3641,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3642,7 +3658,8 @@ public boolean hasUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3664,7 +3681,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3688,7 +3706,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3709,7 +3728,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3735,7 +3755,8 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3757,7 +3778,8 @@ public Builder clearUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3773,7 +3795,8 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3793,7 +3816,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java
index 488ee230fe01..d3766143d42b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java
@@ -164,8 +164,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -179,8 +179,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -194,8 +194,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -336,8 +336,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -350,8 +350,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -364,8 +364,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -377,8 +377,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -391,8 +392,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -405,8 +407,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -418,7 +421,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -431,7 +435,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -444,7 +449,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java
index 6e0d1c4d4521..7f0d4821357c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java
@@ -217,7 +217,9 @@ public int getDataItemLabelsCount() {
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -249,7 +251,9 @@ public java.util.Map getDataItemLabels() {
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -272,7 +276,9 @@ public java.util.Map getDataItemLabelsMap()
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -300,7 +306,9 @@ public java.lang.String getDataItemLabelsOrDefault(
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -350,11 +358,14 @@ public int getAnnotationLabelsCount() {
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -378,11 +389,14 @@ public java.util.Map getAnnotationLabels() {
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -397,11 +411,14 @@ public java.util.Map getAnnotationLabelsMap(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -421,11 +438,14 @@ public java.lang.String getAnnotationLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -448,9 +468,9 @@ public java.lang.String getAnnotationLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -474,9 +494,9 @@ public java.lang.String getImportSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1239,7 +1259,9 @@ public int getDataItemLabelsCount() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1271,7 +1293,9 @@ public java.util.Map getDataItemLabels() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1294,7 +1318,9 @@ public java.util.Map getDataItemLabelsMap()
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1322,7 +1348,9 @@ public java.lang.String getDataItemLabelsOrDefault(
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1357,7 +1385,9 @@ public Builder clearDataItemLabels() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1388,7 +1418,9 @@ public java.util.Map getMutableDataItemLabel
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1418,7 +1450,9 @@ public Builder putDataItemLabels(java.lang.String key, java.lang.String value) {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1463,11 +1497,14 @@ public int getAnnotationLabelsCount() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1491,11 +1528,14 @@ public java.util.Map getAnnotationLabels() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1510,11 +1550,14 @@ public java.util.Map getAnnotationLabelsMap(
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1535,11 +1578,14 @@ public java.lang.String getAnnotationLabelsOrDefault(
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1567,11 +1613,14 @@ public Builder clearAnnotationLabels() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1594,11 +1643,14 @@ public java.util.Map getMutableAnnotationLab
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1620,11 +1672,14 @@ public Builder putAnnotationLabels(java.lang.String key, java.lang.String value)
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-     * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-     * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+     * the same. These labels will be overridden by Annotation labels specified
+     * inside index file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1640,9 +1695,9 @@ public Builder putAllAnnotationLabels(
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1665,9 +1720,9 @@ public java.lang.String getImportSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1690,9 +1745,9 @@ public com.google.protobuf.ByteString getImportSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1714,9 +1769,9 @@ public Builder setImportSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1734,9 +1789,9 @@ public Builder clearImportSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java
index ea5669d17f95..17c6b7fb77c5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java
@@ -72,7 +72,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -92,7 +94,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -115,7 +119,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -135,7 +141,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -160,7 +168,9 @@ java.lang.String getDataItemLabelsOrDefault(
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -173,11 +183,14 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -189,11 +202,14 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -208,11 +224,14 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -224,11 +243,14 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -245,11 +267,14 @@ java.lang.String getAnnotationLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-   * [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-   * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   * and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+   * the same. These labels will be overridden by Annotation labels specified
+   * inside index file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -260,9 +285,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -275,9 +300,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java
index 9d12f967aa6e..5e902f1d646f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * Runtime operation information for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataOperationMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * Runtime operation information for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java
index d7b74f565548..d66eb9b3d8eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * Request message for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataRequest}
@@ -131,8 +132,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -147,8 +148,8 @@ public java.util.List getImport
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -164,8 +165,8 @@ public java.util.List getImport
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -180,8 +181,8 @@ public int getImportConfigsCount() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -196,8 +197,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfig getImportConfigs(int inde
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -384,7 +385,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * Request message for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataRequest}
@@ -759,8 +761,8 @@ private void ensureImportConfigsIsMutable() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -778,8 +780,8 @@ public java.util.List getImport
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -797,8 +799,8 @@ public int getImportConfigsCount() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -816,8 +818,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfig getImportConfigs(int inde
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -842,8 +844,8 @@ public Builder setImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -865,8 +867,8 @@ public Builder setImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -890,8 +892,8 @@ public Builder addImportConfigs(com.google.cloud.aiplatform.v1.ImportDataConfig
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -916,8 +918,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -939,8 +941,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -962,8 +964,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -985,8 +987,8 @@ public Builder addAllImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1007,8 +1009,8 @@ public Builder clearImportConfigs() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1029,8 +1031,8 @@ public Builder removeImportConfigs(int index) {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1045,8 +1047,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder getImportConfigsB
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1065,8 +1067,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder getImportConfigs
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1085,8 +1087,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder getImportConfigs
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1101,8 +1103,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder addImportConfigsB
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1118,8 +1120,8 @@ public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder addImportConfigsB
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java
index e2cf39325325..a5fd3379d57d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java
@@ -60,8 +60,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -73,8 +73,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -86,8 +86,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -99,8 +99,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -113,8 +113,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java
index da5f262c93ea..9368626124b2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * Response message for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataResponse}
@@ -219,7 +220,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * Response message for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequest.java
index 3734500b1e27..d018be87c711 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+ * Request message for
+ * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportFeatureValuesRequest}
@@ -78,8 +79,8 @@ public interface FeatureSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -91,8 +92,8 @@ public interface FeatureSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -184,8 +185,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -208,8 +209,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -652,8 +653,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -675,8 +676,8 @@ public java.lang.String getId() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -698,8 +699,8 @@ public com.google.protobuf.ByteString getIdBytes() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -720,8 +721,8 @@ public Builder setId(java.lang.String value) {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -738,8 +739,8 @@ public Builder clearId() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1260,8 +1261,8 @@ public com.google.protobuf.TimestampOrBuilder getFeatureTimeOrBuilder() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -1287,8 +1288,8 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -1369,9 +1370,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1387,9 +1388,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1406,9 +1407,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1423,9 +1424,9 @@ public int getFeatureSpecsCount() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1441,9 +1442,9 @@ public com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest.FeatureSpec get
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1819,7 +1820,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+   * Request message for
+   * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportFeatureValuesRequest}
@@ -3031,8 +3033,8 @@ public com.google.protobuf.TimestampOrBuilder getFeatureTimeOrBuilder() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3057,8 +3059,8 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3083,8 +3085,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3108,8 +3110,8 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3129,8 +3131,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3286,9 +3288,9 @@ private void ensureFeatureSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3307,9 +3309,9 @@ private void ensureFeatureSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3327,9 +3329,9 @@ public int getFeatureSpecsCount() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3348,9 +3350,9 @@ public com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest.FeatureSpec get
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3375,9 +3377,9 @@ public Builder setFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3401,9 +3403,9 @@ public Builder setFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3428,9 +3430,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3455,9 +3457,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3480,9 +3482,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3506,9 +3508,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3532,9 +3534,9 @@ public Builder addAllFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3555,9 +3557,9 @@ public Builder clearFeatureSpecs() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3578,9 +3580,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3595,9 +3597,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3616,9 +3618,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3639,9 +3641,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3659,9 +3661,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3680,9 +3682,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequestOrBuilder.java
index dac49020745d..e501278504a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesRequestOrBuilder.java
@@ -150,8 +150,8 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -166,8 +166,8 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -210,9 +210,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -225,9 +225,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -239,9 +239,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -253,9 +253,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -269,9 +269,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesResponse.java
index bdcecd87ec8c..a4593c6117e4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+ * Response message for
+ * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportFeatureValuesResponse}
@@ -338,7 +339,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+   * Response message for
+   * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportModelEvaluationRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportModelEvaluationRequest.java
index 429626c1d4ae..1a0511cf9404 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportModelEvaluationRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportModelEvaluationRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
+ * Request message for
+ * [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ImportModelEvaluationRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
+   * Request message for
+   * [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ImportModelEvaluationRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Index.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Index.java
index 5203c8a1d3c4..01469084f6b4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Index.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Index.java
@@ -408,10 +408,10 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -438,10 +438,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -472,7 +472,8 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -488,7 +489,8 @@ public boolean hasMetadata() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -504,7 +506,8 @@ public com.google.protobuf.Value getMetadata() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -828,10 +831,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -851,10 +854,10 @@ public boolean hasUpdateTime() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -874,10 +877,10 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -948,8 +951,8 @@ public com.google.cloud.aiplatform.v1.IndexStatsOrBuilder getIndexStatsOrBuilder
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -966,8 +969,8 @@ public int getIndexUpdateMethodValue() {
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -2018,10 +2021,10 @@ public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2047,10 +2050,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2076,10 +2079,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2104,10 +2107,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2128,10 +2131,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2165,7 +2168,8 @@ public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2180,7 +2184,8 @@ public boolean hasMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2199,7 +2204,8 @@ public com.google.protobuf.Value getMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2222,7 +2228,8 @@ public Builder setMetadata(com.google.protobuf.Value value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2242,7 +2249,8 @@ public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2267,7 +2275,8 @@ public Builder mergeMetadata(com.google.protobuf.Value value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2288,7 +2297,8 @@ public Builder clearMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2303,7 +2313,8 @@ public com.google.protobuf.Value.Builder getMetadataBuilder() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2320,7 +2331,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -3287,10 +3299,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3310,10 +3322,10 @@ public boolean hasUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3339,10 +3351,10 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3370,10 +3382,10 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3398,10 +3410,10 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3431,10 +3443,10 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3460,10 +3472,10 @@ public Builder clearUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3483,10 +3495,10 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3510,10 +3522,10 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+     * after the value of this timestamp, yet that does not mean their results are
+     * not already reflected in the Index. Result of any successfully completed
+     * Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3746,8 +3758,8 @@ public com.google.cloud.aiplatform.v1.IndexStatsOrBuilder getIndexStatsOrBuilder
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3764,8 +3776,8 @@ public int getIndexUpdateMethodValue() {
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3785,8 +3797,8 @@ public Builder setIndexUpdateMethodValue(int value) {
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3808,8 +3820,8 @@ public com.google.cloud.aiplatform.v1.Index.IndexUpdateMethod getIndexUpdateMeth
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3833,8 +3845,8 @@ public Builder setIndexUpdateMethod(
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapoint.java
index 69da41cad09e..69a8abb6af51 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapoint.java
@@ -2129,10 +2129,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2148,10 +2148,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2168,10 +2168,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2186,10 +2186,10 @@ public int getRestrictsCount() {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2204,10 +2204,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction getRestricts(in
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2226,8 +2226,8 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRes
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -2244,8 +2244,8 @@ public boolean hasCrowdingTag() {
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -2264,8 +2264,8 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag getCrowdingTag(
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -3031,10 +3031,10 @@ private void ensureRestrictsIsMutable() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3053,10 +3053,10 @@ private void ensureRestrictsIsMutable() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3074,10 +3074,10 @@ public int getRestrictsCount() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3095,10 +3095,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction getRestricts(in
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3123,10 +3123,10 @@ public Builder setRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3149,10 +3149,10 @@ public Builder setRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3176,10 +3176,10 @@ public Builder addRestricts(com.google.cloud.aiplatform.v1.IndexDatapoint.Restri
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3204,10 +3204,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3229,10 +3229,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3255,10 +3255,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3281,10 +3281,10 @@ public Builder addAllRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3305,10 +3305,10 @@ public Builder clearRestricts() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3329,10 +3329,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3347,10 +3347,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction.Builder getRest
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3369,10 +3369,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRes
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3392,10 +3392,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRes
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3411,10 +3411,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction.Builder addRest
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3432,10 +3432,10 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction.Builder addRest
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3474,8 +3474,8 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction.Builder addRest
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3491,8 +3491,8 @@ public boolean hasCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3514,8 +3514,8 @@ public com.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag getCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3539,8 +3539,8 @@ public Builder setCrowdingTag(com.google.cloud.aiplatform.v1.IndexDatapoint.Crow
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3562,8 +3562,8 @@ public Builder setCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3592,8 +3592,8 @@ public Builder mergeCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3615,8 +3615,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3633,8 +3633,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3655,8 +3655,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapointOrBuilder.java
index 65bbfec8ee1a..1c568f012d98 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexDatapointOrBuilder.java
@@ -93,10 +93,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -108,10 +108,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -123,10 +123,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -138,10 +138,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -154,10 +154,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -171,8 +171,8 @@ com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRestrictsO
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -186,8 +186,8 @@ com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRestrictsO
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -201,8 +201,8 @@ com.google.cloud.aiplatform.v1.IndexDatapoint.RestrictionOrBuilder getRestrictsO
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpoint.java
index f5c469639557..4447071d9c2b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpoint.java
@@ -664,8 +664,10 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * 
-   * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+   * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+   * connect.
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -675,7 +677,7 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=97
+   *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=102
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Override
@@ -2929,8 +2931,10 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2940,7 +2944,7 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=102
      * @return The enablePrivateServiceConnect.
      */
     @java.lang.Override
@@ -2952,8 +2956,10 @@ public boolean getEnablePrivateServiceConnect() {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2963,7 +2969,7 @@ public boolean getEnablePrivateServiceConnect() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=102
      * @param value The enablePrivateServiceConnect to set.
      * @return This builder for chaining.
      */
@@ -2978,8 +2984,10 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2989,7 +2997,7 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=102
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpointOrBuilder.java
index 891d22cf8f7c..f7b2bda21f8b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexEndpointOrBuilder.java
@@ -406,8 +406,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+   * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+   * connect.
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -417,7 +419,7 @@ java.lang.String getLabelsOrDefault(
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=97
+   *     deprecated. See google/cloud/aiplatform/v1/index_endpoint.proto;l=102
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexOrBuilder.java
index 3c5d422d11e8..20afff554549 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexOrBuilder.java
@@ -106,10 +106,10 @@ public interface IndexOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -125,10 +125,10 @@ public interface IndexOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -146,7 +146,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -159,7 +160,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -172,7 +174,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -403,10 +406,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -423,10 +426,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -443,10 +446,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+   * after the value of this timestamp, yet that does not mean their results are
+   * not already reflected in the Index. Result of any successfully completed
+   * Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -499,8 +502,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -514,8 +517,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpoints.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpoints.java
index 43f6b57b56f8..3d45dbe84e38 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpoints.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpoints.java
@@ -127,8 +127,8 @@ public com.google.protobuf.ByteString getMatchGrpcAddressBytes() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -151,8 +151,8 @@ public java.lang.String getServiceAttachment() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -639,8 +639,8 @@ public Builder setMatchGrpcAddressBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -662,8 +662,8 @@ public java.lang.String getServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -685,8 +685,8 @@ public com.google.protobuf.ByteString getServiceAttachmentBytes() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -707,8 +707,8 @@ public Builder setServiceAttachment(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -725,8 +725,8 @@ public Builder clearServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpointsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpointsOrBuilder.java
index 758b3277731e..f568531e87bd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpointsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IndexPrivateEndpointsOrBuilder.java
@@ -52,8 +52,8 @@ public interface IndexPrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -65,8 +65,8 @@ public interface IndexPrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java
index b71590d327be..e630e68ad858 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java
@@ -634,9 +634,9 @@ public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -663,9 +663,9 @@ public java.lang.String getDatasetId() {
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -701,9 +701,9 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -732,9 +732,9 @@ public java.lang.String getAnnotationsFilter() {
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -768,13 +768,17 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+   * Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -806,13 +810,17 @@ public java.lang.String getAnnotationSchemaUri() {
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+   * Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -841,13 +849,20 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+   * for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -872,13 +887,20 @@ public java.lang.String getSavedQueryId() {
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+   * for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -3418,9 +3440,9 @@ public Builder clearBigqueryDestination() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3446,9 +3468,9 @@ public java.lang.String getDatasetId() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3474,9 +3496,9 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3501,9 +3523,9 @@ public Builder setDatasetId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3524,9 +3546,9 @@ public Builder clearDatasetId() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3560,9 +3582,9 @@ public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3590,9 +3612,9 @@ public java.lang.String getAnnotationsFilter() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3620,9 +3642,9 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3649,9 +3671,9 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3674,9 +3696,9 @@ public Builder clearAnnotationsFilter() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3708,13 +3730,17 @@ public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+     * Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3745,13 +3771,17 @@ public java.lang.String getAnnotationSchemaUri() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+     * Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3782,13 +3812,17 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+     * Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3818,13 +3852,17 @@ public Builder setAnnotationSchemaUri(java.lang.String value) {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+     * Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3850,13 +3888,17 @@ public Builder clearAnnotationSchemaUri() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+     * Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3883,13 +3925,20 @@ public Builder setAnnotationSchemaUriBytes(com.google.protobuf.ByteString value)
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+     * for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3913,13 +3962,20 @@ public java.lang.String getSavedQueryId() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+     * for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3943,13 +3999,20 @@ public com.google.protobuf.ByteString getSavedQueryIdBytes() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+     * for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3972,13 +4035,20 @@ public Builder setSavedQueryId(java.lang.String value) {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+     * for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3997,13 +4067,20 @@ public Builder clearSavedQueryId() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+     * for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java
index e20b9fb7e6de..6f4bb0694df5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java
@@ -368,9 +368,9 @@ public interface InputDataConfigOrBuilder
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -386,9 +386,9 @@ public interface InputDataConfigOrBuilder
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -411,9 +411,9 @@ public interface InputDataConfigOrBuilder
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -431,9 +431,9 @@ public interface InputDataConfigOrBuilder
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -454,13 +454,17 @@ public interface InputDataConfigOrBuilder
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+   * Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -481,13 +485,17 @@ public interface InputDataConfigOrBuilder
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+   * Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -503,13 +511,20 @@ public interface InputDataConfigOrBuilder
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+   * for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -523,13 +538,20 @@ public interface InputDataConfigOrBuilder
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+   * for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java
index 8d30923e13a9..27d1d2cc879c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+ * Request message for
+ * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsRequest}
@@ -554,7 +555,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * Request message for
+   * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java
index 7aec0ae616d9..6823d3f25bcd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+ * Response message for
+ * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsResponse}
@@ -361,7 +362,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * Response message for
+   * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequest.java
index 321fb090fe71..979f9b097c4b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+ * Request message for
+ * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListArtifactsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -558,7 +561,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+   * Request message for
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListArtifactsRequest}
@@ -962,7 +966,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -988,7 +993,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1014,7 +1020,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1039,7 +1046,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1060,7 +1068,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequestOrBuilder.java
index 8ea27228cf45..ed8b55df7fbf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListArtifactsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -90,7 +91,8 @@ public interface ListArtifactsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponse.java
index b280eb96be93..27e30b775b39 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+ * Response message for
+ * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListArtifactsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1.ArtifactOrBuilder getArtifactsOrBuilder(in
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -364,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+   * Response message for
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListArtifactsResponse}
@@ -944,7 +948,8 @@ public com.google.cloud.aiplatform.v1.Artifact.Builder addArtifactsBuilder(int i
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -968,7 +973,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -992,7 +998,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1015,7 +1022,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1034,7 +1042,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponseOrBuilder.java
index 85fa95372fa0..e394cc4bc689 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListArtifactsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListArtifactsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListArtifactsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java
index 45e171798ace..d29f65621d7c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+ * Request message for
+ * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest}
@@ -232,8 +233,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -258,8 +261,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -530,7 +535,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+   * Request message for
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest}
@@ -1123,8 +1129,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1148,8 +1156,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1173,8 +1183,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1197,8 +1209,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1217,8 +1231,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java
index ae47a5fe7d87..1da4ee612f4d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java
@@ -130,8 +130,10 @@ public interface ListBatchPredictionJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -145,8 +147,10 @@ public interface ListBatchPredictionJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java
index 329180b1a684..16dc97fbfd68 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+ * Response message for
+ * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse}
@@ -147,8 +148,9 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredic
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -172,8 +174,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -369,7 +372,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * Response message for
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse}
@@ -985,8 +989,9 @@ public com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder addBatchPredict
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1009,8 +1014,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1033,8 +1039,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1056,8 +1063,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1075,8 +1083,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java
index b5df98a49307..b0af4d172376 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java
@@ -81,8 +81,9 @@ com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredictionJob
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -95,8 +96,9 @@ com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredictionJob
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequest.java
index 845a5c504cf2..94e9957bf87f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+ * Request message for
+ * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListContextsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -564,7 +567,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+   * Request message for
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListContextsRequest}
@@ -968,7 +972,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -994,7 +999,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1020,7 +1026,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1045,7 +1052,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1066,7 +1074,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequestOrBuilder.java
index 29a334c4b7b7..dfef634ef4c5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListContextsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -90,7 +91,8 @@ public interface ListContextsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponse.java
index e4fee26a37cf..5a5882cc9b7c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
+ * Response message for
+ * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListContextsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1.ContextOrBuilder getContextsOrBuilder(int
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -364,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
+   * Response message for
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListContextsResponse}
@@ -943,7 +947,8 @@ public java.util.List getContext
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -967,7 +972,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -991,7 +997,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1014,7 +1021,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1033,7 +1041,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponseOrBuilder.java
index 78e1856f3cf8..ae687afe01be 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListContextsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListContextsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListContextsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java
index 21975466878d..5129bfdfc2ce 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+ * Request message for
+ * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsRequest}
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -526,7 +531,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+   * Request message for
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsRequest}
@@ -1112,8 +1118,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1137,8 +1145,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1162,8 +1172,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1186,8 +1198,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1206,8 +1220,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java
index ef02c04ce894..495dcda8c0d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java
@@ -128,8 +128,10 @@ public interface ListCustomJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +145,10 @@ public interface ListCustomJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java
index 8a6abc4d1668..27bbe1b8e67c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+ * Response message for
+ * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobsOrBuilder(
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * Response message for
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsResponse}
@@ -945,7 +951,9 @@ public com.google.cloud.aiplatform.v1.CustomJob.Builder addCustomJobsBuilder(int
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -968,7 +976,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -991,7 +1001,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1013,7 +1025,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1031,7 +1045,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java
index a7a7e076224c..bba8462dfb1a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListCustomJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListCustomJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java
index 0597925236a2..0f687c6c85c8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+ * Request message for
+ * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsRequest}
@@ -553,7 +554,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+   * Request message for
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java
index 25c3866a85fd..ae1850f0559b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+ * Response message for
+ * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsResponse}
@@ -360,7 +361,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+   * Response message for
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java
index 71e3b6a84bc9..2ec52cfd2102 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+ * Request message for
+ * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsRequest}
@@ -593,7 +594,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+   * Request message for
+   * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java
index f067a0052973..42af329deb23 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+ * Response message for
+ * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsResponse}
@@ -367,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+   * Response message for
+   * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java
index 6059c66dff0a..ae1a5d65cbb7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+ * Request message for
+ * [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsRequest}
@@ -579,7 +580,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+   * Request message for
+   * [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java
index c39c2dd02e1e..2c195474971d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+ * Response message for
+ * [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsResponse}
@@ -360,7 +361,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+   * Response message for
+   * [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java
index 5f336e155460..f81bbebd501a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+ * Request message for
+ * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsRequest}
@@ -76,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -102,8 +103,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -131,10 +132,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -166,10 +168,11 @@ public java.lang.String getFilter() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -224,8 +227,10 @@ public int getPageSize() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -250,8 +255,10 @@ public java.lang.String getPageToken() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -594,7 +601,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+   * Request message for
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsRequest}
@@ -837,8 +845,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -862,8 +870,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -887,8 +895,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -911,8 +919,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -931,8 +939,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -958,10 +966,11 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -992,10 +1001,11 @@ public java.lang.String getFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1026,10 +1036,11 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1059,10 +1070,11 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1088,10 +1100,11 @@ public Builder clearFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1178,8 +1191,10 @@ public Builder clearPageSize() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1203,8 +1218,10 @@ public java.lang.String getPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1228,8 +1245,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1252,8 +1271,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1272,8 +1293,10 @@ public Builder clearPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java
index a610ad271789..7b2bedfaccf2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -58,10 +58,11 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -82,10 +83,11 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -122,8 +124,10 @@ public interface ListEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -137,8 +141,10 @@ public interface ListEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java
index 576bf8e827a7..f2b15b0ff176 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+ * Response message for
+ * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointsOrBuilder(in
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -362,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+   * Response message for
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsResponse}
@@ -943,7 +949,9 @@ public com.google.cloud.aiplatform.v1.Endpoint.Builder addEndpointsBuilder(int i
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -966,7 +974,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -989,7 +999,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1011,7 +1023,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1029,7 +1043,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java
index 8d8ed8910061..2dc7f102c4f7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequest.java
index 36183440b773..f58d04b5dd7d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+ * Request message for
+ * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListEntityTypesRequest}
@@ -232,11 +233,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -260,11 +261,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -603,7 +604,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+   * Request message for
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListEntityTypesRequest}
@@ -1210,11 +1212,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1237,11 +1239,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1264,11 +1266,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1290,11 +1292,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1312,11 +1314,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequestOrBuilder.java
index 45523a8fea3c..a9bdb287d968 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesRequestOrBuilder.java
@@ -130,11 +130,11 @@ public interface ListEntityTypesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -147,11 +147,11 @@ public interface ListEntityTypesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponse.java
index 990a0819daf1..8804acddf50c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+ * Response message for
+ * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListEntityTypesResponse}
@@ -143,9 +144,10 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypesOrBuilde
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -168,9 +170,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+   * Response message for
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListEntityTypesResponse}
@@ -947,9 +951,10 @@ public com.google.cloud.aiplatform.v1.EntityType.Builder addEntityTypesBuilder(i
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -971,9 +976,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -995,9 +1001,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1018,9 +1025,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1037,9 +1045,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponseOrBuilder.java
index e7232b083bd0..a4b8f50f328b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEntityTypesResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListEntityTypesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListEntityTypesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequest.java
index 48e31d7aa8f0..b07fd36289b4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+ * Request message for
+ * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListExecutionsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -558,7 +561,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+   * Request message for
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListExecutionsRequest}
@@ -962,7 +966,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -988,7 +993,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1014,7 +1020,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1039,7 +1046,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1060,7 +1068,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequestOrBuilder.java
index c832d8fe7407..9d84132b52e2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListExecutionsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -90,7 +91,8 @@ public interface ListExecutionsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponse.java
index c4688ad39db7..670b519cfba0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+ * Response message for
+ * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListExecutionsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1.ExecutionOrBuilder getExecutionsOrBuilder(
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+   * Response message for
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListExecutionsResponse}
@@ -946,7 +950,8 @@ public com.google.cloud.aiplatform.v1.Execution.Builder addExecutionsBuilder(int
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -970,7 +975,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -994,7 +1000,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1017,7 +1024,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1036,7 +1044,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponseOrBuilder.java
index 3f5e2e55cbcd..013fa622e5d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListExecutionsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListExecutionsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListExecutionsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequest.java
index f63adeb6b0e6..db9096a03728 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+ * Request message for
+ * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturesRequest}
@@ -236,11 +237,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -264,11 +265,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -401,10 +402,12 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
    *
    *
    * 
-   * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+   * If set, return the most recent
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
    * of stats for each Feature in response. Valid value is [0, 10]. If number of
-   * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-   * existing stats.
+   * stats exists <
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+   * return all existing stats.
    * 

    *
    * int32 latest_stats_count = 7;
@@ -638,7 +641,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+   * Request message for
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturesRequest}
@@ -1267,11 +1271,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1294,11 +1298,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1321,11 +1325,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1347,11 +1351,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1369,11 +1373,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1712,10 +1716,12 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
@@ -1730,10 +1736,12 @@ public int getLatestStatsCount() {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
@@ -1751,10 +1759,12 @@ public Builder setLatestStatsCount(int value) {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequestOrBuilder.java
index 4b1c2d8952c9..914e6aea3f91 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesRequestOrBuilder.java
@@ -134,11 +134,11 @@ public interface ListFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -151,11 +151,11 @@ public interface ListFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -240,10 +240,12 @@ public interface ListFeaturesRequestOrBuilder
    *
    *
    * 
-   * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+   * If set, return the most recent
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
    * of stats for each Feature in response. Valid value is [0, 10]. If number of
-   * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-   * existing stats.
+   * stats exists <
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+   * return all existing stats.
    * 

    *
    * int32 latest_stats_count = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponse.java
index f10b017863c7..6e2e9c2b0aa4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+ * Response message for
+ * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturesResponse}
@@ -143,9 +144,10 @@ public com.google.cloud.aiplatform.v1.FeatureOrBuilder getFeaturesOrBuilder(int
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -168,9 +170,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+   * Response message for
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturesResponse}
@@ -943,9 +947,10 @@ public java.util.List getFeature
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -967,9 +972,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -991,9 +997,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1014,9 +1021,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1033,9 +1041,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponseOrBuilder.java
index 16dc65eea527..5f086599c6be 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturesResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequest.java
index 10b757498923..5729c6d2f57d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+ * Request message for
+ * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturestoresRequest}
@@ -234,11 +235,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -262,11 +263,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -605,7 +606,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+   * Request message for
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturestoresRequest}
@@ -1217,11 +1219,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1244,11 +1246,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1271,11 +1273,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1297,11 +1299,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1319,11 +1321,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequestOrBuilder.java
index fc61bffc9bed..36ff846155b2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresRequestOrBuilder.java
@@ -132,11 +132,11 @@ public interface ListFeaturestoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -149,11 +149,11 @@ public interface ListFeaturestoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponse.java
index 244e4a30b4a9..9ef08abbe325 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+ * Response message for
+ * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturestoresResponse}
@@ -143,9 +144,10 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoresOrBu
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -168,9 +170,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+   * Response message for
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListFeaturestoresResponse}
@@ -951,9 +955,10 @@ public com.google.cloud.aiplatform.v1.Featurestore.Builder addFeaturestoresBuild
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -975,9 +980,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -999,9 +1005,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1022,9 +1029,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1041,9 +1049,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponseOrBuilder.java
index 98d749733235..cfa514849562 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListFeaturestoresResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListFeaturestoresResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListFeaturestoresResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java
index 80f37fc83a7f..de595a1ee9e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+ * Request message for
+ * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest}
@@ -77,8 +78,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -103,8 +105,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -231,8 +234,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -257,8 +262,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -530,7 +537,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+   * Request message for
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest}
@@ -766,8 +774,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -791,8 +800,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -816,8 +826,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -840,8 +851,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -860,8 +872,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -1122,8 +1135,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1147,8 +1162,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1172,8 +1189,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1196,8 +1215,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1216,8 +1237,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java
index 5cdd516da9eb..3bb4fca69d2b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +43,9 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -128,8 +130,10 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +147,10 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java
index c597a19554a0..68b5b852266b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+ * Response message for
+ * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse}
@@ -78,7 +79,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -95,7 +97,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -112,7 +115,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -128,7 +132,8 @@ public int getHyperparameterTuningJobsCount() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -145,7 +150,8 @@ public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterT
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -165,8 +171,9 @@ public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterT
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -190,8 +197,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -390,7 +398,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * Response message for
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse}
@@ -647,7 +656,8 @@ private void ensureHyperparameterTuningJobsIsMutable() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -667,7 +677,8 @@ private void ensureHyperparameterTuningJobsIsMutable() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -686,7 +697,8 @@ public int getHyperparameterTuningJobsCount() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -706,7 +718,8 @@ public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterT
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -732,7 +745,8 @@ public Builder setHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -755,7 +769,8 @@ public Builder setHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -781,7 +796,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -807,7 +823,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -830,7 +847,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -853,7 +871,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -877,7 +896,8 @@ public Builder addAllHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -899,7 +919,8 @@ public Builder clearHyperparameterTuningJobs() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -921,7 +942,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -937,7 +959,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -957,7 +980,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -977,7 +1001,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -994,7 +1019,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -1012,7 +1038,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -1050,8 +1077,9 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1074,8 +1102,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1098,8 +1127,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1121,8 +1151,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1140,8 +1171,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java
index 57c97da65225..a75fa609a5c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java
@@ -28,7 +28,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -42,7 +43,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -68,7 +71,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -82,7 +86,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -97,8 +102,9 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -111,8 +117,9 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequest.java
index 56586ca4e4e5..7edca8e83ad2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+ * Request message for
+ * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexEndpointsRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -130,8 +131,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -168,8 +169,8 @@ public java.lang.String getFilter() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -530,7 +535,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+   * Request message for
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexEndpointsRequest}
@@ -760,8 +766,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -785,8 +791,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -810,8 +816,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -834,8 +840,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -854,8 +860,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -881,8 +887,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -918,8 +924,8 @@ public java.lang.String getFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -955,8 +961,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -991,8 +997,8 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -1023,8 +1029,8 @@ public Builder clearFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -1116,8 +1122,10 @@ public Builder clearPageSize() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1141,8 +1149,10 @@ public java.lang.String getPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1166,8 +1176,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1190,8 +1202,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1210,8 +1224,10 @@ public Builder clearPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequestOrBuilder.java
index abd9d874acd8..485e70f2571e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -58,8 +58,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -85,8 +85,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
@@ -128,8 +128,10 @@ public interface ListIndexEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -143,8 +145,10 @@ public interface ListIndexEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponse.java
index f1e3c7baff4b..20201284db59 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+ * Response message for
+ * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexEndpointsResponse}
@@ -145,7 +146,9 @@ public com.google.cloud.aiplatform.v1.IndexEndpointOrBuilder getIndexEndpointsOr
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -169,7 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+   * Response message for
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexEndpointsResponse}
@@ -955,7 +961,9 @@ public com.google.cloud.aiplatform.v1.IndexEndpoint.Builder addIndexEndpointsBui
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -978,7 +986,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1001,7 +1011,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1023,7 +1035,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1041,7 +1055,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponseOrBuilder.java
index b230a4b0e9b3..b3b5aa3b186e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexEndpointsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListIndexEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListIndexEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequest.java
index 51e79bdf202a..1bc0465f02e2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+ * Request message for
+ * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexesRequest}
@@ -199,8 +200,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -225,8 +228,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -496,7 +501,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+   * Request message for
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexesRequest}
@@ -1007,8 +1013,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1032,8 +1040,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1057,8 +1067,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1081,8 +1093,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1101,8 +1115,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequestOrBuilder.java
index 811337729cbd..941b4566a728 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesRequestOrBuilder.java
@@ -98,8 +98,10 @@ public interface ListIndexesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -113,8 +115,10 @@ public interface ListIndexesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponse.java
index 3aec8b9e51d7..05dacb1e438b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+ * Response message for
+ * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexesResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.IndexOrBuilder getIndexesOrBuilder(int ind
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -362,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+   * Response message for
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListIndexesResponse}
@@ -942,7 +948,9 @@ public java.util.List getIndexesBu
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -965,7 +973,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -988,7 +998,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1010,7 +1022,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1028,7 +1042,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponseOrBuilder.java
index 702c39ca8b8d..8afb93a2b4f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListIndexesResponseOrBuilder.java
@@ -79,7 +79,9 @@ public interface ListIndexesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -92,7 +94,9 @@ public interface ListIndexesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequest.java
index 6894950e5395..9fea373a9ca6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+ * Request message for
+ * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataSchemasRequest}
@@ -153,8 +154,8 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -181,8 +182,8 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -445,7 +446,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+   * Request message for
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataSchemasRequest}
@@ -840,8 +842,8 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -867,8 +869,8 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -894,8 +896,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -920,8 +922,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -942,8 +944,8 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequestOrBuilder.java
index d8aebe085001..86ff6fa0e7eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasRequestOrBuilder.java
@@ -76,8 +76,8 @@ public interface ListMetadataSchemasRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -93,8 +93,8 @@ public interface ListMetadataSchemasRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponse.java
index fd4296e3d54d..4b365d377423 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+ * Response message for
+ * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataSchemasResponse}
@@ -145,8 +146,9 @@ public com.google.cloud.aiplatform.v1.MetadataSchemaOrBuilder getMetadataSchemas
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -170,8 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+   * Response message for
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataSchemasResponse}
@@ -958,8 +962,9 @@ public com.google.cloud.aiplatform.v1.MetadataSchema.Builder addMetadataSchemasB
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -982,8 +987,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1006,8 +1012,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1029,8 +1036,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1048,8 +1056,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponseOrBuilder.java
index 440940b24093..f1ec73ec2434 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataSchemasResponseOrBuilder.java
@@ -80,8 +80,9 @@ public interface ListMetadataSchemasResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -94,8 +95,9 @@ public interface ListMetadataSchemasResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequest.java
index c34a3813b311..362b66f7cd97 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+ * Request message for
+ * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataStoresRequest}
@@ -152,8 +153,8 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -180,8 +181,8 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -386,7 +387,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+   * Request message for
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataStoresRequest}
@@ -768,8 +770,8 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -795,8 +797,8 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -822,8 +824,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -848,8 +850,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -870,8 +872,8 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequestOrBuilder.java
index 993abe240bb2..32e2909aae4a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresRequestOrBuilder.java
@@ -76,8 +76,8 @@ public interface ListMetadataStoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -93,8 +93,8 @@ public interface ListMetadataStoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponse.java
index 95d4cf3adea7..136a52ce6fb5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+ * Response message for
+ * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataStoresResponse}
@@ -145,8 +146,9 @@ public com.google.cloud.aiplatform.v1.MetadataStoreOrBuilder getMetadataStoresOr
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -170,8 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+   * Response message for
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListMetadataStoresResponse}
@@ -957,8 +961,9 @@ public com.google.cloud.aiplatform.v1.MetadataStore.Builder addMetadataStoresBui
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -981,8 +986,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1005,8 +1011,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1028,8 +1035,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1047,8 +1055,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponseOrBuilder.java
index 77cad9f5d1b7..c5357b23a829 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListMetadataStoresResponseOrBuilder.java
@@ -80,8 +80,9 @@ public interface ListMetadataStoresResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -94,8 +95,9 @@ public interface ListMetadataStoresResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java
index d5060267f9b1..41ac62b04628 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+ * Request message for
+ * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest}
@@ -76,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -103,8 +104,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -204,8 +205,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -230,8 +233,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -502,7 +507,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+   * Request message for
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest}
@@ -735,8 +741,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -761,8 +767,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -787,8 +793,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -812,8 +818,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -833,8 +839,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -1026,8 +1032,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1051,8 +1059,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1076,8 +1086,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1100,8 +1112,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1120,8 +1134,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java
index 828293c61d51..4c5d0b9a71b8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -102,8 +102,10 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -117,8 +119,10 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java
index 157d67c541e5..5ada8485cc6b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+ * Response message for
+ * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse}
@@ -153,8 +154,9 @@ public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getModelEvaluationSli
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -178,8 +180,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -376,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+   * Response message for
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse}
@@ -994,8 +998,9 @@ public Builder removeModelEvaluationSlices(int index) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1018,8 +1023,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1042,8 +1048,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1065,8 +1072,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1084,8 +1092,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java
index fc6b60d56476..d49b95b88e87 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java
@@ -87,8 +87,9 @@ com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder getModelEvaluationS
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -101,8 +102,9 @@ com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder getModelEvaluationS
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java
index 65e7f41c9ed9..1f9b86d9d612 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+ * Request message for
+ * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsRequest}
@@ -199,8 +200,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -225,8 +228,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -497,7 +502,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+   * Request message for
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsRequest}
@@ -1008,8 +1014,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1033,8 +1041,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1058,8 +1068,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1082,8 +1094,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1102,8 +1116,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java
index 6500efd36411..50fbe6f9dd85 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java
@@ -98,8 +98,10 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -113,8 +115,10 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java
index 562c117c3cbc..0d9ae027c3ac 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+ * Response message for
+ * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsResponse}
@@ -145,7 +146,9 @@ public com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder getModelEvaluatio
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -169,7 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+   * Response message for
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsResponse}
@@ -957,7 +963,9 @@ public com.google.cloud.aiplatform.v1.ModelEvaluation.Builder addModelEvaluation
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -980,7 +988,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1003,7 +1013,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1025,7 +1037,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1043,7 +1057,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java
index 6f653c964306..11b86486541a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListModelEvaluationsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListModelEvaluationsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequest.java
index 0a089ecf97f2..157a33d2542d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
+ * Request message for
+ * [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelVersionsRequest}
@@ -41,6 +42,7 @@ private ListModelVersionsRequest() {
     name_ = "";
     pageToken_ = "";
     filter_ = "";
+    orderBy_ = "";
   }
 
   @java.lang.Override
@@ -148,8 +150,8 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -174,8 +176,8 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -304,6 +306,65 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
     return getReadMask();
   }
 
+  public static final int ORDER_BY_FIELD_NUMBER = 6;
+  private volatile java.lang.Object orderBy_;
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The orderBy.
+   */
+  @java.lang.Override
+  public java.lang.String getOrderBy() {
+    java.lang.Object ref = orderBy_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      orderBy_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The bytes for orderBy.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOrderByBytes() {
+    java.lang.Object ref = orderBy_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      orderBy_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -333,6 +394,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (readMask_ != null) {
       output.writeMessage(5, getReadMask());
     }
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(orderBy_)) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, orderBy_);
+    }
     getUnknownFields().writeTo(output);
   }
 
@@ -357,6 +421,9 @@ public int getSerializedSize() {
     if (readMask_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getReadMask());
     }
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(orderBy_)) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, orderBy_);
+    }
     size += getUnknownFields().getSerializedSize();
     memoizedSize = size;
     return size;
@@ -381,6 +448,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasReadMask()) {
       if (!getReadMask().equals(other.getReadMask())) return false;
     }
+    if (!getOrderBy().equals(other.getOrderBy())) return false;
     if (!getUnknownFields().equals(other.getUnknownFields())) return false;
     return true;
   }
@@ -404,6 +472,8 @@ public int hashCode() {
       hash = (37 * hash) + READ_MASK_FIELD_NUMBER;
       hash = (53 * hash) + getReadMask().hashCode();
     }
+    hash = (37 * hash) + ORDER_BY_FIELD_NUMBER;
+    hash = (53 * hash) + getOrderBy().hashCode();
     hash = (29 * hash) + getUnknownFields().hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -509,7 +579,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
+   * Request message for
+   * [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelVersionsRequest}
@@ -557,6 +628,8 @@ public Builder clear() {
         readMask_ = null;
         readMaskBuilder_ = null;
       }
+      orderBy_ = "";
+
       return this;
     }
 
@@ -593,6 +666,7 @@ public com.google.cloud.aiplatform.v1.ListModelVersionsRequest buildPartial() {
       } else {
         result.readMask_ = readMaskBuilder_.build();
       }
+      result.orderBy_ = orderBy_;
       onBuilt();
       return result;
     }
@@ -661,6 +735,10 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListModelVersionsRequest
       if (other.hasReadMask()) {
         mergeReadMask(other.getReadMask());
       }
+      if (!other.getOrderBy().isEmpty()) {
+        orderBy_ = other.orderBy_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.getUnknownFields());
       onChanged();
       return this;
@@ -717,6 +795,12 @@ public Builder mergeFrom(
 
                 break;
               } // case 42
+            case 50:
+              {
+                orderBy_ = input.readStringRequireUtf8();
+
+                break;
+              } // case 50
             default:
               {
                 if (!super.parseUnknownField(input, extensionRegistry, tag)) {
@@ -909,8 +993,8 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -934,8 +1018,8 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -959,8 +1043,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -983,8 +1067,8 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -1003,8 +1087,8 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -1343,6 +1427,137 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
       return readMaskBuilder_;
     }
 
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequestOrBuilder.java
index bbbadb26d6c9..79588dbc502b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsRequestOrBuilder.java
@@ -71,8 +71,8 @@ public interface ListModelVersionsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -86,8 +86,8 @@ public interface ListModelVersionsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -169,4 +169,39 @@ public interface ListModelVersionsRequestOrBuilder
    * .google.protobuf.FieldMask read_mask = 5;
    */
   com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponse.java
index e3d9ba1b054a..66e9f556f147 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
+ * Response message for
+ * [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelVersionsResponse}
@@ -154,7 +155,9 @@ public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelsOrBuilder(int inde
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -178,7 +181,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -373,7 +378,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
+   * Response message for
+   * [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelVersionsResponse}
@@ -989,7 +995,9 @@ public java.util.List getModelsBui
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1012,7 +1020,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1035,7 +1045,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1057,7 +1069,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1075,7 +1089,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponseOrBuilder.java
index 3a60771e8cd8..6eac804cd7be 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelVersionsResponseOrBuilder.java
@@ -89,7 +89,9 @@ public interface ListModelVersionsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -102,7 +104,9 @@ public interface ListModelVersionsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java
index e485660ccb0f..21931b158ccc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+ * Request message for
+ * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsRequest}
@@ -134,7 +135,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -169,7 +171,8 @@ public java.lang.String getFilter() {
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -224,8 +227,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -250,8 +255,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -591,7 +598,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+   * Request message for
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsRequest}
@@ -958,7 +966,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -992,7 +1001,8 @@ public java.lang.String getFilter() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1026,7 +1036,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1059,7 +1070,8 @@ public Builder setFilter(java.lang.String value) {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1088,7 +1100,8 @@ public Builder clearFilter() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1175,8 +1188,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1200,8 +1215,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1225,8 +1242,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1249,8 +1268,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1269,8 +1290,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java
index 203c89a88287..dd310255e908 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java
@@ -61,7 +61,8 @@ public interface ListModelsRequestOrBuilder
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -85,7 +86,8 @@ public interface ListModelsRequestOrBuilder
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -122,8 +124,10 @@ public interface ListModelsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -137,8 +141,10 @@ public interface ListModelsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java
index f37c567ab80f..67ad0236ecf1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+ * Response message for
+ * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelsOrBuilder(int inde
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -362,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * Response message for
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsResponse}
@@ -942,7 +948,9 @@ public java.util.List getModelsBui
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -965,7 +973,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -988,7 +998,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1010,7 +1022,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1028,7 +1042,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java
index 7b890059a79d..fa7124294b91 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java
@@ -79,7 +79,9 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -92,7 +94,9 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsRequest.java
index 2d9712433296..11547276bc81 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+ * Request message for
+ * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListOptimalTrialsRequest}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+   * Request message for
+   * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListOptimalTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsResponse.java
index d253e584eef1..88ff36abc42c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListOptimalTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+ * Response message for
+ * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListOptimalTrialsResponse}
@@ -317,7 +318,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+   * Response message for
+   * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListOptimalTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequest.java
index f2aabcc119c2..a8f11704d6d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
+ * Request message for
+ * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListPipelineJobsRequest}
@@ -256,8 +257,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -282,8 +285,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -634,7 +639,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
+   * Request message for
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListPipelineJobsRequest}
@@ -1298,8 +1304,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1323,8 +1331,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1348,8 +1358,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1372,8 +1384,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1392,8 +1406,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequestOrBuilder.java
index 0b8f6c95bc7c..e9c898e5dd58 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsRequestOrBuilder.java
@@ -154,8 +154,10 @@ public interface ListPipelineJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -169,8 +171,10 @@ public interface ListPipelineJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponse.java
index 418af85f992d..c893755a9629 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+ * Response message for
+ * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListPipelineJobsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.PipelineJobOrBuilder getPipelineJobsOrBuil
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+   * Response message for
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListPipelineJobsResponse}
@@ -946,7 +952,9 @@ public com.google.cloud.aiplatform.v1.PipelineJob.Builder addPipelineJobsBuilder
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -969,7 +977,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -992,7 +1002,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1014,7 +1026,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1032,7 +1046,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponseOrBuilder.java
index a5b47a9800f2..28fc76800653 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListPipelineJobsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListPipelineJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListPipelineJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesRequest.java
index 843cedeab624..43ff29e1a096 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+ * Request message for
+ * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListSavedQueriesRequest}
@@ -554,7 +555,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+   * Request message for
+   * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListSavedQueriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesResponse.java
index 26d09a165408..0e610449c0ce 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSavedQueriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+ * Response message for
+ * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListSavedQueriesResponse}
@@ -361,7 +362,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+   * Response message for
+   * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListSavedQueriesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java
index 3c377bef3b7b..aa30bb941398 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+ * Request message for
+ * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsRequest}
@@ -148,9 +149,11 @@ public int getPageSize() {
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -174,9 +177,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -438,7 +443,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+   * Request message for
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsRequest}
@@ -829,9 +835,11 @@ public Builder clearPageSize() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -854,9 +862,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -879,9 +889,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -903,9 +915,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -923,9 +937,11 @@ public Builder clearPageToken() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java
index 0574085527c4..25b9cef48b00 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java
@@ -72,9 +72,11 @@ public interface ListSpecialistPoolsRequestOrBuilder
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -87,9 +89,11 @@ public interface ListSpecialistPoolsRequestOrBuilder
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java
index 3da68d6647d3..b97c020855f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+ * Response message for
+ * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsResponse}
@@ -362,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+   * Response message for
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesRequest.java
index e091e6536305..8e39934fa156 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+ * Request message for
+ * [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListStudiesRequest}
@@ -374,7 +375,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+   * Request message for
+   * [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListStudiesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesResponse.java
index 691e7a2af010..12f2f5ae0c5a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListStudiesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+ * Response message for
+ * [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListStudiesResponse}
@@ -364,7 +365,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+   * Response message for
+   * [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListStudiesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequest.java
index e8b4fc7595a4..bbf4be8bcc03 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+ * Request message for
+ * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest}
@@ -77,8 +78,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -104,8 +105,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -185,8 +186,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    * 
    * The maximum number of TensorboardExperiments to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardExperiments will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardExperiments are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -205,11 +206,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -233,11 +234,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -566,7 +567,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+   * Request message for
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest}
@@ -812,8 +814,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -838,8 +840,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -864,8 +866,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -889,8 +891,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -910,8 +912,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -1046,8 +1048,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1064,8 +1066,8 @@ public int getPageSize() {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1085,8 +1087,8 @@ public Builder setPageSize(int value) {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1106,11 +1108,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1133,11 +1135,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1160,11 +1162,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1186,11 +1188,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1208,11 +1210,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequestOrBuilder.java
index 8cc528fa8f06..12d3c244a48d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -87,8 +87,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    * 
    * The maximum number of TensorboardExperiments to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardExperiments will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardExperiments are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -102,11 +102,11 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponse.java
index 476cf04e123a..76c8655daef9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+ * Response message for
+ * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardExperimentsResponse}
@@ -153,8 +154,9 @@ public com.google.cloud.aiplatform.v1.TensorboardExperiment getTensorboardExperi
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -178,8 +180,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -378,7 +381,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+   * Response message for
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardExperimentsResponse}
@@ -998,8 +1002,9 @@ public Builder removeTensorboardExperiments(int index) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1022,8 +1027,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1046,8 +1052,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1069,8 +1076,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1088,8 +1096,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponseOrBuilder.java
index 9c2f17a8ce06..c2eaa7f7dccb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardExperimentsResponseOrBuilder.java
@@ -87,8 +87,9 @@ com.google.cloud.aiplatform.v1.TensorboardExperimentOrBuilder getTensorboardExpe
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -101,8 +102,9 @@ com.google.cloud.aiplatform.v1.TensorboardExperimentOrBuilder getTensorboardExpe
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequest.java
index 5425b50c13d5..718fa410e531 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+ * Request message for
+ * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardRunsRequest}
@@ -76,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -103,8 +104,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -183,8 +184,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of TensorboardRuns to return. The service may return
-   * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-   * returned. The maximum value is 1000; values above 1000 will be coerced to
+   * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+   * returned. The maximum value is 1000; values above 1000 are coerced to
    * 1000.
    * 

    *
@@ -204,11 +205,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -232,11 +233,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -565,7 +566,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+   * Request message for
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardRunsRequest}
@@ -808,8 +810,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -834,8 +836,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -860,8 +862,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -885,8 +887,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -906,8 +908,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -1041,8 +1043,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1059,8 +1061,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1080,8 +1082,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1102,11 +1104,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1129,11 +1131,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1156,11 +1158,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1182,11 +1184,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1204,11 +1206,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequestOrBuilder.java
index 885a8a755666..2e3df3bb57d5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -86,8 +86,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * The maximum number of TensorboardRuns to return. The service may return
-   * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-   * returned. The maximum value is 1000; values above 1000 will be coerced to
+   * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+   * returned. The maximum value is 1000; values above 1000 are coerced to
    * 1000.
    * 

    *
@@ -102,11 +102,11 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponse.java
index 92768bca191c..a847a480cb08 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+ * Response message for
+ * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardRunsResponse}
@@ -144,9 +145,10 @@ public com.google.cloud.aiplatform.v1.TensorboardRunOrBuilder getTensorboardRuns
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -169,9 +171,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+   * Response message for
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardRunsResponse}
@@ -957,9 +961,10 @@ public com.google.cloud.aiplatform.v1.TensorboardRun.Builder addTensorboardRunsB
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -981,9 +986,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1005,9 +1011,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1028,9 +1035,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1047,9 +1055,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponseOrBuilder.java
index 37573f1302b0..c6b13b7ddb41 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardRunsResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListTensorboardRunsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListTensorboardRunsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequest.java
index a53e4d750cb8..c75de8d62f92 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest}
@@ -77,8 +78,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -104,8 +105,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -185,8 +186,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    * 
    * The maximum number of TensorboardTimeSeries to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardTimeSeries are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -205,11 +206,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -233,11 +234,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -566,7 +567,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest}
@@ -812,8 +814,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -838,8 +840,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -864,8 +866,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -889,8 +891,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -910,8 +912,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -1046,8 +1048,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1064,8 +1066,8 @@ public int getPageSize() {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1085,8 +1087,8 @@ public Builder setPageSize(int value) {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1106,11 +1108,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1133,11 +1135,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1160,11 +1162,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1186,11 +1188,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1208,11 +1210,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequestOrBuilder.java
index 52355b34ab11..0fa79e2a96a5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -87,8 +87,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    * 
    * The maximum number of TensorboardTimeSeries to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardTimeSeries are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -102,11 +102,11 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponse.java
index e38b82024778..f5bf880a6f42 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+ * Response message for
+ * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardTimeSeriesResponse}
@@ -153,8 +154,9 @@ public com.google.cloud.aiplatform.v1.TensorboardTimeSeries getTensorboardTimeSe
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -178,8 +180,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -376,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+   * Response message for
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardTimeSeriesResponse}
@@ -995,8 +999,9 @@ public Builder removeTensorboardTimeSeries(int index) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1019,8 +1024,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1043,8 +1049,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1066,8 +1073,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1085,8 +1093,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponseOrBuilder.java
index 05711a0199eb..8bc1c5a09208 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardTimeSeriesResponseOrBuilder.java
@@ -87,8 +87,9 @@ com.google.cloud.aiplatform.v1.TensorboardTimeSeriesOrBuilder getTensorboardTime
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -101,8 +102,9 @@ com.google.cloud.aiplatform.v1.TensorboardTimeSeriesOrBuilder getTensorboardTime
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequest.java
index 882b428f0372..ac961cb5ec32 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+ * Request message for
+ * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardsRequest}
@@ -183,8 +184,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of Tensorboards to return. The service may return
-   * fewer than this value. If unspecified, at most 100 Tensorboards will be
-   * returned. The maximum value is 100; values above 100 will be coerced to
+   * fewer than this value. If unspecified, at most 100 Tensorboards are
+   * returned. The maximum value is 100; values above 100 are coerced to
    * 100.
    * 

    *
@@ -204,11 +205,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -232,11 +233,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -565,7 +566,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+   * Request message for
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardsRequest}
@@ -1041,8 +1043,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1059,8 +1061,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1080,8 +1082,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1102,11 +1104,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1129,11 +1131,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1156,11 +1158,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1182,11 +1184,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1204,11 +1206,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequestOrBuilder.java
index 69aa7f9d046a..64cfd3e06d31 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsRequestOrBuilder.java
@@ -86,8 +86,8 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * The maximum number of Tensorboards to return. The service may return
-   * fewer than this value. If unspecified, at most 100 Tensorboards will be
-   * returned. The maximum value is 100; values above 100 will be coerced to
+   * fewer than this value. If unspecified, at most 100 Tensorboards are
+   * returned. The maximum value is 100; values above 100 are coerced to
    * 100.
    * 

    *
@@ -102,11 +102,11 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponse.java
index 453b12a7078a..d409c05a3b2e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+ * Response message for
+ * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1.TensorboardOrBuilder getTensorboardsOrBuil
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+   * Response message for
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTensorboardsResponse}
@@ -947,7 +951,8 @@ public com.google.cloud.aiplatform.v1.Tensorboard.Builder addTensorboardsBuilder
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -971,7 +976,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -995,7 +1001,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -1018,7 +1025,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -1037,7 +1045,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponseOrBuilder.java
index 7e92a52e927a..3a7a76d71f64 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTensorboardsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListTensorboardsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListTensorboardsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java
index e03d76722c09..62a74cb72cd6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+ * Request message for
+ * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -527,7 +532,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+   * Request message for
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesRequest}
@@ -757,8 +763,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -782,8 +788,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -807,8 +813,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -831,8 +837,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -851,8 +857,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -1113,8 +1119,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1138,8 +1146,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1163,8 +1173,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1187,8 +1199,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1207,8 +1221,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java
index 069f7aabc5bd..dfce4dac2c12 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTrainingPipelinesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListTrainingPipelinesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -128,8 +128,10 @@ public interface ListTrainingPipelinesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +145,10 @@ public interface ListTrainingPipelinesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java
index be822e4e2426..825ba3d90e61 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+ * Response message for
+ * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesResponse}
@@ -146,7 +147,9 @@ public com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipel
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -170,7 +173,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +371,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * Response message for
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesResponse}
@@ -962,7 +968,9 @@ public com.google.cloud.aiplatform.v1.TrainingPipeline.Builder addTrainingPipeli
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -985,7 +993,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1008,7 +1018,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1030,7 +1042,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1048,7 +1062,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java
index cb89a36cc215..987ae93e41dd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListTrainingPipelinesResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListTrainingPipelinesResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsRequest.java
index de41bf534323..b14c52c8c808 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+ * Request message for
+ * [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTrialsRequest}
@@ -374,7 +375,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+   * Request message for
+   * [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsResponse.java
index 2c23174ba97c..a2eca5de5f7c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+ * Response message for
+ * [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ListTrialsResponse}
@@ -364,7 +365,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+   * Response message for
+   * [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ListTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LookupStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LookupStudyRequest.java
index 74f15b9498ae..1671dbd024eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LookupStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LookupStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
+ * Request message for
+ * [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.LookupStudyRequest}
@@ -344,7 +345,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
+   * Request message for
+   * [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.LookupStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java
index a8c8e37db2a5..17e0325a35b7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java
@@ -79,9 +79,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+   * optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+   * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+   * field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -109,9 +111,11 @@ public java.lang.String getMachineType() {
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+   * optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+   * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+   * field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -137,7 +141,8 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
    * 

    *
@@ -155,7 +160,8 @@ public int getAcceleratorTypeValue() {
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
    * 

    *
@@ -576,9 +582,11 @@ public Builder mergeFrom(
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+     * optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+     * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+     * field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -605,9 +613,11 @@ public java.lang.String getMachineType() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+     * optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+     * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+     * field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -634,9 +644,11 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+     * optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+     * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+     * field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -662,9 +674,11 @@ public Builder setMachineType(java.lang.String value) {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+     * optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+     * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+     * field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -686,9 +700,11 @@ public Builder clearMachineType() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+     * optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+     * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+     * field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -712,7 +728,8 @@ public Builder setMachineTypeBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
      * 

      *
@@ -730,7 +747,8 @@ public int getAcceleratorTypeValue() {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
      * 

      *
@@ -751,7 +769,8 @@ public Builder setAcceleratorTypeValue(int value) {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
      * 

      *
@@ -772,7 +791,8 @@ public com.google.cloud.aiplatform.v1.AcceleratorType getAcceleratorType() {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
      * 

      *
@@ -796,7 +816,8 @@ public Builder setAcceleratorType(com.google.cloud.aiplatform.v1.AcceleratorType
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java
index f72b1eb90cb2..b94588f94ab9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java
@@ -32,9 +32,11 @@ public interface MachineSpecOrBuilder
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+   * optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+   * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+   * field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -51,9 +53,11 @@ public interface MachineSpecOrBuilder
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+   * optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+   * part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+   * field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -66,7 +70,8 @@ public interface MachineSpecOrBuilder
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
    * 

    *
@@ -81,7 +86,8 @@ public interface MachineSpecOrBuilder
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java
index a904d02478ed..556a3c3b1bf5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java
@@ -71,11 +71,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. The number of the records (e.g. instances) of the operation given in
-   * each batch to a machine replica. Machine type, and size of a single
-   * record should be considered when setting this parameter, higher value
-   * speeds up the batch operation's execution, but too high value will result
-   * in a whole batch not fitting in a machine's memory, and the whole
+   * Immutable. The number of the records (e.g. instances) of the operation
+   * given in each batch to a machine replica. Machine type, and size of a
+   * single record should be considered when setting this parameter, higher
+   * value speeds up the batch operation's execution, but too high value will
+   * result in a whole batch not fitting in a machine's memory, and the whole
    * operation will fail.
    * The default value is 64.
    * 

@@ -424,11 +424,11 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

@@ -445,11 +445,11 @@ public int getBatchSize() {
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

@@ -469,11 +469,11 @@ public Builder setBatchSize(int value) {
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java
index e828be484019..69135c4024d2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java
@@ -27,11 +27,11 @@ public interface ManualBatchTuningParametersOrBuilder
    *
    *
    * 
-   * Immutable. The number of the records (e.g. instances) of the operation given in
-   * each batch to a machine replica. Machine type, and size of a single
-   * record should be considered when setting this parameter, higher value
-   * speeds up the batch operation's execution, but too high value will result
-   * in a whole batch not fitting in a machine's memory, and the whole
+   * Immutable. The number of the records (e.g. instances) of the operation
+   * given in each batch to a machine replica. Machine type, and size of a
+   * single record should be considered when setting this parameter, higher
+   * value speeds up the batch operation's execution, but too high value will
+   * result in a whole batch not fitting in a machine's memory, and the whole
    * operation will fail.
    * The default value is 64.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java
index 9d563eee3d0c..7cdba0405e1b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java
@@ -824,7 +824,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric getDefaultInstanceForTy
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -841,7 +842,8 @@ public boolean hasElapsedDuration() {
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -860,7 +862,8 @@ public com.google.protobuf.Duration getElapsedDuration() {
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -878,8 +881,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
    *
    *
    * 
-   * Output only. The number of steps the machine learning model has been trained for.
-   * Must be non-negative.
+   * Output only. The number of steps the machine learning model has been
+   * trained for. Must be non-negative.
    * 

    *
    * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -897,8 +900,8 @@ public long getStepCount() {
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -913,8 +916,8 @@ public java.util.List getMetr
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -930,8 +933,8 @@ public java.util.List getMetr
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -946,8 +949,8 @@ public int getMetricsCount() {
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -962,8 +965,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric getMetrics(int index) {
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -1420,7 +1423,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1436,7 +1440,8 @@ public boolean hasElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1458,7 +1463,8 @@ public com.google.protobuf.Duration getElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1482,7 +1488,8 @@ public Builder setElapsedDuration(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1503,7 +1510,8 @@ public Builder setElapsedDuration(com.google.protobuf.Duration.Builder builderFo
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1531,7 +1539,8 @@ public Builder mergeElapsedDuration(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1553,7 +1562,8 @@ public Builder clearElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1569,7 +1579,8 @@ public com.google.protobuf.Duration.Builder getElapsedDurationBuilder() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1589,7 +1600,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1618,8 +1630,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1634,8 +1646,8 @@ public long getStepCount() {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1653,8 +1665,8 @@ public Builder setStepCount(long value) {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1689,8 +1701,8 @@ private void ensureMetricsIsMutable() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1708,8 +1720,8 @@ public java.util.List getMetr
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1727,8 +1739,8 @@ public int getMetricsCount() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1746,8 +1758,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric getMetrics(int index) {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1771,8 +1783,8 @@ public Builder setMetrics(int index, com.google.cloud.aiplatform.v1.Measurement.
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1794,8 +1806,8 @@ public Builder setMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1819,8 +1831,8 @@ public Builder addMetrics(com.google.cloud.aiplatform.v1.Measurement.Metric valu
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1844,8 +1856,8 @@ public Builder addMetrics(int index, com.google.cloud.aiplatform.v1.Measurement.
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1867,8 +1879,8 @@ public Builder addMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1890,8 +1902,8 @@ public Builder addMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1913,8 +1925,8 @@ public Builder addAllMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1935,8 +1947,8 @@ public Builder clearMetrics() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1957,8 +1969,8 @@ public Builder removeMetrics(int index) {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1972,8 +1984,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder getMetricsBuild
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1992,8 +2004,8 @@ public com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder getMetricsOrBu
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2012,8 +2024,8 @@ public com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder getMetricsOrBu
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2028,8 +2040,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder addMetricsBuild
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2045,8 +2057,8 @@ public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder addMetricsBuild
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java
index 160bff415a46..d0e70279b508 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java
@@ -27,7 +27,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -68,8 +71,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. The number of steps the machine learning model has been trained for.
-   * Must be non-negative.
+   * Output only. The number of steps the machine learning model has been
+   * trained for. Must be non-negative.
    * 

    *
    * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -82,8 +85,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -95,8 +98,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -108,8 +111,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -121,8 +124,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -135,8 +138,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MergeVersionAliasesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MergeVersionAliasesRequest.java
index 7ebd04d2fdba..42afad46b821 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MergeVersionAliasesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MergeVersionAliasesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
+ * Request message for
+ * [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.MergeVersionAliasesRequest}
@@ -406,7 +407,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
+   * Request message for
+   * [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.MergeVersionAliasesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchema.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchema.java
index 16e2fa7b2f99..f3c0a2258057 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchema.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchema.java
@@ -361,9 +361,9 @@ public com.google.protobuf.ByteString getSchemaVersionBytes() {
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -389,9 +389,9 @@ public java.lang.String getSchema() {
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1235,9 +1235,9 @@ public Builder setSchemaVersionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1262,9 +1262,9 @@ public java.lang.String getSchema() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1289,9 +1289,9 @@ public com.google.protobuf.ByteString getSchemaBytes() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1315,9 +1315,9 @@ public Builder setSchema(java.lang.String value) {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1337,9 +1337,9 @@ public Builder clearSchema() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchemaOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchemaOrBuilder.java
index 3b069db9ca41..a44b4eaa8430 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchemaOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MetadataSchemaOrBuilder.java
@@ -81,9 +81,9 @@ public interface MetadataSchemaOrBuilder
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -98,9 +98,9 @@ public interface MetadataSchemaOrBuilder
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java
index 2a910efc158c..b7f42f514b66 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java
@@ -5516,9 +5516,9 @@ public boolean hasDataLabelingDataset() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -5535,9 +5535,9 @@ public boolean hasLastMigrateTime() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -5556,9 +5556,9 @@ public com.google.protobuf.Timestamp getLastMigrateTime() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -7148,9 +7148,9 @@ public Builder clearDataLabelingDataset() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7166,9 +7166,9 @@ public boolean hasLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7190,9 +7190,9 @@ public com.google.protobuf.Timestamp getLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7216,9 +7216,9 @@ public Builder setLastMigrateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7239,9 +7239,9 @@ public Builder setLastMigrateTime(com.google.protobuf.Timestamp.Builder builderF
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7269,9 +7269,9 @@ public Builder mergeLastMigrateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7293,9 +7293,9 @@ public Builder clearLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7311,9 +7311,9 @@ public com.google.protobuf.Timestamp.Builder getLastMigrateTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7333,9 +7333,9 @@ public com.google.protobuf.TimestampOrBuilder getLastMigrateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java
index 3f20b189cef4..b2e1b88b6473 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java
@@ -194,9 +194,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -210,9 +210,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -226,9 +226,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java
index 0f1d872ed3bf..629831dd5a26 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java
@@ -75,9 +75,8 @@ public interface MigrateMlEngineModelVersionConfigOrBuilder
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -93,9 +92,8 @@ public interface MigrateMlEngineModelVersionConfigOrBuilder
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -228,9 +226,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -257,9 +254,8 @@ public java.lang.String getEndpoint() {
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -819,9 +815,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -847,9 +842,8 @@ public java.lang.String getEndpoint() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -875,9 +869,8 @@ public com.google.protobuf.ByteString getEndpointBytes() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -902,9 +895,8 @@ public Builder setEndpoint(java.lang.String value) {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -925,9 +917,8 @@ public Builder clearEndpoint() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -3151,9 +3142,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3168,9 +3159,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3184,9 +3175,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3198,9 +3189,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3217,9 +3208,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4153,9 +4144,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4173,9 +4164,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4195,9 +4186,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4212,9 +4203,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4231,9 +4222,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -5000,9 +4991,9 @@ private void ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5024,9 +5015,9 @@ private void ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5044,9 +5035,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5066,9 +5057,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5096,9 +5087,9 @@ public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5124,9 +5115,9 @@ public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5153,9 +5144,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5183,9 +5174,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5209,9 +5200,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5237,9 +5228,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5267,9 +5258,9 @@ public Builder addAllMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5290,9 +5281,9 @@ public Builder clearMigrateDataLabelingAnnotatedDatasetConfigs() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5313,9 +5304,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5331,9 +5322,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5353,9 +5344,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5379,9 +5370,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5401,9 +5392,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5424,9 +5415,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java
index 7ca53b6c4f67..510a8ef07673 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java
@@ -117,8 +117,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
-     * higher degree of manual configuration.
+     * Resources that are dedicated to the
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
+     * a higher degree of manual configuration.
      * 

      *
      * DEDICATED_RESOURCES = 1;
@@ -139,8 +140,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1.DeployedModel].
-     * A pre-configured [DeploymentResourcePool][] is required.
+     * Resources that can be shared by multiple
+     * [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
+     * pre-configured [DeploymentResourcePool][] is required.
      * 

      *
      * SHARED_RESOURCES = 3;
@@ -163,8 +165,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
-     * higher degree of manual configuration.
+     * Resources that are dedicated to the
+     * [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
+     * a higher degree of manual configuration.
      * 

      *
      * DEDICATED_RESOURCES = 1;
@@ -185,8 +188,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1.DeployedModel].
-     * A pre-configured [DeploymentResourcePool][] is required.
+     * Resources that can be shared by multiple
+     * [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
+     * pre-configured [DeploymentResourcePool][] is required.
      * 

      *
      * SHARED_RESOURCES = 3;
@@ -491,7 +495,8 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * Model artifact and any of its supported files. Will be exported to the
        * location specified by the `artifactDestination` field of the
-       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * ARTIFACT = 1;
@@ -503,7 +508,9 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * The container image that is to be used when deploying this Model. Will
        * be exported to the location specified by the `imageDestination` field
-       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * IMAGE = 2;
@@ -528,7 +535,8 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * Model artifact and any of its supported files. Will be exported to the
        * location specified by the `artifactDestination` field of the
-       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * ARTIFACT = 1;
@@ -540,7 +548,9 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * The container image that is to be used when deploying this Model. Will
        * be exported to the location specified by the `imageDestination` field
-       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * IMAGE = 2;
@@ -2187,7 +2197,9 @@ public com.google.protobuf.ByteString getVersionDescriptionBytes() {
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -2204,7 +2216,9 @@ public boolean hasPredictSchemata() {
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -2223,7 +2237,9 @@ public com.google.cloud.aiplatform.v1.PredictSchemata getPredictSchemata() {
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -2239,10 +2255,10 @@ public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemat
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -2271,10 +2287,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -2306,8 +2322,9 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2323,8 +2340,9 @@ public boolean hasMetadata() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2340,8 +2358,9 @@ public com.google.protobuf.Value getMetadata() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2358,8 +2377,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2375,8 +2394,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2392,8 +2411,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2408,8 +2427,8 @@ public int getSupportedExportFormatsCount() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2424,8 +2443,8 @@ public com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportForma
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2444,8 +2463,8 @@ public com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportForma
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -2470,8 +2489,8 @@ public java.lang.String getTrainingPipeline() {
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -2499,10 +2518,10 @@ public com.google.protobuf.ByteString getTrainingPipelineBytes() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2520,10 +2539,10 @@ public boolean hasContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2543,10 +2562,10 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2565,9 +2584,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSp
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2590,9 +2608,8 @@ public java.lang.String getArtifactUri() {
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2633,16 +2650,22 @@ public com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType convert(
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -2663,16 +2686,22 @@ public com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType convert(
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -2690,16 +2719,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -2720,16 +2755,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -2748,16 +2789,22 @@ public java.util.List getSupportedDeploymentResourcesTypesVal
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -2783,9 +2830,10 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2793,10 +2841,12 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2806,11 +2856,16 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -2828,9 +2883,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2838,10 +2894,12 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2851,11 +2909,16 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -2873,9 +2936,10 @@ public int getSupportedInputStorageFormatsCount() {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2883,10 +2947,12 @@ public int getSupportedInputStorageFormatsCount() {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2896,11 +2962,16 @@ public int getSupportedInputStorageFormatsCount() {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -2919,9 +2990,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2929,10 +3001,12 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2942,11 +3016,16 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -2968,12 +3047,14 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -2988,9 +3069,13 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -3008,12 +3093,14 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3028,9 +3115,13 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -3048,12 +3139,14 @@ public int getSupportedOutputStorageFormatsCount() {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3068,9 +3161,13 @@ public int getSupportedOutputStorageFormatsCount() {
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -3089,12 +3186,14 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3109,9 +3208,13 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -3230,8 +3333,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3246,8 +3349,8 @@ public java.util.List getDeploy
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3263,8 +3366,8 @@ public java.util.List getDeploy
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3279,8 +3382,8 @@ public int getDeployedModelsCount() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3295,8 +3398,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef getDeployedModels(int ind
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3318,22 +3421,26 @@ public com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModel
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -3351,22 +3458,26 @@ public boolean hasExplanationSpec() {
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -3386,22 +3497,26 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -3633,8 +3748,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3651,8 +3766,8 @@ public boolean hasModelSourceInfo() {
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3671,8 +3786,8 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfo getModelSourceInfo() {
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3690,8 +3805,9 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfoOrBuilder getModelSourceInf
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -3715,8 +3831,9 @@ public java.lang.String getMetadataArtifact() {
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -6209,7 +6326,9 @@ public Builder setVersionDescriptionBytes(com.google.protobuf.ByteString value)
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6225,7 +6344,9 @@ public boolean hasPredictSchemata() {
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6247,7 +6368,9 @@ public com.google.cloud.aiplatform.v1.PredictSchemata getPredictSchemata() {
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6271,7 +6394,9 @@ public Builder setPredictSchemata(com.google.cloud.aiplatform.v1.PredictSchemata
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6293,7 +6418,9 @@ public Builder setPredictSchemata(
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6321,7 +6448,9 @@ public Builder mergePredictSchemata(com.google.cloud.aiplatform.v1.PredictSchema
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6343,7 +6472,9 @@ public Builder clearPredictSchemata() {
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6359,7 +6490,9 @@ public com.google.cloud.aiplatform.v1.PredictSchemata.Builder getPredictSchemata
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6379,7 +6512,9 @@ public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemat
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -6406,10 +6541,10 @@ public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemat
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6437,10 +6572,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6468,10 +6603,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6498,10 +6633,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6524,10 +6659,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6562,8 +6697,9 @@ public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6578,8 +6714,9 @@ public boolean hasMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6598,8 +6735,9 @@ public com.google.protobuf.Value getMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6622,8 +6760,9 @@ public Builder setMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6643,8 +6782,9 @@ public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6669,8 +6809,9 @@ public Builder mergeMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6691,8 +6832,9 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6707,8 +6849,9 @@ public com.google.protobuf.Value.Builder getMetadataBuilder() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6725,8 +6868,9 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6771,8 +6915,8 @@ private void ensureSupportedExportFormatsIsMutable() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6791,8 +6935,8 @@ private void ensureSupportedExportFormatsIsMutable() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6810,8 +6954,8 @@ public int getSupportedExportFormatsCount() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6829,8 +6973,8 @@ public com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportForma
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6855,8 +6999,8 @@ public Builder setSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6878,8 +7022,8 @@ public Builder setSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6904,8 +7048,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6930,8 +7074,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6953,8 +7097,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6976,8 +7120,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6999,8 +7143,8 @@ public Builder addAllSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7021,8 +7165,8 @@ public Builder clearSupportedExportFormats() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7043,8 +7187,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7059,8 +7203,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7079,8 +7223,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7099,8 +7243,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7116,8 +7260,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7134,8 +7278,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7172,8 +7316,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7197,8 +7341,8 @@ public java.lang.String getTrainingPipeline() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7222,8 +7366,8 @@ public com.google.protobuf.ByteString getTrainingPipelineBytes() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7246,8 +7390,8 @@ public Builder setTrainingPipeline(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7266,8 +7410,8 @@ public Builder clearTrainingPipeline() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7298,10 +7442,10 @@ public Builder setTrainingPipelineBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7318,10 +7462,10 @@ public boolean hasContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7344,10 +7488,10 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7372,10 +7516,10 @@ public Builder setContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerSpe
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7398,10 +7542,10 @@ public Builder setContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7430,10 +7574,10 @@ public Builder mergeContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerS
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7456,10 +7600,10 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7476,10 +7620,10 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder getContainerSpe
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7500,10 +7644,10 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSp
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7533,9 +7677,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSp
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7557,9 +7700,8 @@ public java.lang.String getArtifactUri() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7581,9 +7723,8 @@ public com.google.protobuf.ByteString getArtifactUriBytes() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7604,9 +7745,8 @@ public Builder setArtifactUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7623,9 +7763,8 @@ public Builder clearArtifactUri() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7658,16 +7797,22 @@ private void ensureSupportedDeploymentResourcesTypesIsMutable() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7687,16 +7832,22 @@ private void ensureSupportedDeploymentResourcesTypesIsMutable() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7713,16 +7864,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7742,16 +7899,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7777,16 +7940,22 @@ public Builder setSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7811,16 +7980,22 @@ public Builder addSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7845,16 +8020,22 @@ public Builder addAllSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7874,16 +8055,22 @@ public Builder clearSupportedDeploymentResourcesTypes() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7901,16 +8088,22 @@ public java.util.List getSupportedDeploymentResourcesTypesVal
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7929,16 +8122,22 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7960,16 +8159,22 @@ public Builder setSupportedDeploymentResourcesTypesValue(int index, int value) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -7990,16 +8195,22 @@ public Builder addSupportedDeploymentResourcesTypesValue(int value) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+     * has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
      * 

      *
@@ -8036,9 +8247,10 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8046,10 +8258,12 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8059,11 +8273,16 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8081,9 +8300,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8091,10 +8311,12 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8104,11 +8326,16 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8126,9 +8353,10 @@ public int getSupportedInputStorageFormatsCount() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8136,10 +8364,12 @@ public int getSupportedInputStorageFormatsCount() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8149,11 +8379,16 @@ public int getSupportedInputStorageFormatsCount() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8172,9 +8407,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8182,10 +8418,12 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8195,11 +8433,16 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8218,9 +8461,10 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8228,10 +8472,12 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8241,11 +8487,16 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8271,9 +8522,10 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8281,10 +8533,12 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8294,11 +8548,16 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8323,9 +8582,10 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8333,10 +8593,12 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8346,11 +8608,16 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8372,9 +8639,10 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8382,10 +8650,12 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable
      *
@@ -8420,9 +8695,10 @@ public Builder clearSupportedInputStorageFormats() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8430,10 +8706,12 @@ public Builder clearSupportedInputStorageFormats() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8443,11 +8721,16 @@ public Builder clearSupportedInputStorageFormats() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8484,12 +8767,14 @@ private void ensureSupportedOutputStorageFormatsIsMutable() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8504,9 +8789,13 @@ private void ensureSupportedOutputStorageFormatsIsMutable() {
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8524,12 +8813,14 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8544,9 +8835,13 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8564,12 +8859,14 @@ public int getSupportedOutputStorageFormatsCount() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8584,9 +8881,13 @@ public int getSupportedOutputStorageFormatsCount() {
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8605,12 +8906,14 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8625,9 +8928,13 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8646,12 +8953,14 @@ public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8666,9 +8975,13 @@ public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8694,12 +9007,14 @@ public Builder setSupportedOutputStorageFormats(int index, java.lang.String valu
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8714,9 +9029,13 @@ public Builder setSupportedOutputStorageFormats(int index, java.lang.String valu
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8741,12 +9060,14 @@ public Builder addSupportedOutputStorageFormats(java.lang.String value) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8761,9 +9082,13 @@ public Builder addSupportedOutputStorageFormats(java.lang.String value) {
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8787,12 +9112,14 @@ public Builder addAllSupportedOutputStorageFormats(
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8807,9 +9134,13 @@ public Builder addAllSupportedOutputStorageFormats(
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -8830,12 +9161,14 @@ public Builder clearSupportedOutputStorageFormats() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8850,9 +9183,13 @@ public Builder clearSupportedOutputStorageFormats() {
      * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
      * 

      *
@@ -9298,8 +9635,8 @@ private void ensureDeployedModelsIsMutable() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9317,8 +9654,8 @@ public java.util.List getDeploy
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9336,8 +9673,8 @@ public int getDeployedModelsCount() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9355,8 +9692,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef getDeployedModels(int ind
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9381,8 +9718,8 @@ public Builder setDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9404,8 +9741,8 @@ public Builder setDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9429,8 +9766,8 @@ public Builder addDeployedModels(com.google.cloud.aiplatform.v1.DeployedModelRef
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9455,8 +9792,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9478,8 +9815,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9501,8 +9838,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9524,8 +9861,8 @@ public Builder addAllDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9546,8 +9883,8 @@ public Builder clearDeployedModels() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9568,8 +9905,8 @@ public Builder removeDeployedModels(int index) {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9584,8 +9921,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder getDeployedModels
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9604,8 +9941,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModel
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9624,8 +9961,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModel
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9640,8 +9977,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder addDeployedModels
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9657,8 +9994,8 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder addDeployedModels
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9703,22 +10040,26 @@ public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder addDeployedModels
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9735,22 +10076,26 @@ public boolean hasExplanationSpec() {
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9773,22 +10118,26 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec getExplanationSpec() {
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9813,22 +10162,26 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSpec
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9851,22 +10204,26 @@ public Builder setExplanationSpec(
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9895,22 +10252,26 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1.ExplanationSp
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9933,22 +10294,26 @@ public Builder clearExplanationSpec() {
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -9965,22 +10330,26 @@ public com.google.cloud.aiplatform.v1.ExplanationSpec.Builder getExplanationSpec
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -10001,22 +10370,26 @@ public com.google.cloud.aiplatform.v1.ExplanationSpecOrBuilder getExplanationSpe
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+     * populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+     * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
      * 

      *
      * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -10540,8 +10913,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10557,8 +10930,8 @@ public boolean hasModelSourceInfo() {
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10580,8 +10953,8 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfo getModelSourceInfo() {
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10605,8 +10978,8 @@ public Builder setModelSourceInfo(com.google.cloud.aiplatform.v1.ModelSourceInfo
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10628,8 +11001,8 @@ public Builder setModelSourceInfo(
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10657,8 +11030,8 @@ public Builder mergeModelSourceInfo(com.google.cloud.aiplatform.v1.ModelSourceIn
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10680,8 +11053,8 @@ public Builder clearModelSourceInfo() {
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10697,8 +11070,8 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfo.Builder getModelSourceInfo
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10718,8 +11091,8 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfoOrBuilder getModelSourceInf
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10748,8 +11121,9 @@ public com.google.cloud.aiplatform.v1.ModelSourceInfoOrBuilder getModelSourceInf
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10772,8 +11146,9 @@ public java.lang.String getMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10796,8 +11171,9 @@ public com.google.protobuf.ByteString getMetadataArtifactBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10819,8 +11195,9 @@ public Builder setMetadataArtifact(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10838,8 +11215,9 @@ public Builder clearMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java
index 394a0af584e0..bdb7feb6db95 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java
@@ -81,13 +81,15 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -118,13 +120,15 @@ public java.lang.String getImageUri() {
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -158,13 +162,14 @@ public com.google.protobuf.ByteString getImageUriBytes() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -178,18 +183,16 @@ public com.google.protobuf.ByteString getImageUriBytes() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -204,13 +207,14 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -224,18 +228,16 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -250,13 +252,14 @@ public int getCommandCount() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -270,18 +273,16 @@ public int getCommandCount() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -297,13 +298,14 @@ public java.lang.String getCommand(int index) {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -317,18 +319,16 @@ public java.lang.String getCommand(int index) {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -347,16 +347,16 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -367,18 +367,16 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -393,16 +391,16 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -413,18 +411,16 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -439,16 +435,16 @@ public int getArgsCount() {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -459,18 +455,16 @@ public int getArgsCount() {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -486,16 +480,16 @@ public java.lang.String getArgs(int index) {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -506,18 +500,16 @@ public java.lang.String getArgs(int index) {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -536,13 +528,15 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -574,13 +568,15 @@ public java.util.List getEnvList() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -613,13 +609,15 @@ public java.util.List getEnvList() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -651,13 +649,15 @@ public int getEnvCount() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -689,13 +689,15 @@ public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -894,18 +896,19 @@ public com.google.cloud.aiplatform.v1.PortOrBuilder getPortsOrBuilder(int index)
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -913,7 +916,9 @@ public com.google.cloud.aiplatform.v1.PortOrBuilder getPortsOrBuilder(int index)
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -939,18 +944,19 @@ public java.lang.String getPredictRoute() {
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -958,7 +964,9 @@ public java.lang.String getPredictRoute() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -997,7 +1005,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -1005,7 +1014,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -1041,7 +1052,8 @@ public java.lang.String getHealthRoute() {
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -1049,7 +1061,9 @@ public java.lang.String getHealthRoute() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -1670,13 +1684,15 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1706,13 +1722,15 @@ public java.lang.String getImageUri() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1742,13 +1760,15 @@ public com.google.protobuf.ByteString getImageUriBytes() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1777,13 +1797,15 @@ public Builder setImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1808,13 +1830,15 @@ public Builder clearImageUri() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1854,13 +1878,14 @@ private void ensureCommandIsMutable() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -1874,18 +1899,16 @@ private void ensureCommandIsMutable() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -1900,13 +1923,14 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -1920,18 +1944,16 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -1946,13 +1968,14 @@ public int getCommandCount() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -1966,18 +1989,16 @@ public int getCommandCount() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -1993,13 +2014,14 @@ public java.lang.String getCommand(int index) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2013,18 +2035,16 @@ public java.lang.String getCommand(int index) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2040,13 +2060,14 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2060,18 +2081,16 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2094,13 +2113,14 @@ public Builder setCommand(int index, java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2114,18 +2134,16 @@ public Builder setCommand(int index, java.lang.String value) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2147,13 +2165,14 @@ public Builder addCommand(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2167,18 +2186,16 @@ public Builder addCommand(java.lang.String value) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2197,13 +2214,14 @@ public Builder addAllCommand(java.lang.Iterable values) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2217,18 +2235,16 @@ public Builder addAllCommand(java.lang.Iterable values) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2246,13 +2262,14 @@ public Builder clearCommand() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
      * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
      * if either exists. If this field is not specified and the container does not
      * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -2266,18 +2283,16 @@ public Builder clearCommand() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `command` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `command` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2310,16 +2325,16 @@ private void ensureArgsIsMutable() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2330,18 +2345,16 @@ private void ensureArgsIsMutable() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2356,16 +2369,16 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2376,18 +2389,16 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2402,16 +2413,16 @@ public int getArgsCount() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2422,18 +2433,16 @@ public int getArgsCount() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2449,16 +2458,16 @@ public java.lang.String getArgs(int index) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2469,18 +2478,16 @@ public java.lang.String getArgs(int index) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2496,16 +2503,16 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2516,18 +2523,16 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2550,16 +2555,16 @@ public Builder setArgs(int index, java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2570,18 +2575,16 @@ public Builder setArgs(int index, java.lang.String value) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2603,16 +2606,16 @@ public Builder addArgs(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2623,18 +2626,16 @@ public Builder addArgs(java.lang.String value) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2653,16 +2654,16 @@ public Builder addAllArgs(java.lang.Iterable values) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2673,18 +2674,16 @@ public Builder addAllArgs(java.lang.Iterable values) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2702,16 +2701,16 @@ public Builder clearArgs() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
-     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+     * then the command from the `command` field runs without any additional
+     * arguments. See the [Kubernetes documentation about how the `command` and
+     * `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
      * then the container's
@@ -2722,18 +2721,16 @@ public Builder clearArgs() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
-     * following syntax:
-     * <code>$(<var>VARIABLE_NAME</var>)</code>
-     * Note that this differs from Bash variable expansion, which does not use
-     * parentheses. If a variable cannot be resolved, the reference in the input
-     * string is used unchanged. To avoid variable expansion, you can escape this
-     * syntax with `$$`; for example:
-     * <code>$$(<var>VARIABLE_NAME</var>)</code>
-     * This field corresponds to the `args` field of the Kubernetes Containers
-     * [v1 core
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+     * reference environment variables set in the Docker image. In order for
+     * environment variables to be expanded, reference them by using the following
+     * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+     * from Bash variable expansion, which does not use parentheses. If a variable
+     * cannot be resolved, the reference in the input string is used unchanged. To
+     * avoid variable expansion, you can escape this syntax with `$$`; for
+     * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+     * to the `args` field of the Kubernetes Containers [v1 core
      * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
      * 

      *
@@ -2773,13 +2770,15 @@ private void ensureEnvIsMutable() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2814,13 +2813,15 @@ public java.util.List getEnvList() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2855,13 +2856,15 @@ public int getEnvCount() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2896,13 +2899,15 @@ public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2943,13 +2948,15 @@ public Builder setEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2988,13 +2995,15 @@ public Builder setEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3035,13 +3044,15 @@ public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar value) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3082,13 +3093,15 @@ public Builder addEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3126,13 +3139,15 @@ public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar.Builder builderForVa
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3171,13 +3186,15 @@ public Builder addEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3216,13 +3233,15 @@ public Builder addAllEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3260,13 +3279,15 @@ public Builder clearEnv() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3304,13 +3325,15 @@ public Builder removeEnv(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3341,13 +3364,15 @@ public com.google.cloud.aiplatform.v1.EnvVar.Builder getEnvBuilder(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3382,13 +3407,15 @@ public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index)
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3424,13 +3451,15 @@ public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index)
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3462,13 +3491,15 @@ public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3500,13 +3531,15 @@ public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -4246,18 +4279,19 @@ public java.util.List getPortsBuild
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4265,7 +4299,9 @@ public java.util.List getPortsBuild
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4290,18 +4326,19 @@ public java.lang.String getPredictRoute() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4309,7 +4346,9 @@ public java.lang.String getPredictRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4334,18 +4373,19 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4353,7 +4393,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4377,18 +4419,19 @@ public Builder setPredictRoute(java.lang.String value) {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4396,7 +4439,9 @@ public Builder setPredictRoute(java.lang.String value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4416,18 +4461,19 @@ public Builder clearPredictRoute() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4435,7 +4481,9 @@ public Builder clearPredictRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4472,7 +4520,8 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4480,7 +4529,9 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4515,7 +4566,8 @@ public java.lang.String getHealthRoute() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4523,7 +4575,9 @@ public java.lang.String getHealthRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4558,7 +4612,8 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4566,7 +4621,9 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4600,7 +4657,8 @@ public Builder setHealthRoute(java.lang.String value) {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4608,7 +4666,9 @@ public Builder setHealthRoute(java.lang.String value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4638,7 +4698,8 @@ public Builder clearHealthRoute() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4646,7 +4707,9 @@ public Builder clearHealthRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java
index db651bba82ea..c8746c163421 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java
@@ -27,13 +27,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -53,13 +55,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -80,13 +84,14 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -100,18 +105,16 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -124,13 +127,14 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -144,18 +148,16 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -168,13 +170,14 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -188,18 +191,16 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -213,13 +214,14 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
    * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
    * if either exists. If this field is not specified and the container does not
    * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -233,18 +235,16 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `command` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `command` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -259,16 +259,16 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -279,18 +279,16 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -303,16 +301,16 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -323,18 +321,16 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -347,16 +343,16 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -367,18 +363,16 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -392,16 +386,16 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
-   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+   * then the command from the `command` field runs without any additional
+   * arguments. See the [Kubernetes documentation about how the `command` and
+   * `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
    * then the container's
@@ -412,18 +406,16 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
-   * following syntax:
-   * <code>$(<var>VARIABLE_NAME</var>)</code>
-   * Note that this differs from Bash variable expansion, which does not use
-   * parentheses. If a variable cannot be resolved, the reference in the input
-   * string is used unchanged. To avoid variable expansion, you can escape this
-   * syntax with `$$`; for example:
-   * <code>$$(<var>VARIABLE_NAME</var>)</code>
-   * This field corresponds to the `args` field of the Kubernetes Containers
-   * [v1 core
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+   * reference environment variables set in the Docker image. In order for
+   * environment variables to be expanded, reference them by using the following
+   * syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs
+   * from Bash variable expansion, which does not use parentheses. If a variable
+   * cannot be resolved, the reference in the input string is used unchanged. To
+   * avoid variable expansion, you can escape this syntax with `$$`; for
+   * example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds
+   * to the `args` field of the Kubernetes Containers [v1 core
    * API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
    * 

    *
@@ -438,13 +430,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -473,13 +467,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -508,13 +504,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -543,13 +541,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -578,13 +578,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -760,18 +762,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -779,7 +782,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -794,18 +799,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -813,7 +819,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -839,7 +847,8 @@ public interface ModelContainerSpecOrBuilder
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -847,7 +856,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -872,7 +883,8 @@ public interface ModelContainerSpecOrBuilder
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -880,7 +892,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJob.java
index 65732e59cfe4..15bc50d48f58 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJob.java
@@ -1682,8 +1682,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1699,8 +1699,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1718,8 +1718,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1734,8 +1734,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1751,8 +1751,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1994,10 +1994,12 @@ public com.google.protobuf.ByteString getPredictInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2012,10 +2014,12 @@ public boolean hasSamplePredictInstance() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2032,10 +2036,12 @@ public com.google.protobuf.Value getSamplePredictInstance() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2119,9 +2125,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2139,9 +2145,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2160,9 +2166,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2179,9 +2185,9 @@ public int getBigqueryTablesCount() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2199,9 +2205,9 @@ public com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable get
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2441,7 +2447,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2457,7 +2464,8 @@ public boolean hasUpdateTime() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2473,7 +2481,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2490,8 +2499,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -2508,8 +2517,8 @@ public boolean hasNextScheduleTime() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -2528,8 +2537,8 @@ public com.google.protobuf.Timestamp getNextScheduleTime() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -4676,8 +4685,8 @@ private void ensureModelDeploymentMonitoringObjectiveConfigsIsMutable() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4696,8 +4705,8 @@ private void ensureModelDeploymentMonitoringObjectiveConfigsIsMutable() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4715,8 +4724,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4735,8 +4744,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4761,8 +4770,8 @@ public Builder setModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4787,8 +4796,8 @@ public Builder setModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4813,8 +4822,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4839,8 +4848,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4863,8 +4872,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4889,8 +4898,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4915,8 +4924,8 @@ public Builder addAllModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4937,8 +4946,8 @@ public Builder clearModelDeploymentMonitoringObjectiveConfigs() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4959,8 +4968,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4975,8 +4984,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4995,8 +5004,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5017,8 +5026,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5036,8 +5045,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5056,8 +5065,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5854,10 +5863,12 @@ public Builder setPredictInstanceSchemaUriBytes(com.google.protobuf.ByteString v
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5871,10 +5882,12 @@ public boolean hasSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5894,10 +5907,12 @@ public com.google.protobuf.Value getSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5919,10 +5934,12 @@ public Builder setSamplePredictInstance(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5941,10 +5958,12 @@ public Builder setSamplePredictInstance(com.google.protobuf.Value.Builder builde
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5970,10 +5989,12 @@ public Builder mergeSamplePredictInstance(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5993,10 +6014,12 @@ public Builder clearSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6010,10 +6033,12 @@ public com.google.protobuf.Value.Builder getSamplePredictInstanceBuilder() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6031,10 +6056,12 @@ public com.google.protobuf.ValueOrBuilder getSamplePredictInstanceOrBuilder() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6230,9 +6257,9 @@ private void ensureBigqueryTablesIsMutable() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6253,9 +6280,9 @@ private void ensureBigqueryTablesIsMutable() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6275,9 +6302,9 @@ public int getBigqueryTablesCount() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6298,9 +6325,9 @@ public com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable get
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6327,9 +6354,9 @@ public Builder setBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6355,9 +6382,9 @@ public Builder setBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6384,9 +6411,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6413,9 +6440,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6440,9 +6467,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6468,9 +6495,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6496,9 +6523,9 @@ public Builder addAllBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6521,9 +6548,9 @@ public Builder clearBigqueryTables() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6546,9 +6573,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6565,9 +6592,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6588,9 +6615,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6613,9 +6640,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6635,9 +6662,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6658,9 +6685,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -7296,7 +7323,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7312,7 +7340,8 @@ public boolean hasUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7334,7 +7363,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7358,7 +7388,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7379,7 +7410,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7405,7 +7437,8 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7427,7 +7460,8 @@ public Builder clearUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7443,7 +7477,8 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7463,7 +7498,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7497,8 +7533,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7514,8 +7550,8 @@ public boolean hasNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7537,8 +7573,8 @@ public com.google.protobuf.Timestamp getNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7562,8 +7598,8 @@ public Builder setNextScheduleTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7584,8 +7620,8 @@ public Builder setNextScheduleTime(com.google.protobuf.Timestamp.Builder builder
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7613,8 +7649,8 @@ public Builder mergeNextScheduleTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7636,8 +7672,8 @@ public Builder clearNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7653,8 +7689,8 @@ public com.google.protobuf.Timestamp.Builder getNextScheduleTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7674,8 +7710,8 @@ public com.google.protobuf.TimestampOrBuilder getNextScheduleTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJobOrBuilder.java
index 6ab6b6bc309b..08c95d9cfaa2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringJobOrBuilder.java
@@ -225,8 +225,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -239,8 +239,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -253,8 +253,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -266,8 +266,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -282,8 +282,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -454,10 +454,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -469,10 +471,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -484,10 +488,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -541,9 +547,9 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -558,9 +564,9 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -575,9 +581,9 @@ com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable getBigquer
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -591,9 +597,9 @@ com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable getBigquer
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -609,9 +615,9 @@ com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable getBigquer
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -790,7 +796,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -803,7 +810,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -816,7 +824,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -828,8 +837,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -843,8 +852,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -858,8 +867,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfig.java
index 9f7b48a8af68..0f8ae1d097be 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfig.java
@@ -73,8 +73,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -90,8 +91,9 @@ public boolean hasMonitorInterval() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -109,8 +111,9 @@ public com.google.protobuf.Duration getMonitorInterval() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -130,10 +133,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -152,10 +155,10 @@ public boolean hasMonitorWindow() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -176,10 +179,10 @@ public com.google.protobuf.Duration getMonitorWindow() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -585,8 +588,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -602,8 +606,9 @@ public boolean hasMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -625,8 +630,9 @@ public com.google.protobuf.Duration getMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -650,8 +656,9 @@ public Builder setMonitorInterval(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -672,8 +679,9 @@ public Builder setMonitorInterval(com.google.protobuf.Duration.Builder builderFo
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -701,8 +709,9 @@ public Builder mergeMonitorInterval(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -724,8 +733,9 @@ public Builder clearMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -741,8 +751,9 @@ public com.google.protobuf.Duration.Builder getMonitorIntervalBuilder() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -762,8 +773,9 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -800,10 +812,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -821,10 +833,10 @@ public boolean hasMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -848,10 +860,10 @@ public com.google.protobuf.Duration getMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -877,10 +889,10 @@ public Builder setMonitorWindow(com.google.protobuf.Duration value) {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -903,10 +915,10 @@ public Builder setMonitorWindow(com.google.protobuf.Duration.Builder builderForV
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -936,10 +948,10 @@ public Builder mergeMonitorWindow(com.google.protobuf.Duration value) {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -963,10 +975,10 @@ public Builder clearMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -984,10 +996,10 @@ public com.google.protobuf.Duration.Builder getMonitorWindowBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -1009,10 +1021,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorWindowOrBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
index e4bcc22b66d7..05dfb04889e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
@@ -27,8 +27,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -41,8 +42,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -55,8 +57,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -71,10 +74,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -90,10 +93,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -109,10 +112,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java
index 61a40e08b4bb..143511e7ec8c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java
@@ -1160,8 +1160,8 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1186,8 +1186,8 @@ public java.lang.String getMetricsSchemaUri() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1314,8 +1314,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1331,8 +1331,8 @@ public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1348,8 +1348,8 @@ public int getSliceDimensionsCount() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1366,8 +1366,8 @@ public java.lang.String getSliceDimensions(int index) {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1567,8 +1567,9 @@ public com.google.cloud.aiplatform.v1.ModelExplanationOrBuilder getModelExplanat
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1585,8 +1586,9 @@ public com.google.cloud.aiplatform.v1.ModelExplanationOrBuilder getModelExplanat
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1605,8 +1607,9 @@ public com.google.cloud.aiplatform.v1.ModelExplanationOrBuilder getModelExplanat
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1621,8 +1624,9 @@ public int getExplanationSpecsCount() {
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1638,8 +1642,9 @@ public int getExplanationSpecsCount() {
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -2592,8 +2597,8 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2617,8 +2622,8 @@ public java.lang.String getMetricsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2642,8 +2647,8 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2666,8 +2671,8 @@ public Builder setMetricsSchemaUri(java.lang.String value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2686,8 +2691,8 @@ public Builder clearMetricsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -3110,8 +3115,8 @@ private void ensureSliceDimensionsIsMutable() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3127,8 +3132,8 @@ public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3144,8 +3149,8 @@ public int getSliceDimensionsCount() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3162,8 +3167,8 @@ public java.lang.String getSliceDimensions(int index) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3180,8 +3185,8 @@ public com.google.protobuf.ByteString getSliceDimensionsBytes(int index) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3205,8 +3210,8 @@ public Builder setSliceDimensions(int index, java.lang.String value) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3229,8 +3234,8 @@ public Builder addSliceDimensions(java.lang.String value) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3250,8 +3255,8 @@ public Builder addAllSliceDimensions(java.lang.Iterable values
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3270,8 +3275,8 @@ public Builder clearSliceDimensions() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3800,8 +3805,9 @@ private void ensureExplanationSpecsIsMutable() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3821,8 +3827,9 @@ private void ensureExplanationSpecsIsMutable() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3840,8 +3847,9 @@ public int getExplanationSpecsCount() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3860,8 +3868,9 @@ public int getExplanationSpecsCount() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3887,8 +3896,9 @@ public Builder setExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3912,8 +3922,9 @@ public Builder setExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3938,8 +3949,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3965,8 +3977,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3989,8 +4002,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4014,8 +4028,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4040,8 +4055,9 @@ public Builder addAllExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4062,8 +4078,9 @@ public Builder clearExplanationSpecs() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4084,8 +4101,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4100,8 +4118,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4120,8 +4139,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4143,8 +4163,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4162,8 +4183,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -4182,8 +4204,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+     * for explaining the predicted values on the evaluated data.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java
index bef2998911cb..8225e83196c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java
@@ -78,8 +78,8 @@ public interface ModelEvaluationOrBuilder
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -93,8 +93,8 @@ public interface ModelEvaluationOrBuilder
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -186,8 +186,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -201,8 +201,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -216,8 +216,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -232,8 +232,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -366,8 +366,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -380,8 +381,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -394,8 +396,9 @@ com.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec ge
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -407,8 +410,9 @@ com.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec ge
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -424,8 +428,9 @@ com.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec ge
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+   * for explaining the predicted values on the evaluated data.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java
index 02d14bb1f086..76a379915cd5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java
@@ -81,8 +81,10 @@ public interface SliceOrBuilder
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -97,8 +99,10 @@ public interface SliceOrBuilder
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -191,8 +195,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -218,8 +224,10 @@ public java.lang.String getDimension() {
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -653,8 +661,10 @@ public Builder mergeFrom(
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -679,8 +689,10 @@ public java.lang.String getDimension() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -705,8 +717,10 @@ public com.google.protobuf.ByteString getDimensionBytes() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -730,8 +744,10 @@ public Builder setDimension(java.lang.String value) {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -751,8 +767,10 @@ public Builder clearDimension() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1050,9 +1068,10 @@ public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder getSli
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+   * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1076,9 +1095,10 @@ public java.lang.String getMetricsSchemaUri() {
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+   * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1105,8 +1125,9 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1121,8 +1142,9 @@ public boolean hasMetrics() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1137,8 +1159,9 @@ public com.google.protobuf.Value getMetrics() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1967,9 +1990,10 @@ public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder getSli
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+     * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1992,9 +2016,10 @@ public java.lang.String getMetricsSchemaUri() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+     * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2017,9 +2042,10 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+     * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2041,9 +2067,10 @@ public Builder setMetricsSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+     * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2061,9 +2088,10 @@ public Builder clearMetricsSchemaUri() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+     * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2093,8 +2121,9 @@ public Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2108,8 +2137,9 @@ public boolean hasMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2127,8 +2157,9 @@ public com.google.protobuf.Value getMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2150,8 +2181,9 @@ public Builder setMetrics(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2170,8 +2202,9 @@ public Builder setMetrics(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2194,8 +2227,9 @@ public Builder mergeMetrics(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2215,8 +2249,9 @@ public Builder clearMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2230,8 +2265,9 @@ public com.google.protobuf.Value.Builder getMetricsBuilder() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2247,8 +2283,9 @@ public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java
index 52f96fc3bec7..6a0be7b00fc1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java
@@ -93,9 +93,10 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+   * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -108,9 +109,10 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+   * ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -124,8 +126,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -137,8 +140,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -150,8 +154,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanation.java
index 55d53d627d41..c52e301c8ad4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanation.java
@@ -73,21 +73,25 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -102,21 +106,25 @@ public java.util.List getMeanAttribu
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -132,21 +140,25 @@ public java.util.List getMeanAttribu
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -161,21 +173,25 @@ public int getMeanAttributionsCount() {
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -190,21 +206,25 @@ public com.google.cloud.aiplatform.v1.Attribution getMeanAttributions(int index)
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -616,21 +636,25 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -648,21 +672,25 @@ public java.util.List getMeanAttribu
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -680,21 +708,25 @@ public int getMeanAttributionsCount() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -712,21 +744,25 @@ public com.google.cloud.aiplatform.v1.Attribution getMeanAttributions(int index)
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -751,21 +787,25 @@ public Builder setMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -787,21 +827,25 @@ public Builder setMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -825,21 +869,25 @@ public Builder addMeanAttributions(com.google.cloud.aiplatform.v1.Attribution va
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -864,21 +912,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -900,21 +952,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -936,21 +992,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -972,21 +1032,25 @@ public Builder addAllMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1007,21 +1071,25 @@ public Builder clearMeanAttributions() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1042,21 +1110,25 @@ public Builder removeMeanAttributions(int index) {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1071,21 +1143,25 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder getMeanAttributionsBui
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1104,21 +1180,25 @@ public com.google.cloud.aiplatform.v1.AttributionOrBuilder getMeanAttributionsOr
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1137,21 +1217,25 @@ public com.google.cloud.aiplatform.v1.AttributionOrBuilder getMeanAttributionsOr
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1166,21 +1250,25 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder addMeanAttributionsBui
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1196,21 +1284,25 @@ public com.google.cloud.aiplatform.v1.Attribution.Builder addMeanAttributionsBui
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanationOrBuilder.java
index ce3fed3116a5..98fbdd631454 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelExplanationOrBuilder.java
@@ -27,21 +27,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -53,21 +57,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -79,21 +87,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -105,21 +117,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -132,21 +148,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelMonitoringObjectiveConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelMonitoringObjectiveConfig.java
index cca853766fdc..2ddba9e270c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelMonitoringObjectiveConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelMonitoringObjectiveConfig.java
@@ -6179,8 +6179,10 @@ public interface ExplanationBaselineOrBuilder
      *
      *
      * 
-     * Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
-     * which can be used to generate baseline attribution scores.
+     * Output from
+     * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
+     * Model Monitoring baseline dataset, which can be used to generate baseline
+     * attribution scores.
      * 

      *
      * Protobuf type {@code
@@ -6829,8 +6831,10 @@ protected Builder newBuilderForType(
        *
        *
        * 
-       * Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
-       * which can be used to generate baseline attribution scores.
+       * Output from
+       * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
+       * Model Monitoring baseline dataset, which can be used to generate baseline
+       * attribution scores.
        * 

        *
        * Protobuf type {@code
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java
index 83ada70b015d..ace28cfc1b8a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java
@@ -333,7 +333,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -347,7 +349,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -361,7 +365,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;
@@ -372,10 +378,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -393,10 +399,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -415,8 +421,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -429,8 +436,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -443,8 +451,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -456,8 +465,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -469,8 +478,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -482,8 +491,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -495,8 +504,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -509,8 +518,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -524,8 +533,8 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -539,8 +548,8 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -555,10 +564,10 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -573,10 +582,10 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -591,10 +600,10 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -608,9 +617,8 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -622,9 +630,8 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -637,16 +644,22 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -662,16 +675,22 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -686,16 +705,22 @@ com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFor
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -712,16 +737,22 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -737,16 +768,22 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+   * has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
    * 

    *
@@ -765,9 +802,10 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -775,10 +813,12 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -788,11 +828,16 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -808,9 +853,10 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -818,10 +864,12 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -831,11 +879,16 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -851,9 +904,10 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -861,10 +915,12 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -874,11 +930,16 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -895,9 +956,10 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -905,10 +967,12 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
@@ -918,11 +982,16 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -940,12 +1009,14 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -960,9 +1031,13 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -978,12 +1053,14 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -998,9 +1075,13 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -1016,12 +1097,14 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -1036,9 +1119,13 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -1055,12 +1142,14 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -1075,9 +1164,13 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
    * 

    *
@@ -1170,8 +1263,8 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1183,8 +1276,8 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1196,8 +1289,8 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1209,8 +1302,8 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1223,8 +1316,8 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1240,22 +1333,26 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -1270,22 +1367,26 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -1300,22 +1401,26 @@ com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploym
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+   * populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+   * of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 23;
@@ -1470,8 +1575,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1485,8 +1590,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1500,8 +1605,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1514,8 +1619,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -1528,8 +1634,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java
index 1adefcd456fb..5ae387cc0038 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java
@@ -172,163 +172,164 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "oogle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001"
           + "(\t\"`\n\022ListModelsResponse\0221\n\006models\030\001 \003(\013"
           + "2!.google.cloud.aiplatform.v1.Model\022\027\n\017n"
-          + "ext_page_token\030\002 \001(\t\"\267\001\n\030ListModelVersio"
+          + "ext_page_token\030\002 \001(\t\"\311\001\n\030ListModelVersio"
           + "nsRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatf"
           + "orm.googleapis.com/Model\022\021\n\tpage_size\030\002 "
           + "\001(\005\022\022\n\npage_token\030\003 \001(\t\022\016\n\006filter\030\004 \001(\t\022"
           + "-\n\tread_mask\030\005 \001(\0132\032.google.protobuf.Fie"
-          + "ldMask\"g\n\031ListModelVersionsResponse\0221\n\006m"
-          + "odels\030\001 \003(\0132!.google.cloud.aiplatform.v1"
-          + ".Model\022\027\n\017next_page_token\030\002 \001(\t\"\201\001\n\022Upda"
-          + "teModelRequest\0225\n\005model\030\001 \001(\0132!.google.c"
-          + "loud.aiplatform.v1.ModelB\003\340A\002\0224\n\013update_"
-          + "mask\030\002 \001(\0132\032.google.protobuf.FieldMaskB\003"
-          + "\340A\002\"K\n\022DeleteModelRequest\0225\n\004name\030\001 \001(\tB"
-          + "\'\340A\002\372A!\n\037aiplatform.googleapis.com/Model"
-          + "\"R\n\031DeleteModelVersionRequest\0225\n\004name\030\001 "
-          + "\001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.com/M"
-          + "odel\"q\n\032MergeVersionAliasesRequest\0225\n\004na"
-          + "me\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis."
-          + "com/Model\022\034\n\017version_aliases\030\002 \003(\tB\003\340A\002\""
-          + "\356\002\n\022ExportModelRequest\0225\n\004name\030\001 \001(\tB\'\340A"
-          + "\002\372A!\n\037aiplatform.googleapis.com/Model\022W\n"
-          + "\routput_config\030\002 \001(\0132;.google.cloud.aipl"
-          + "atform.v1.ExportModelRequest.OutputConfi"
-          + "gB\003\340A\002\032\307\001\n\014OutputConfig\022\030\n\020export_format"
-          + "_id\030\001 \001(\t\022H\n\024artifact_destination\030\003 \001(\0132"
-          + "*.google.cloud.aiplatform.v1.GcsDestinat"
-          + "ion\022S\n\021image_destination\030\004 \001(\01328.google."
-          + "cloud.aiplatform.v1.ContainerRegistryDes"
-          + "tination\"\234\002\n\034ExportModelOperationMetadat"
-          + "a\022N\n\020generic_metadata\030\001 \001(\01324.google.clo"
-          + "ud.aiplatform.v1.GenericOperationMetadat"
-          + "a\022]\n\013output_info\030\002 \001(\0132C.google.cloud.ai"
-          + "platform.v1.ExportModelOperationMetadata"
-          + ".OutputInfoB\003\340A\003\032M\n\nOutputInfo\022 \n\023artifa"
-          + "ct_output_uri\030\002 \001(\tB\003\340A\003\022\035\n\020image_output"
-          + "_uri\030\003 \001(\tB\003\340A\003\"\025\n\023ExportModelResponse\"\243"
-          + "\001\n\034ImportModelEvaluationRequest\0227\n\006paren"
-          + "t\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.c"
-          + "om/Model\022J\n\020model_evaluation\030\002 \001(\0132+.goo"
-          + "gle.cloud.aiplatform.v1.ModelEvaluationB"
-          + "\003\340A\002\"\304\001\n\'BatchImportModelEvaluationSlice"
-          + "sRequest\022A\n\006parent\030\001 \001(\tB1\340A\002\372A+\n)aiplat"
-          + "form.googleapis.com/ModelEvaluation\022V\n\027m"
-          + "odel_evaluation_slices\030\002 \003(\01320.google.cl"
-          + "oud.aiplatform.v1.ModelEvaluationSliceB\003"
-          + "\340A\002\"Y\n(BatchImportModelEvaluationSlicesR"
-          + "esponse\022-\n imported_model_evaluation_sli"
-          + "ces\030\001 \003(\tB\003\340A\003\"\\\n\031GetModelEvaluationRequ"
-          + "est\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.go"
-          + "ogleapis.com/ModelEvaluation\"\274\001\n\033ListMod"
-          + "elEvaluationsRequest\0227\n\006parent\030\001 \001(\tB\'\340A"
-          + "\002\372A!\n\037aiplatform.googleapis.com/Model\022\016\n"
-          + "\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage"
-          + "_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.google"
-          + ".protobuf.FieldMask\"\177\n\034ListModelEvaluati"
-          + "onsResponse\022F\n\021model_evaluations\030\001 \003(\0132+"
-          + ".google.cloud.aiplatform.v1.ModelEvaluat"
-          + "ion\022\027\n\017next_page_token\030\002 \001(\t\"f\n\036GetModel"
-          + "EvaluationSliceRequest\022D\n\004name\030\001 \001(\tB6\340A"
-          + "\002\372A0\n.aiplatform.googleapis.com/ModelEva"
-          + "luationSlice\"\313\001\n ListModelEvaluationSlic"
-          + "esRequest\022A\n\006parent\030\001 \001(\tB1\340A\002\372A+\n)aipla"
-          + "tform.googleapis.com/ModelEvaluation\022\016\n\006"
-          + "filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_"
-          + "token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.google."
-          + "protobuf.FieldMask\"\217\001\n!ListModelEvaluati"
-          + "onSlicesResponse\022Q\n\027model_evaluation_sli"
-          + "ces\030\001 \003(\01320.google.cloud.aiplatform.v1.M"
-          + "odelEvaluationSlice\022\027\n\017next_page_token\030\002"
-          + " \001(\t2\362\031\n\014ModelService\022\340\001\n\013UploadModel\022.."
-          + "google.cloud.aiplatform.v1.UploadModelRe"
-          + "quest\032\035.google.longrunning.Operation\"\201\001\202"
-          + "\323\344\223\0026\"1/v1/{parent=projects/*/locations/"
-          + "*}/models:upload:\001*\332A\014parent,model\312A3\n\023U"
-          + "ploadModelResponse\022\034UploadModelOperation"
-          + "Metadata\022\225\001\n\010GetModel\022+.google.cloud.aip"
-          + "latform.v1.GetModelRequest\032!.google.clou"
-          + "d.aiplatform.v1.Model\"9\202\323\344\223\002,\022*/v1/{name"
-          + "=projects/*/locations/*/models/*}\332A\004name"
-          + "\022\250\001\n\nListModels\022-.google.cloud.aiplatfor"
-          + "m.v1.ListModelsRequest\032..google.cloud.ai"
-          + "platform.v1.ListModelsResponse\";\202\323\344\223\002,\022*"
-          + "/v1/{parent=projects/*/locations/*}/mode"
-          + "ls\332A\006parent\022\310\001\n\021ListModelVersions\0224.goog"
-          + "le.cloud.aiplatform.v1.ListModelVersions"
-          + "Request\0325.google.cloud.aiplatform.v1.Lis"
-          + "tModelVersionsResponse\"F\202\323\344\223\0029\0227/v1/{nam"
-          + "e=projects/*/locations/*/models/*}:listV"
-          + "ersions\332A\004name\022\265\001\n\013UpdateModel\022..google."
-          + "cloud.aiplatform.v1.UpdateModelRequest\032!"
-          + ".google.cloud.aiplatform.v1.Model\"S\202\323\344\223\002"
-          + "920/v1/{model.name=projects/*/locations/"
-          + "*/models/*}:\005model\332A\021model,update_mask\022\312"
-          + "\001\n\013DeleteModel\022..google.cloud.aiplatform"
-          + ".v1.DeleteModelRequest\032\035.google.longrunn"
-          + "ing.Operation\"l\202\323\344\223\002,**/v1/{name=project"
-          + "s/*/locations/*/models/*}\332A\004name\312A0\n\025goo"
-          + "gle.protobuf.Empty\022\027DeleteOperationMetad"
-          + "ata\022\346\001\n\022DeleteModelVersion\0225.google.clou"
-          + "d.aiplatform.v1.DeleteModelVersionReques"
-          + "t\032\035.google.longrunning.Operation\"z\202\323\344\223\002:"
-          + "*8/v1/{name=projects/*/locations/*/model"
-          + "s/*}:deleteVersion\332A\004name\312A0\n\025google.pro"
-          + "tobuf.Empty\022\027DeleteOperationMetadata\022\322\001\n"
-          + "\023MergeVersionAliases\0226.google.cloud.aipl"
-          + "atform.v1.MergeVersionAliasesRequest\032!.g"
-          + "oogle.cloud.aiplatform.v1.Model\"`\202\323\344\223\002C\""
-          + ">/v1/{name=projects/*/locations/*/models"
-          + "/*}:mergeVersionAliases:\001*\332A\024name,versio"
-          + "n_aliases\022\346\001\n\013ExportModel\022..google.cloud"
-          + ".aiplatform.v1.ExportModelRequest\032\035.goog"
-          + "le.longrunning.Operation\"\207\001\202\323\344\223\0026\"1/v1/{"
-          + "name=projects/*/locations/*/models/*}:ex"
-          + "port:\001*\332A\022name,output_config\312A3\n\023ExportM"
-          + "odelResponse\022\034ExportModelOperationMetada"
-          + "ta\022\344\001\n\025ImportModelEvaluation\0228.google.cl"
-          + "oud.aiplatform.v1.ImportModelEvaluationR"
-          + "equest\032+.google.cloud.aiplatform.v1.Mode"
-          + "lEvaluation\"d\202\323\344\223\002D\"?/v1/{parent=project"
-          + "s/*/locations/*/models/*}/evaluations:im"
-          + "port:\001*\332A\027parent,model_evaluation\022\250\002\n Ba"
-          + "tchImportModelEvaluationSlices\022C.google."
-          + "cloud.aiplatform.v1.BatchImportModelEval"
-          + "uationSlicesRequest\032D.google.cloud.aipla"
-          + "tform.v1.BatchImportModelEvaluationSlice"
-          + "sResponse\"y\202\323\344\223\002R\"M/v1/{parent=projects/"
-          + "*/locations/*/models/*/evaluations/*}/sl"
-          + "ices:batchImport:\001*\332A\036parent,model_evalu"
-          + "ation_slices\022\301\001\n\022GetModelEvaluation\0225.go"
-          + "ogle.cloud.aiplatform.v1.GetModelEvaluat"
-          + "ionRequest\032+.google.cloud.aiplatform.v1."
-          + "ModelEvaluation\"G\202\323\344\223\002:\0228/v1/{name=proje"
-          + "cts/*/locations/*/models/*/evaluations/*"
-          + "}\332A\004name\022\324\001\n\024ListModelEvaluations\0227.goog"
+          + "ldMask\022\020\n\010order_by\030\006 \001(\t\"g\n\031ListModelVer"
+          + "sionsResponse\0221\n\006models\030\001 \003(\0132!.google.c"
+          + "loud.aiplatform.v1.Model\022\027\n\017next_page_to"
+          + "ken\030\002 \001(\t\"\201\001\n\022UpdateModelRequest\0225\n\005mode"
+          + "l\030\001 \001(\0132!.google.cloud.aiplatform.v1.Mod"
+          + "elB\003\340A\002\0224\n\013update_mask\030\002 \001(\0132\032.google.pr"
+          + "otobuf.FieldMaskB\003\340A\002\"K\n\022DeleteModelRequ"
+          + "est\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.go"
+          + "ogleapis.com/Model\"R\n\031DeleteModelVersion"
+          + "Request\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatfor"
+          + "m.googleapis.com/Model\"q\n\032MergeVersionAl"
+          + "iasesRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aipl"
+          + "atform.googleapis.com/Model\022\034\n\017version_a"
+          + "liases\030\002 \003(\tB\003\340A\002\"\356\002\n\022ExportModelRequest"
+          + "\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googl"
+          + "eapis.com/Model\022W\n\routput_config\030\002 \001(\0132;"
+          + ".google.cloud.aiplatform.v1.ExportModelR"
+          + "equest.OutputConfigB\003\340A\002\032\307\001\n\014OutputConfi"
+          + "g\022\030\n\020export_format_id\030\001 \001(\t\022H\n\024artifact_"
+          + "destination\030\003 \001(\0132*.google.cloud.aiplatf"
+          + "orm.v1.GcsDestination\022S\n\021image_destinati"
+          + "on\030\004 \001(\01328.google.cloud.aiplatform.v1.Co"
+          + "ntainerRegistryDestination\"\234\002\n\034ExportMod"
+          + "elOperationMetadata\022N\n\020generic_metadata\030"
+          + "\001 \001(\01324.google.cloud.aiplatform.v1.Gener"
+          + "icOperationMetadata\022]\n\013output_info\030\002 \001(\013"
+          + "2C.google.cloud.aiplatform.v1.ExportMode"
+          + "lOperationMetadata.OutputInfoB\003\340A\003\032M\n\nOu"
+          + "tputInfo\022 \n\023artifact_output_uri\030\002 \001(\tB\003\340"
+          + "A\003\022\035\n\020image_output_uri\030\003 \001(\tB\003\340A\003\"\025\n\023Exp"
+          + "ortModelResponse\"\243\001\n\034ImportModelEvaluati"
+          + "onRequest\0227\n\006parent\030\001 \001(\tB\'\340A\002\372A!\n\037aipla"
+          + "tform.googleapis.com/Model\022J\n\020model_eval"
+          + "uation\030\002 \001(\0132+.google.cloud.aiplatform.v"
+          + "1.ModelEvaluationB\003\340A\002\"\304\001\n\'BatchImportMo"
+          + "delEvaluationSlicesRequest\022A\n\006parent\030\001 \001"
+          + "(\tB1\340A\002\372A+\n)aiplatform.googleapis.com/Mo"
+          + "delEvaluation\022V\n\027model_evaluation_slices"
+          + "\030\002 \003(\01320.google.cloud.aiplatform.v1.Mode"
+          + "lEvaluationSliceB\003\340A\002\"Y\n(BatchImportMode"
+          + "lEvaluationSlicesResponse\022-\n imported_mo"
+          + "del_evaluation_slices\030\001 \003(\tB\003\340A\003\"\\\n\031GetM"
+          + "odelEvaluationRequest\022?\n\004name\030\001 \001(\tB1\340A\002"
+          + "\372A+\n)aiplatform.googleapis.com/ModelEval"
+          + "uation\"\274\001\n\033ListModelEvaluationsRequest\0227"
+          + "\n\006parent\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googl"
+          + "eapis.com/Model\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_"
+          + "size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_m"
+          + "ask\030\005 \001(\0132\032.google.protobuf.FieldMask\"\177\n"
+          + "\034ListModelEvaluationsResponse\022F\n\021model_e"
+          + "valuations\030\001 \003(\0132+.google.cloud.aiplatfo"
+          + "rm.v1.ModelEvaluation\022\027\n\017next_page_token"
+          + "\030\002 \001(\t\"f\n\036GetModelEvaluationSliceRequest"
+          + "\022D\n\004name\030\001 \001(\tB6\340A\002\372A0\n.aiplatform.googl"
+          + "eapis.com/ModelEvaluationSlice\"\313\001\n ListM"
+          + "odelEvaluationSlicesRequest\022A\n\006parent\030\001 "
+          + "\001(\tB1\340A\002\372A+\n)aiplatform.googleapis.com/M"
+          + "odelEvaluation\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_s"
+          + "ize\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_ma"
+          + "sk\030\005 \001(\0132\032.google.protobuf.FieldMask\"\217\001\n"
+          + "!ListModelEvaluationSlicesResponse\022Q\n\027mo"
+          + "del_evaluation_slices\030\001 \003(\01320.google.clo"
+          + "ud.aiplatform.v1.ModelEvaluationSlice\022\027\n"
+          + "\017next_page_token\030\002 \001(\t2\362\031\n\014ModelService\022"
+          + "\340\001\n\013UploadModel\022..google.cloud.aiplatfor"
+          + "m.v1.UploadModelRequest\032\035.google.longrun"
+          + "ning.Operation\"\201\001\202\323\344\223\0026\"1/v1/{parent=pro"
+          + "jects/*/locations/*}/models:upload:\001*\332A\014"
+          + "parent,model\312A3\n\023UploadModelResponse\022\034Up"
+          + "loadModelOperationMetadata\022\225\001\n\010GetModel\022"
+          + "+.google.cloud.aiplatform.v1.GetModelReq"
+          + "uest\032!.google.cloud.aiplatform.v1.Model\""
+          + "9\202\323\344\223\002,\022*/v1/{name=projects/*/locations/"
+          + "*/models/*}\332A\004name\022\250\001\n\nListModels\022-.goog"
+          + "le.cloud.aiplatform.v1.ListModelsRequest"
+          + "\032..google.cloud.aiplatform.v1.ListModels"
+          + "Response\";\202\323\344\223\002,\022*/v1/{parent=projects/*"
+          + "/locations/*}/models\332A\006parent\022\310\001\n\021ListMo"
+          + "delVersions\0224.google.cloud.aiplatform.v1"
+          + ".ListModelVersionsRequest\0325.google.cloud"
+          + ".aiplatform.v1.ListModelVersionsResponse"
+          + "\"F\202\323\344\223\0029\0227/v1/{name=projects/*/locations"
+          + "/*/models/*}:listVersions\332A\004name\022\265\001\n\013Upd"
+          + "ateModel\022..google.cloud.aiplatform.v1.Up"
+          + "dateModelRequest\032!.google.cloud.aiplatfo"
+          + "rm.v1.Model\"S\202\323\344\223\002920/v1/{model.name=pro"
+          + "jects/*/locations/*/models/*}:\005model\332A\021m"
+          + "odel,update_mask\022\312\001\n\013DeleteModel\022..googl"
+          + "e.cloud.aiplatform.v1.DeleteModelRequest"
+          + "\032\035.google.longrunning.Operation\"l\202\323\344\223\002,*"
+          + "*/v1/{name=projects/*/locations/*/models"
+          + "/*}\332A\004name\312A0\n\025google.protobuf.Empty\022\027De"
+          + "leteOperationMetadata\022\346\001\n\022DeleteModelVer"
+          + "sion\0225.google.cloud.aiplatform.v1.Delete"
+          + "ModelVersionRequest\032\035.google.longrunning"
+          + ".Operation\"z\202\323\344\223\002:*8/v1/{name=projects/*"
+          + "/locations/*/models/*}:deleteVersion\332A\004n"
+          + "ame\312A0\n\025google.protobuf.Empty\022\027DeleteOpe"
+          + "rationMetadata\022\322\001\n\023MergeVersionAliases\0226"
+          + ".google.cloud.aiplatform.v1.MergeVersion"
+          + "AliasesRequest\032!.google.cloud.aiplatform"
+          + ".v1.Model\"`\202\323\344\223\002C\">/v1/{name=projects/*/"
+          + "locations/*/models/*}:mergeVersionAliase"
+          + "s:\001*\332A\024name,version_aliases\022\346\001\n\013ExportMo"
+          + "del\022..google.cloud.aiplatform.v1.ExportM"
+          + "odelRequest\032\035.google.longrunning.Operati"
+          + "on\"\207\001\202\323\344\223\0026\"1/v1/{name=projects/*/locati"
+          + "ons/*/models/*}:export:\001*\332A\022name,output_"
+          + "config\312A3\n\023ExportModelResponse\022\034ExportMo"
+          + "delOperationMetadata\022\344\001\n\025ImportModelEval"
+          + "uation\0228.google.cloud.aiplatform.v1.Impo"
+          + "rtModelEvaluationRequest\032+.google.cloud."
+          + "aiplatform.v1.ModelEvaluation\"d\202\323\344\223\002D\"?/"
+          + "v1/{parent=projects/*/locations/*/models"
+          + "/*}/evaluations:import:\001*\332A\027parent,model"
+          + "_evaluation\022\250\002\n BatchImportModelEvaluati"
+          + "onSlices\022C.google.cloud.aiplatform.v1.Ba"
+          + "tchImportModelEvaluationSlicesRequest\032D."
+          + "google.cloud.aiplatform.v1.BatchImportMo"
+          + "delEvaluationSlicesResponse\"y\202\323\344\223\002R\"M/v1"
+          + "/{parent=projects/*/locations/*/models/*"
+          + "/evaluations/*}/slices:batchImport:\001*\332A\036"
+          + "parent,model_evaluation_slices\022\301\001\n\022GetMo"
+          + "delEvaluation\0225.google.cloud.aiplatform."
+          + "v1.GetModelEvaluationRequest\032+.google.cl"
+          + "oud.aiplatform.v1.ModelEvaluation\"G\202\323\344\223\002"
+          + ":\0228/v1/{name=projects/*/locations/*/mode"
+          + "ls/*/evaluations/*}\332A\004name\022\324\001\n\024ListModel"
+          + "Evaluations\0227.google.cloud.aiplatform.v1"
+          + ".ListModelEvaluationsRequest\0328.google.cl"
+          + "oud.aiplatform.v1.ListModelEvaluationsRe"
+          + "sponse\"I\202\323\344\223\002:\0228/v1/{parent=projects/*/l"
+          + "ocations/*/models/*}/evaluations\332A\006paren"
+          + "t\022\331\001\n\027GetModelEvaluationSlice\022:.google.c"
+          + "loud.aiplatform.v1.GetModelEvaluationSli"
+          + "ceRequest\0320.google.cloud.aiplatform.v1.M"
+          + "odelEvaluationSlice\"P\202\323\344\223\002C\022A/v1/{name=p"
+          + "rojects/*/locations/*/models/*/evaluatio"
+          + "ns/*/slices/*}\332A\004name\022\354\001\n\031ListModelEvalu"
+          + "ationSlices\022<.google.cloud.aiplatform.v1"
+          + ".ListModelEvaluationSlicesRequest\032=.goog"
           + "le.cloud.aiplatform.v1.ListModelEvaluati"
-          + "onsRequest\0328.google.cloud.aiplatform.v1."
-          + "ListModelEvaluationsResponse\"I\202\323\344\223\002:\0228/v"
-          + "1/{parent=projects/*/locations/*/models/"
-          + "*}/evaluations\332A\006parent\022\331\001\n\027GetModelEval"
-          + "uationSlice\022:.google.cloud.aiplatform.v1"
-          + ".GetModelEvaluationSliceRequest\0320.google"
-          + ".cloud.aiplatform.v1.ModelEvaluationSlic"
-          + "e\"P\202\323\344\223\002C\022A/v1/{name=projects/*/location"
-          + "s/*/models/*/evaluations/*/slices/*}\332A\004n"
-          + "ame\022\354\001\n\031ListModelEvaluationSlices\022<.goog"
-          + "le.cloud.aiplatform.v1.ListModelEvaluati"
-          + "onSlicesRequest\032=.google.cloud.aiplatfor"
-          + "m.v1.ListModelEvaluationSlicesResponse\"R"
-          + "\202\323\344\223\002C\022A/v1/{parent=projects/*/locations"
-          + "/*/models/*/evaluations/*}/slices\332A\006pare"
-          + "nt\032M\312A\031aiplatform.googleapis.com\322A.https"
-          + "://www.googleapis.com/auth/cloud-platfor"
-          + "mB\325\001\n\036com.google.cloud.aiplatform.v1B\021Mo"
-          + "delServiceProtoP\001ZDgoogle.golang.org/gen"
-          + "proto/googleapis/cloud/aiplatform/v1;aip"
-          + "latform\252\002\032Google.Cloud.AIPlatform.V1\312\002\032G"
-          + "oogle\\Cloud\\AIPlatform\\V1\352\002\035Google::Clou"
-          + "d::AIPlatform::V1b\006proto3"
+          + "onSlicesResponse\"R\202\323\344\223\002C\022A/v1/{parent=pr"
+          + "ojects/*/locations/*/models/*/evaluation"
+          + "s/*}/slices\332A\006parent\032M\312A\031aiplatform.goog"
+          + "leapis.com\322A.https://www.googleapis.com/"
+          + "auth/cloud-platformB\325\001\n\036com.google.cloud"
+          + ".aiplatform.v1B\021ModelServiceProtoP\001ZDgoo"
+          + "gle.golang.org/genproto/googleapis/cloud"
+          + "/aiplatform/v1;aiplatform\252\002\032Google.Cloud"
+          + ".AIPlatform.V1\312\002\032Google\\Cloud\\AIPlatform"
+          + "\\V1\352\002\035Google::Cloud::AIPlatform::V1b\006pro"
+          + "to3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -400,7 +401,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListModelVersionsRequest_descriptor,
             new java.lang.String[] {
-              "Name", "PageSize", "PageToken", "Filter", "ReadMask",
+              "Name", "PageSize", "PageToken", "Filter", "ReadMask", "OrderBy",
             });
     internal_static_google_cloud_aiplatform_v1_ListModelVersionsResponse_descriptor =
         getDescriptor().getMessageTypes().get(7);
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequest.java
index c5d9cc294c2d..9f5f7296c9a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+ * Request message for
+ * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.MutateDeployedIndexRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -362,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+   * Request message for
+   * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.MutateDeployedIndexRequest}
@@ -554,8 +556,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -580,8 +582,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -606,8 +608,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -631,8 +633,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -652,8 +654,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequestOrBuilder.java
index ea238d162b24..a3f6fa02a9c0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface MutateDeployedIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface MutateDeployedIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexResponse.java
index 97d8b8539cb8..0caf773583e7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MutateDeployedIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+ * Response message for
+ * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.MutateDeployedIndexResponse}
@@ -282,7 +283,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+   * Response message for
+   * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.MutateDeployedIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadata.java
index 09e3e9354d74..e529de97b38b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadata.java
@@ -3462,7 +3462,8 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -3484,7 +3485,8 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -3507,7 +3509,8 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -3526,7 +3529,8 @@ public int getContentValidationStatsCount() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -3547,7 +3551,8 @@ public int getContentValidationStatsCount() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -4025,7 +4030,8 @@ private void ensureContentValidationStatsIsMutable() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4050,7 +4056,8 @@ private void ensureContentValidationStatsIsMutable() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4072,7 +4079,8 @@ public int getContentValidationStatsCount() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4096,7 +4104,8 @@ public int getContentValidationStatsCount() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4127,7 +4136,8 @@ public Builder setContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4156,7 +4166,8 @@ public Builder setContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4186,7 +4197,8 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4217,7 +4229,8 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4245,7 +4258,8 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4274,7 +4288,8 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4304,7 +4319,8 @@ public Builder addAllContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4329,7 +4345,8 @@ public Builder clearContentValidationStats() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4354,7 +4371,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4374,7 +4392,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4398,7 +4417,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4424,7 +4444,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4447,7 +4468,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

@@ -4471,7 +4493,8 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
      * that, currently for those files that are broken or has unsupported file
      * format, we will not have the stats for those files.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadataOrBuilder.java
index 4ef6b59d5300..20db2eff96d4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NearestNeighborSearchOperationMetadataOrBuilder.java
@@ -29,7 +29,8 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -48,7 +49,8 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -65,7 +67,8 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -81,7 +84,8 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

@@ -101,7 +105,8 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
    * that, currently for those files that are broken or has unsupported file
    * format, we will not have the stats for those files.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMount.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMount.java
index 5a562ca5b8e0..fa07c44c51f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMount.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMount.java
@@ -177,8 +177,8 @@ public com.google.protobuf.ByteString getPathBytes() {
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -201,8 +201,8 @@ public java.lang.String getMountPoint() {
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -821,8 +821,8 @@ public Builder setPathBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -844,8 +844,8 @@ public java.lang.String getMountPoint() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -867,8 +867,8 @@ public com.google.protobuf.ByteString getMountPointBytes() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -889,8 +889,8 @@ public Builder setMountPoint(java.lang.String value) {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -907,8 +907,8 @@ public Builder clearMountPoint() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMountOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMountOrBuilder.java
index 0fabe88eec23..678671792dc8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMountOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/NfsMountOrBuilder.java
@@ -81,8 +81,8 @@ public interface NfsMountOrBuilder
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -94,8 +94,8 @@ public interface NfsMountOrBuilder
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJob.java
index 4366c2bdb22a..ac2857124676 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJob.java
@@ -92,12 +92,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -110,12 +112,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -131,12 +135,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -149,12 +155,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -171,12 +179,14 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -190,8 +200,8 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -208,8 +218,8 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -228,10 +238,12 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -242,10 +254,12 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -259,10 +273,12 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -273,10 +289,12 @@ com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -292,10 +310,12 @@ com.google.protobuf.Value getParameterValuesOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1371,12 +1391,14 @@ public int getParametersCount() {
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1401,12 +1423,14 @@ public java.util.Map get
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1423,12 +1447,14 @@ public java.util.Map get
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1450,12 +1476,14 @@ public com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1482,8 +1510,8 @@ public com.google.cloud.aiplatform.v1.Value getParametersOrThrow(java.lang.Strin
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -1511,8 +1539,8 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -1572,10 +1600,12 @@ public int getParameterValuesCount() {
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1598,10 +1628,12 @@ public java.util.Map getParameterVa
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1615,10 +1647,12 @@ public java.util.Map getParameterVa
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1638,10 +1672,12 @@ public com.google.protobuf.Value getParameterValuesOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2383,12 +2419,14 @@ public int getParametersCount() {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2413,12 +2451,14 @@ public java.util.Map get
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2435,12 +2475,14 @@ public java.util.Map get
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2462,12 +2504,14 @@ public com.google.cloud.aiplatform.v1.Value getParametersOrDefault(
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2497,12 +2541,14 @@ public Builder clearParameters() {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2527,12 +2573,14 @@ public Builder removeParameters(java.lang.String key) {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2556,12 +2604,14 @@ public Builder putParameters(
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2580,8 +2630,8 @@ public Builder putAllParameters(
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2608,8 +2658,8 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2636,8 +2686,8 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2663,8 +2713,8 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2686,8 +2736,8 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2746,10 +2796,12 @@ public int getParameterValuesCount() {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2772,10 +2824,12 @@ public java.util.Map getParameterVa
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2789,10 +2843,12 @@ public java.util.Map getParameterVa
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2812,10 +2868,12 @@ public com.google.protobuf.Value getParameterValuesOrDefault(
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2842,10 +2900,12 @@ public Builder clearParameterValues() {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2868,10 +2928,12 @@ public Builder removeParameterValues(java.lang.String key) {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2892,10 +2954,12 @@ public Builder putParameterValues(java.lang.String key, com.google.protobuf.Valu
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -4143,8 +4207,9 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -4167,8 +4232,9 @@ public java.lang.String getTemplateUri() {
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -4195,7 +4261,8 @@ public com.google.protobuf.ByteString getTemplateUriBytes() {
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -4213,7 +4280,8 @@ public boolean hasTemplateMetadata() {
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -4233,7 +4301,8 @@ public com.google.cloud.aiplatform.v1.PipelineTemplateMetadata getTemplateMetada
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -7630,8 +7699,9 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7653,8 +7723,9 @@ public java.lang.String getTemplateUri() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7676,8 +7747,9 @@ public com.google.protobuf.ByteString getTemplateUriBytes() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7698,8 +7770,9 @@ public Builder setTemplateUri(java.lang.String value) {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7716,8 +7789,9 @@ public Builder clearTemplateUri() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7747,7 +7821,8 @@ public Builder setTemplateUriBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7764,7 +7839,8 @@ public boolean hasTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7787,7 +7863,8 @@ public com.google.cloud.aiplatform.v1.PipelineTemplateMetadata getTemplateMetada
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7813,7 +7890,8 @@ public Builder setTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7836,7 +7914,8 @@ public Builder setTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7866,7 +7945,8 @@ public Builder mergeTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7889,7 +7969,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7907,7 +7988,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7929,7 +8011,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJobOrBuilder.java
index 57e31763e72b..ee0b99b1d673 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineJobOrBuilder.java
@@ -614,8 +614,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -627,8 +628,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -642,7 +644,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -657,7 +660,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -672,7 +676,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetail.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetail.java
index af1983a6ff1e..a8fbd1ac0b9b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetail.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetail.java
@@ -188,7 +188,8 @@ public enum State implements com.google.protobuf.ProtocolMessageEnum {
      * 
      * Specifies that the task was not triggered because the task's trigger
      * policy is not satisfied. The trigger policy is specified in the
-     * `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
+     * `condition` field of
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
      * 

      *
      * NOT_TRIGGERED = 9;
@@ -293,7 +294,8 @@ public enum State implements com.google.protobuf.ProtocolMessageEnum {
      * 
      * Specifies that the task was not triggered because the task's trigger
      * policy is not satisfied. The trigger policy is specified in the
-     * `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
+     * `condition` field of
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
      * 

      *
      * NOT_TRIGGERED = 9;
@@ -478,12 +480,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -495,12 +496,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -512,12 +512,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -673,12 +672,11 @@ public com.google.cloud.aiplatform.v1.PipelineTaskDetail.State getState() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -693,12 +691,11 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -713,12 +710,11 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1456,12 +1452,11 @@ public Builder clearState() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1475,12 +1470,11 @@ public boolean hasError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1498,12 +1492,11 @@ public com.google.rpc.Status getError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1525,12 +1518,11 @@ public Builder setError(com.google.rpc.Status value) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1549,12 +1541,11 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1577,12 +1568,11 @@ public Builder mergeError(com.google.rpc.Status value) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1602,12 +1592,11 @@ public Builder clearError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1621,12 +1610,11 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1642,12 +1630,11 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2790,8 +2777,8 @@ public long getTaskId() {
    *
    *
    * 
-   * Output only. The id of the parent task if the task is within a component scope.
-   * Empty if the task is at the root level.
+   * Output only. The id of the parent task if the task is within a component
+   * scope. Empty if the task is at the root level.
    * 

    *
    * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3208,8 +3195,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3225,8 +3212,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3243,8 +3230,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3259,8 +3246,8 @@ public int getPipelineTaskStatusCount() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3276,8 +3263,8 @@ public com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus getP
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -4367,8 +4354,8 @@ public Builder clearTaskId() {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4383,8 +4370,8 @@ public long getParentTaskId() {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4402,8 +4389,8 @@ public Builder setParentTaskId(long value) {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5824,8 +5811,8 @@ private void ensurePipelineTaskStatusIsMutable() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5844,8 +5831,8 @@ private void ensurePipelineTaskStatusIsMutable() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5863,8 +5850,8 @@ public int getPipelineTaskStatusCount() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5883,8 +5870,8 @@ public int getPipelineTaskStatusCount() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5909,8 +5896,8 @@ public Builder setPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5934,8 +5921,8 @@ public Builder setPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5960,8 +5947,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5986,8 +5973,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6010,8 +5997,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6035,8 +6022,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6060,8 +6047,8 @@ public Builder addAllPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6082,8 +6069,8 @@ public Builder clearPipelineTaskStatus() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6104,8 +6091,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6120,8 +6107,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6140,8 +6127,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6161,8 +6148,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6180,8 +6167,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6200,8 +6187,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetailOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetailOrBuilder.java
index 52ae1f46f827..67eb0d5a3994 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetailOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskDetailOrBuilder.java
@@ -40,8 +40,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. The id of the parent task if the task is within a component scope.
-   * Empty if the task is at the root level.
+   * Output only. The id of the parent task if the task is within a component
+   * scope. Empty if the task is at the root level.
    * 

    *
    * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -344,8 +344,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -358,8 +358,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -372,8 +372,8 @@ com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus getPipeline
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -385,8 +385,8 @@ com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus getPipeline
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -400,8 +400,8 @@ com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus getPipeline
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetail.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetail.java
index 1d2f6cb49a07..85e3924f6c70 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetail.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetail.java
@@ -74,7 +74,9 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * execution.
      * 

      *
      * 
@@ -88,7 +90,9 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * execution.
      * 

      *
      * 
@@ -103,10 +107,11 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -120,10 +125,11 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -138,7 +144,8 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -152,7 +159,8 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -166,7 +174,8 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -181,7 +190,8 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -197,11 +207,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -215,11 +226,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -233,11 +245,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -252,11 +265,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -328,7 +342,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * execution.
      * 

      *
      * 
@@ -353,7 +369,9 @@ public java.lang.String getMainJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * execution.
      * 

      *
      * 
@@ -381,10 +399,11 @@ public com.google.protobuf.ByteString getMainJobBytes() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -409,10 +428,11 @@ public java.lang.String getPreCachingCheckJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -440,7 +460,8 @@ public com.google.protobuf.ByteString getPreCachingCheckJobBytes() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -456,7 +477,8 @@ public com.google.protobuf.ProtocolStringList getFailedMainJobsList() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -472,7 +494,8 @@ public int getFailedMainJobsCount() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -489,7 +512,8 @@ public java.lang.String getFailedMainJobs(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
      * executions. The list includes the all attempts in chronological order.
      * 

      *
@@ -509,11 +533,12 @@ public com.google.protobuf.ByteString getFailedMainJobsBytes(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -529,11 +554,12 @@ public com.google.protobuf.ProtocolStringList getFailedPreCachingCheckJobsList()
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -549,11 +575,12 @@ public int getFailedPreCachingCheckJobsCount() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -570,11 +597,12 @@ public java.lang.String getFailedPreCachingCheckJobs(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -1053,7 +1081,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * execution.
        * 

        *
        * 
@@ -1077,7 +1107,9 @@ public java.lang.String getMainJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * execution.
        * 

        *
        * 
@@ -1101,7 +1133,9 @@ public com.google.protobuf.ByteString getMainJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * execution.
        * 

        *
        * 
@@ -1124,7 +1158,9 @@ public Builder setMainJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * execution.
        * 

        *
        * 
@@ -1143,7 +1179,9 @@ public Builder clearMainJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * execution.
        * 

        *
        * 
@@ -1169,10 +1207,11 @@ public Builder setMainJobBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1196,10 +1235,11 @@ public java.lang.String getPreCachingCheckJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1223,10 +1263,11 @@ public com.google.protobuf.ByteString getPreCachingCheckJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1249,10 +1290,11 @@ public Builder setPreCachingCheckJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1271,10 +1313,11 @@ public Builder clearPreCachingCheckJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1308,7 +1351,8 @@ private void ensureFailedMainJobsIsMutable() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1324,7 +1368,8 @@ public com.google.protobuf.ProtocolStringList getFailedMainJobsList() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1340,7 +1385,8 @@ public int getFailedMainJobsCount() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1357,7 +1403,8 @@ public java.lang.String getFailedMainJobs(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1374,7 +1421,8 @@ public com.google.protobuf.ByteString getFailedMainJobsBytes(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1398,7 +1446,8 @@ public Builder setFailedMainJobs(int index, java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1421,7 +1470,8 @@ public Builder addFailedMainJobs(java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1441,7 +1491,8 @@ public Builder addAllFailedMainJobs(java.lang.Iterable values)
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1460,7 +1511,8 @@ public Builder clearFailedMainJobs() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
        * executions. The list includes the all attempts in chronological order.
        * 

        *
@@ -1495,11 +1547,12 @@ private void ensureFailedPreCachingCheckJobsIsMutable() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1515,11 +1568,12 @@ public com.google.protobuf.ProtocolStringList getFailedPreCachingCheckJobsList()
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1535,11 +1589,12 @@ public int getFailedPreCachingCheckJobsCount() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1556,11 +1611,12 @@ public java.lang.String getFailedPreCachingCheckJobs(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1577,11 +1633,12 @@ public com.google.protobuf.ByteString getFailedPreCachingCheckJobsBytes(int inde
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1605,11 +1662,12 @@ public Builder setFailedPreCachingCheckJobs(int index, java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1632,11 +1690,12 @@ public Builder addFailedPreCachingCheckJobs(java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1656,11 +1715,12 @@ public Builder addAllFailedPreCachingCheckJobs(java.lang.Iterable
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1679,11 +1739,12 @@ public Builder clearFailedPreCachingCheckJobs() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1782,7 +1843,8 @@ public interface CustomJobDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
      * 

      *
      * 
@@ -1796,7 +1858,8 @@ public interface CustomJobDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
      * 

      *
      * 
@@ -1864,7 +1927,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
      * 

      *
      * 
@@ -1889,7 +1953,8 @@ public java.lang.String getJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
      * 

      *
      * 
@@ -2268,7 +2333,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
        * 

        *
        * 
@@ -2292,7 +2358,8 @@ public java.lang.String getJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
        * 

        *
        * 
@@ -2316,7 +2383,8 @@ public com.google.protobuf.ByteString getJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
        * 

        *
        * 
@@ -2339,7 +2407,8 @@ public Builder setJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
        * 

        *
        * 
@@ -2358,7 +2427,8 @@ public Builder clearJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1.CustomJob].
        * 

        *
        * 
@@ -2569,7 +2639,7 @@ public boolean hasContainerDetail() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
    * @return Whether the customJobDetail field is set.
    */
   @java.lang.Override
@@ -2589,7 +2659,7 @@ public boolean hasCustomJobDetail() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
    * @return The customJobDetail.
    */
   @java.lang.Override
@@ -3303,7 +3373,7 @@ public Builder clearContainerDetail() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-     *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+     *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
      * @return Whether the customJobDetail field is set.
      */
     @java.lang.Override
@@ -3323,7 +3393,7 @@ public boolean hasCustomJobDetail() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-     *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+     *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
      * @return The customJobDetail.
      */
     @java.lang.Override
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetailOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetailOrBuilder.java
index 859e227eeb32..e88466bdf692 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetailOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTaskExecutorDetailOrBuilder.java
@@ -77,7 +77,7 @@ public interface PipelineTaskExecutorDetailOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
    * @return Whether the customJobDetail field is set.
    */
   @java.lang.Deprecated
@@ -94,7 +94,7 @@ public interface PipelineTaskExecutorDetailOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1/pipeline_job.proto;l=401
    * @return The customJobDetail.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadata.java
index f841e4a80e2a..9575cf22a5c1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadata.java
@@ -22,9 +22,10 @@
  *
  *
  * 
- * Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported
- * template registry. Currently, the only supported registry is Artifact
- * Registry.
+ * Pipeline template metadata if
+ * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+ * is from supported template registry. Currently, the only supported registry
+ * is Artifact Registry.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PipelineTemplateMetadata}
@@ -76,8 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -102,8 +104,9 @@ public java.lang.String getVersion() {
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -288,9 +291,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported
-   * template registry. Currently, the only supported registry is Artifact
-   * Registry.
+   * Pipeline template metadata if
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry. Currently, the only supported registry
+   * is Artifact Registry.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PipelineTemplateMetadata}
@@ -463,8 +467,9 @@ public Builder mergeFrom(
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -488,8 +493,9 @@ public java.lang.String getVersion() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -513,8 +519,9 @@ public com.google.protobuf.ByteString getVersionBytes() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -537,8 +544,9 @@ public Builder setVersion(java.lang.String value) {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -557,8 +565,9 @@ public Builder clearVersion() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadataOrBuilder.java
index 494cb168df4e..d4a548882113 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineTemplateMetadataOrBuilder.java
@@ -28,8 +28,9 @@ public interface PipelineTemplateMetadataOrBuilder
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -43,8 +44,9 @@ public interface PipelineTemplateMetadataOrBuilder
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java
index eb520a649e15..886684b66ff9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+ * Request message for
+ * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PredictRequest}
@@ -245,7 +246,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -263,7 +265,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -281,7 +284,8 @@ public com.google.protobuf.Value getParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -481,7 +485,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+   * Request message for
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PredictRequest}
@@ -1386,7 +1391,8 @@ public java.util.List getInstancesBuilderList
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1403,7 +1409,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1424,7 +1431,8 @@ public com.google.protobuf.Value getParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1449,7 +1457,8 @@ public Builder setParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1471,7 +1480,8 @@ public Builder setParameters(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1498,7 +1508,8 @@ public Builder mergeParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1521,7 +1532,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1538,7 +1550,8 @@ public com.google.protobuf.Value.Builder getParametersBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1557,7 +1570,8 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java
index f0eae5851aaa..60805f3cfc04 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java
@@ -157,7 +157,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -172,7 +173,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

@@ -187,7 +189,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java
index 0069b410b25c..5dd22502b122 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+ * Response message for
+ * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PredictResponse}
@@ -215,8 +216,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -241,8 +242,8 @@ public java.lang.String getModel() {
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -270,8 +271,8 @@ public com.google.protobuf.ByteString getModelBytes() {
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -294,8 +295,8 @@ public java.lang.String getModelVersionId() {
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -321,8 +322,9 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+   * deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -345,8 +347,9 @@ public java.lang.String getModelDisplayName() {
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+   * deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -567,7 +570,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+   * Response message for
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PredictResponse}
@@ -1359,8 +1363,8 @@ public Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1384,8 +1388,8 @@ public java.lang.String getModel() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1409,8 +1413,8 @@ public com.google.protobuf.ByteString getModelBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1433,8 +1437,8 @@ public Builder setModel(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1453,8 +1457,8 @@ public Builder clearModel() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1480,8 +1484,8 @@ public Builder setModelBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1503,8 +1507,8 @@ public java.lang.String getModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1526,8 +1530,8 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1548,8 +1552,8 @@ public Builder setModelVersionId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1566,8 +1570,8 @@ public Builder clearModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1591,8 +1595,9 @@ public Builder setModelVersionIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+     * deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1614,8 +1619,9 @@ public java.lang.String getModelDisplayName() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+     * deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1637,8 +1643,9 @@ public com.google.protobuf.ByteString getModelDisplayNameBytes() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+     * deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1659,8 +1666,9 @@ public Builder setModelDisplayName(java.lang.String value) {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+     * deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1677,8 +1685,9 @@ public Builder clearModelDisplayName() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+     * deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java
index 023745e6eb7f..ed44e81091ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java
@@ -123,8 +123,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -138,8 +138,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -154,8 +154,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -167,8 +167,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -181,8 +181,9 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+   * deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -194,8 +195,9 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+   * deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java
index f3f127228701..719d89058d03 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java
@@ -23,8 +23,9 @@
  *
  * 
  * Contains the schemata used in Model's predictions and explanations via
- * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
- * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+ * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
+ * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
+ * and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PredictSchemata}
@@ -77,9 +78,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -109,9 +112,11 @@ public java.lang.String getInstanceSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -144,9 +149,11 @@ public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -177,9 +184,11 @@ public java.lang.String getParametersSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -213,9 +222,12 @@ public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -245,9 +257,12 @@ public java.lang.String getPredictionSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -456,8 +471,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    * 
    * Contains the schemata used in Model's predictions and explanations via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
-   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
+   * [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
+   * and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PredictSchemata}
@@ -654,9 +670,11 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -685,9 +703,11 @@ public java.lang.String getInstanceSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -716,9 +736,11 @@ public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -746,9 +768,11 @@ public Builder setInstanceSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -772,9 +796,11 @@ public Builder clearInstanceSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -805,9 +831,11 @@ public Builder setInstanceSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -837,9 +865,11 @@ public java.lang.String getParametersSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -869,9 +899,11 @@ public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -900,9 +932,11 @@ public Builder setParametersSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -927,9 +961,11 @@ public Builder clearParametersSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -961,9 +997,12 @@ public Builder setParametersSchemaUriBytes(com.google.protobuf.ByteString value)
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -992,9 +1031,12 @@ public java.lang.String getPredictionSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1023,9 +1065,12 @@ public com.google.protobuf.ByteString getPredictionSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1053,9 +1098,12 @@ public Builder setPredictionSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1079,9 +1127,12 @@ public Builder clearPredictionSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java
index 4b114542ec12..8bf8fffb7522 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java
@@ -27,9 +27,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -48,9 +50,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -70,9 +74,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -92,9 +98,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -115,9 +123,12 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -136,9 +147,12 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpoints.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpoints.java
index 1921f3bc2e5b..32035eb6335d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpoints.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpoints.java
@@ -227,8 +227,8 @@ public com.google.protobuf.ByteString getHealthHttpUriBytes() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -251,8 +251,8 @@ public java.lang.String getServiceAttachment() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -995,8 +995,8 @@ public Builder setHealthHttpUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1018,8 +1018,8 @@ public java.lang.String getServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1041,8 +1041,8 @@ public com.google.protobuf.ByteString getServiceAttachmentBytes() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1063,8 +1063,8 @@ public Builder setServiceAttachment(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1081,8 +1081,8 @@ public Builder clearServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpointsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpointsOrBuilder.java
index 0d52f7ae87f5..c16191a6be50 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpointsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PrivateEndpointsOrBuilder.java
@@ -102,8 +102,8 @@ public interface PrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -115,8 +115,8 @@ public interface PrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsMetadata.java
index 099d175ee20e..de5cccc8c5c8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+ * Details of operations that perform
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+   * Details of operations that perform
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsRequest.java
index c5befd3d2f62..f1d7319caa64 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+ * Request message for
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsRequest}
@@ -377,7 +378,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+   * Request message for
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsResponse.java
index 5e1d1aa3fcaf..ce497d99d3ab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeArtifactsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+ * Response message for
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsResponse}
@@ -335,7 +336,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+   * Response message for
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeArtifactsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsMetadata.java
index b863297f9eb2..c84521628b8a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+ * Details of operations that perform
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsMetadata}
@@ -282,7 +283,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+   * Details of operations that perform
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsRequest.java
index a6f1a83a5e53..1e8ad5b29311 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+ * Request message for
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsRequest}
@@ -377,7 +378,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+   * Request message for
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsResponse.java
index 71d31e01a00b..8f62a2e78ea3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeContextsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+ * Response message for
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsResponse}
@@ -334,7 +335,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+   * Response message for
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeContextsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsMetadata.java
index db507d2f3a45..61ea808a32b5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+ * Details of operations that perform
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+   * Details of operations that perform
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsRequest.java
index 0a83e4e3197a..b7d6444da37b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+ * Request message for
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+   * Request message for
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsResponse.java
index 5e463a8d8136..b500020d0622 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PurgeExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+ * Response message for
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsResponse}
@@ -336,7 +337,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+   * Response message for
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.PurgeExecutionsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java
index 77abe59fe0d1..a9cbe6e8629a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java
@@ -77,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -105,8 +105,8 @@ public java.lang.String getExecutorImageUri() {
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -136,9 +136,9 @@ public com.google.protobuf.ByteString getExecutorImageUriBytes() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -152,9 +152,9 @@ public com.google.protobuf.ProtocolStringList getPackageUrisList() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -168,9 +168,9 @@ public int getPackageUrisCount() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -185,9 +185,9 @@ public java.lang.String getPackageUris(int index) {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -890,8 +890,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -917,8 +917,8 @@ public java.lang.String getExecutorImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -944,8 +944,8 @@ public com.google.protobuf.ByteString getExecutorImageUriBytes() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -970,8 +970,8 @@ public Builder setExecutorImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -992,8 +992,8 @@ public Builder clearExecutorImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -1029,9 +1029,9 @@ private void ensurePackageUrisIsMutable() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1045,9 +1045,9 @@ public com.google.protobuf.ProtocolStringList getPackageUrisList() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1061,9 +1061,9 @@ public int getPackageUrisCount() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1078,9 +1078,9 @@ public java.lang.String getPackageUris(int index) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1095,9 +1095,9 @@ public com.google.protobuf.ByteString getPackageUrisBytes(int index) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1119,9 +1119,9 @@ public Builder setPackageUris(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1142,9 +1142,9 @@ public Builder addPackageUris(java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1162,9 +1162,9 @@ public Builder addAllPackageUris(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1181,9 +1181,9 @@ public Builder clearPackageUris() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java
index bdf1c722c5f0..fe400bd1cc3f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -44,8 +44,8 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -62,9 +62,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -76,9 +76,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -90,9 +90,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -105,9 +105,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequest.java
index 242acb0119be..27473664ca1e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
+ * Request message for
+ * [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.QueryArtifactLineageSubgraphRequest}
@@ -76,9 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -107,9 +107,8 @@ public java.lang.String getArtifact() {
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -425,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
+   * Request message for
+   * [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.QueryArtifactLineageSubgraphRequest}
@@ -628,9 +628,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -658,9 +657,8 @@ public java.lang.String getArtifact() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -688,9 +686,8 @@ public com.google.protobuf.ByteString getArtifactBytes() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -717,9 +714,8 @@ public Builder setArtifact(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -742,9 +738,8 @@ public Builder clearArtifact() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequestOrBuilder.java
index 039767465c28..3f72fc79aae5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryArtifactLineageSubgraphRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface QueryArtifactLineageSubgraphRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -47,9 +46,8 @@ public interface QueryArtifactLineageSubgraphRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryContextLineageSubgraphRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryContextLineageSubgraphRequest.java
index 4a9882593037..0ae28edf7011 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryContextLineageSubgraphRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryContextLineageSubgraphRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
+ * Request message for
+ * [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.QueryContextLineageSubgraphRequest}
@@ -298,7 +299,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
+   * Request message for
+   * [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.QueryContextLineageSubgraphRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequest.java
index bf7a813eb066..7f26b3538295 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
+ * Request message for
+ * [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.QueryExecutionInputsAndOutputsRequest}
@@ -75,9 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -103,9 +103,8 @@ public java.lang.String getExecution() {
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -293,7 +292,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
+   * Request message for
+   * [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.QueryExecutionInputsAndOutputsRequest}
@@ -471,9 +471,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -498,9 +497,8 @@ public java.lang.String getExecution() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -525,9 +523,8 @@ public com.google.protobuf.ByteString getExecutionBytes() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -551,9 +548,8 @@ public Builder setExecution(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -573,9 +569,8 @@ public Builder clearExecution() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
index f9c4a77559cc..79f74d2137c5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface QueryExecutionInputsAndOutputsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -44,9 +43,8 @@ public interface QueryExecutionInputsAndOutputsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequest.java
index 310fa0bba89a..7d117b08dd25 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
+ * Request message for
+ * [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.RawPredictRequest}
@@ -131,15 +132,17 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
@@ -156,15 +159,17 @@ public boolean hasHttpBody() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
@@ -181,15 +186,17 @@ public com.google.api.HttpBody getHttpBody() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
@@ -377,7 +384,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
+   * Request message for
+   * [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.RawPredictRequest}
@@ -701,15 +709,17 @@ public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -725,15 +735,17 @@ public boolean hasHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -753,15 +765,17 @@ public com.google.api.HttpBody getHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -785,15 +799,17 @@ public Builder setHttpBody(com.google.api.HttpBody value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -814,15 +830,17 @@ public Builder setHttpBody(com.google.api.HttpBody.Builder builderForValue) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -847,15 +865,17 @@ public Builder mergeHttpBody(com.google.api.HttpBody value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -877,15 +897,17 @@ public Builder clearHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -901,15 +923,17 @@ public com.google.api.HttpBody.Builder getHttpBodyBuilder() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
@@ -927,15 +951,17 @@ public com.google.api.HttpBodyOrBuilder getHttpBodyOrBuilder() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+     * upper limit on the number of instances it supports per request. When this
+     * limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+     * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+     * schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
      * method.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequestOrBuilder.java
index 3fac83a32bf1..14f26785a408 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RawPredictRequestOrBuilder.java
@@ -61,15 +61,17 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
@@ -83,15 +85,17 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
@@ -105,15 +109,17 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+   * upper limit on the number of instances it supports per request. When this
+   * limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+   * field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+   * schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
    * method.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesRequest.java
index 04a201df47ed..9aef84bca773 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+ * Request message for
+ * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesRequest}
@@ -423,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+   * Request message for
+   * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesResponse.java
index 44337e094c90..68b0d8e0cb60 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+ * Response message for
+ * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesResponse}
@@ -730,7 +731,8 @@ public interface HeaderOrBuilder
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -744,7 +746,8 @@ public interface HeaderOrBuilder
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -831,7 +834,8 @@ public interface HeaderOrBuilder
    *
    * 
    * Response header with metadata for the requested
-   * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.
+   * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
+   * and Features.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header}
@@ -884,7 +888,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -909,7 +914,8 @@ public java.lang.String getEntityType() {
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -1201,7 +1207,8 @@ protected Builder newBuilderForType(
      *
      * 
      * Response header with metadata for the requested
-     * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.
+     * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
+     * and Features.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header}
@@ -1442,7 +1449,8 @@ public Builder mergeFrom(
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1466,7 +1474,8 @@ public java.lang.String getEntityType() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1490,7 +1499,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1513,7 +1523,8 @@ public Builder setEntityType(java.lang.String value) {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1532,7 +1543,8 @@ public Builder clearEntityType() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -2099,7 +2111,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2116,7 +2129,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2132,7 +2146,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2148,7 +2163,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2167,7 +2183,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3533,7 +3550,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3553,7 +3571,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3575,7 +3594,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3594,7 +3614,8 @@ public int getDataCount() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3614,7 +3635,8 @@ public com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -4174,7 +4196,8 @@ private void ensureDataIsMutable() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4198,7 +4221,8 @@ private void ensureDataIsMutable() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4220,7 +4244,8 @@ public int getDataCount() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4243,7 +4268,8 @@ public com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4273,7 +4299,8 @@ public Builder setData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4301,7 +4328,8 @@ public Builder setData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4330,7 +4358,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4360,7 +4389,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4387,7 +4417,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4415,7 +4446,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4444,7 +4476,8 @@ public Builder addAllData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4469,7 +4502,8 @@ public Builder clearData() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4494,7 +4528,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4513,7 +4548,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4536,7 +4572,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4561,7 +4598,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4583,7 +4621,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4606,7 +4645,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4994,7 +5034,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+   * Response message for
+   * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataRequest.java
index 25eea54921ea..2db868defea6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+ * Request message for
+ * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardBlobDataRequest}
@@ -367,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+   * Request message for
+   * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardBlobDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataResponse.java
index 580b0adef6b0..2efae50306b3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardBlobDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+ * Response message for
+ * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse}
@@ -303,7 +304,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+   * Response message for
+   * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataRequest.java
index 515fdc0dcad3..b4fee6d2018c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+ * Request message for
+ * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest}
@@ -379,7 +380,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+   * Request message for
+   * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataResponse.java
index 28a42ab20577..90c45c69efd1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardTimeSeriesDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+ * Response message for
+ * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+   * Response message for
+   * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequest.java
new file mode 100644
index 000000000000..aa0fd121f893
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequest.java
@@ -0,0 +1,644 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [TensorboardService.GetTensorboardUsage][].
+ * 

+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageRequest}
+ */
+public final class ReadTensorboardUsageRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)
+    ReadTensorboardUsageRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ReadTensorboardUsageRequest.newBuilder() to construct.
+  private ReadTensorboardUsageRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ReadTensorboardUsageRequest() {
+    tensorboard_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ReadTensorboardUsageRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.class,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.Builder.class);
+  }
+
+  public static final int TENSORBOARD_FIELD_NUMBER = 1;
+  private volatile java.lang.Object tensorboard_;
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The tensorboard.
+   */
+  @java.lang.Override
+  public java.lang.String getTensorboard() {
+    java.lang.Object ref = tensorboard_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      tensorboard_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The bytes for tensorboard.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTensorboardBytes() {
+    java.lang.Object ref = tensorboard_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      tensorboard_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(tensorboard_)) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, tensorboard_);
+    }
+    getUnknownFields().writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(tensorboard_)) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, tensorboard_);
+    }
+    size += getUnknownFields().getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest other =
+        (com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest) obj;
+
+    if (!getTensorboard().equals(other.getTensorboard())) return false;
+    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TENSORBOARD_FIELD_NUMBER;
+    hash = (53 * hash) + getTensorboard().hashCode();
+    hash = (29 * hash) + getUnknownFields().hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [TensorboardService.GetTensorboardUsage][].
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.class,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.newBuilder()
+    private Builder() {}
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      tensorboard_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest build() {
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest result =
+          new com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest(this);
+      result.tensorboard_ = tensorboard_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.getDefaultInstance())
+        return this;
+      if (!other.getTensorboard().isEmpty()) {
+        tensorboard_ = other.tensorboard_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.getUnknownFields());
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                tensorboard_ = input.readStringRequireUtf8();
+
+                break;
+              } // case 10
+            default:
+              {
+                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                  done = true; // was an endgroup tag
+                }
+                break;
+              } // default:
+          } // switch (tag)
+        } // while (!done)
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.unwrapIOException();
+      } finally {
+        onChanged();
+      } // finally
+      return this;
+    }
+
+    private java.lang.Object tensorboard_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return The tensorboard.
+     */
+    public java.lang.String getTensorboard() {
+      java.lang.Object ref = tensorboard_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        tensorboard_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return The bytes for tensorboard.
+     */
+    public com.google.protobuf.ByteString getTensorboardBytes() {
+      java.lang.Object ref = tensorboard_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        tensorboard_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @param value The tensorboard to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTensorboard(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      tensorboard_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTensorboard() {
+
+      tensorboard_ = getDefaultInstance().getTensorboard();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @param value The bytes for tensorboard to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTensorboardBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      tensorboard_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)
+  private static final com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ReadTensorboardUsageRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          Builder builder = newBuilder();
+          try {
+            builder.mergeFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(builder.buildPartial());
+          } catch (com.google.protobuf.UninitializedMessageException e) {
+            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(builder.buildPartial());
+          }
+          return builder.buildPartial();
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequestOrBuilder.java
new file mode 100644
index 000000000000..5284b0dad668
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ReadTensorboardUsageRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ReadTensorboardUsageRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The tensorboard.
+   */
+  java.lang.String getTensorboard();
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The bytes for tensorboard.
+   */
+  com.google.protobuf.ByteString getTensorboardBytes();
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponse.java
new file mode 100644
index 000000000000..7863644ff218
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponse.java
@@ -0,0 +1,2730 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * 
+ * Response message for [TensorboardService.GetTensorboardUsage][].
+ * 

+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageResponse}
+ */
+public final class ReadTensorboardUsageResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)
+    ReadTensorboardUsageResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ReadTensorboardUsageResponse.newBuilder() to construct.
+  private ReadTensorboardUsageResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ReadTensorboardUsageResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ReadTensorboardUsageResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 1:
+        return internalGetMonthlyUsageData();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.class,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.Builder.class);
+  }
+
+  public interface PerUserUsageDataOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The username.
+     */
+    java.lang.String getUsername();
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The bytes for username.
+     */
+    com.google.protobuf.ByteString getUsernameBytes();
+
+    /**
+     *
+     *
+     * 
+     * Number of times the user has read data within the Tensorboard.
+     * 

+     *
+     * int64 view_count = 2;
+     *
+     * @return The viewCount.
+     */
+    long getViewCount();
+  }
+  /**
+   *
+   *
+   * 
+   * Per user usage data.
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData}
+   */
+  public static final class PerUserUsageData extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)
+      PerUserUsageDataOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PerUserUsageData.newBuilder() to construct.
+    private PerUserUsageData(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private PerUserUsageData() {
+      username_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PerUserUsageData();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.class,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+                  .class);
+    }
+
+    public static final int USERNAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object username_;
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The username.
+     */
+    @java.lang.Override
+    public java.lang.String getUsername() {
+      java.lang.Object ref = username_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        username_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The bytes for username.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getUsernameBytes() {
+      java.lang.Object ref = username_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        username_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int VIEW_COUNT_FIELD_NUMBER = 2;
+    private long viewCount_;
+    /**
+     *
+     *
+     * 
+     * Number of times the user has read data within the Tensorboard.
+     * 

+     *
+     * int64 view_count = 2;
+     *
+     * @return The viewCount.
+     */
+    @java.lang.Override
+    public long getViewCount() {
+      return viewCount_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(username_)) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, username_);
+      }
+      if (viewCount_ != 0L) {
+        output.writeInt64(2, viewCount_);
+      }
+      getUnknownFields().writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(username_)) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, username_);
+      }
+      if (viewCount_ != 0L) {
+        size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, viewCount_);
+      }
+      size += getUnknownFields().getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData other =
+          (com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData) obj;
+
+      if (!getUsername().equals(other.getUsername())) return false;
+      if (getViewCount() != other.getViewCount()) return false;
+      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + USERNAME_FIELD_NUMBER;
+      hash = (53 * hash) + getUsername().hashCode();
+      hash = (37 * hash) + VIEW_COUNT_FIELD_NUMBER;
+      hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getViewCount());
+      hash = (29 * hash) + getUnknownFields().hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Per user usage data.
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.class,
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+                    .class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.newBuilder()
+      private Builder() {}
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        username_ = "";
+
+        viewCount_ = 0L;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData build() {
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData result =
+            new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData(this);
+        result.username_ = username_;
+        result.viewCount_ = viewCount_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+                .getDefaultInstance()) return this;
+        if (!other.getUsername().isEmpty()) {
+          username_ = other.username_;
+          onChanged();
+        }
+        if (other.getViewCount() != 0L) {
+          setViewCount(other.getViewCount());
+        }
+        this.mergeUnknownFields(other.getUnknownFields());
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  username_ = input.readStringRequireUtf8();
+
+                  break;
+                } // case 10
+              case 16:
+                {
+                  viewCount_ = input.readInt64();
+
+                  break;
+                } // case 16
+              default:
+                {
+                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                    done = true; // was an endgroup tag
+                  }
+                  break;
+                } // default:
+            } // switch (tag)
+          } // while (!done)
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.unwrapIOException();
+        } finally {
+          onChanged();
+        } // finally
+        return this;
+      }
+
+      private java.lang.Object username_ = "";
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return The username.
+       */
+      public java.lang.String getUsername() {
+        java.lang.Object ref = username_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          username_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return The bytes for username.
+       */
+      public com.google.protobuf.ByteString getUsernameBytes() {
+        java.lang.Object ref = username_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          username_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @param value The username to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUsername(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        username_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearUsername() {
+
+        username_ = getDefaultInstance().getUsername();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @param value The bytes for username to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUsernameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        username_ = value;
+        onChanged();
+        return this;
+      }
+
+      private long viewCount_;
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @return The viewCount.
+       */
+      @java.lang.Override
+      public long getViewCount() {
+        return viewCount_;
+      }
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @param value The viewCount to set.
+       * @return This builder for chaining.
+       */
+      public Builder setViewCount(long value) {
+
+        viewCount_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearViewCount() {
+
+        viewCount_ = 0L;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData)
+    private static final com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+            .PerUserUsageData
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData();
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public PerUserUsageData parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            Builder builder = newBuilder();
+            try {
+              builder.mergeFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              throw e.setUnfinishedMessage(builder.buildPartial());
+            } catch (com.google.protobuf.UninitializedMessageException e) {
+              throw e.asInvalidProtocolBufferException()
+                  .setUnfinishedMessage(builder.buildPartial());
+            } catch (java.io.IOException e) {
+              throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                  .setUnfinishedMessage(builder.buildPartial());
+            }
+            return builder.buildPartial();
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface PerMonthUsageDataOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    java.util.List
+        getUserUsageDataList();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData getUserUsageData(
+        int index);
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    int getUserUsageDataCount();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                    .PerUserUsageDataOrBuilder>
+        getUserUsageDataOrBuilderList();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder
+        getUserUsageDataOrBuilder(int index);
+  }
+  /**
+   *
+   *
+   * 
+   * Per month usage data
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData}
+   */
+  public static final class PerMonthUsageData extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+      PerMonthUsageDataOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PerMonthUsageData.newBuilder() to construct.
+    private PerMonthUsageData(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private PerMonthUsageData() {
+      userUsageData_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PerMonthUsageData();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData.class,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData.Builder
+                  .class);
+    }
+
+    public static final int USER_USAGE_DATA_FIELD_NUMBER = 1;
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>
+        userUsageData_;
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>
+        getUserUsageDataList() {
+      return userUsageData_;
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                    .PerUserUsageDataOrBuilder>
+        getUserUsageDataOrBuilderList() {
+      return userUsageData_;
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public int getUserUsageDataCount() {
+      return userUsageData_.size();
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+        getUserUsageData(int index) {
+      return userUsageData_.get(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder
+        getUserUsageDataOrBuilder(int index) {
+      return userUsageData_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      for (int i = 0; i < userUsageData_.size(); i++) {
+        output.writeMessage(1, userUsageData_.get(i));
+      }
+      getUnknownFields().writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      for (int i = 0; i < userUsageData_.size(); i++) {
+        size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, userUsageData_.get(i));
+      }
+      size += getUnknownFields().getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData other =
+          (com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData) obj;
+
+      if (!getUserUsageDataList().equals(other.getUserUsageDataList())) return false;
+      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getUserUsageDataCount() > 0) {
+        hash = (37 * hash) + USER_USAGE_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getUserUsageDataList().hashCode();
+      }
+      hash = (29 * hash) + getUnknownFields().hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Per month usage data
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageDataOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData.class,
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData.newBuilder()
+      private Builder() {}
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (userUsageDataBuilder_ == null) {
+          userUsageData_ = java.util.Collections.emptyList();
+        } else {
+          userUsageData_ = null;
+          userUsageDataBuilder_.clear();
+        }
+        bitField0_ = (bitField0_ & ~0x00000001);
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData build() {
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData result =
+            new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData(this);
+        int from_bitField0_ = bitField0_;
+        if (userUsageDataBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            userUsageData_ = java.util.Collections.unmodifiableList(userUsageData_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.userUsageData_ = userUsageData_;
+        } else {
+          result.userUsageData_ = userUsageDataBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+                .getDefaultInstance()) return this;
+        if (userUsageDataBuilder_ == null) {
+          if (!other.userUsageData_.isEmpty()) {
+            if (userUsageData_.isEmpty()) {
+              userUsageData_ = other.userUsageData_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureUserUsageDataIsMutable();
+              userUsageData_.addAll(other.userUsageData_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.userUsageData_.isEmpty()) {
+            if (userUsageDataBuilder_.isEmpty()) {
+              userUsageDataBuilder_.dispose();
+              userUsageDataBuilder_ = null;
+              userUsageData_ = other.userUsageData_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              userUsageDataBuilder_ =
+                  com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                      ? getUserUsageDataFieldBuilder()
+                      : null;
+            } else {
+              userUsageDataBuilder_.addAllMessages(other.userUsageData_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.getUnknownFields());
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData m =
+                      input.readMessage(
+                          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                              .PerUserUsageData.parser(),
+                          extensionRegistry);
+                  if (userUsageDataBuilder_ == null) {
+                    ensureUserUsageDataIsMutable();
+                    userUsageData_.add(m);
+                  } else {
+                    userUsageDataBuilder_.addMessage(m);
+                  }
+                  break;
+                } // case 10
+              default:
+                {
+                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                    done = true; // was an endgroup tag
+                  }
+                  break;
+                } // default:
+            } // switch (tag)
+          } // while (!done)
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.unwrapIOException();
+        } finally {
+          onChanged();
+        } // finally
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.util.List<
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>
+          userUsageData_ = java.util.Collections.emptyList();
+
+      private void ensureUserUsageDataIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          userUsageData_ =
+              new java.util.ArrayList<
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>(
+                  userUsageData_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder>
+          userUsageDataBuilder_;
+
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>
+          getUserUsageDataList() {
+        if (userUsageDataBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(userUsageData_);
+        } else {
+          return userUsageDataBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public int getUserUsageDataCount() {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.size();
+        } else {
+          return userUsageDataBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+          getUserUsageData(int index) {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.get(index);
+        } else {
+          return userUsageDataBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder setUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.set(index, value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder setUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(index, value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addAllUserUsageData(
+          java.lang.Iterable<
+                  ? extends
+                      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData>
+              values) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, userUsageData_);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder clearUserUsageData() {
+        if (userUsageDataBuilder_ == null) {
+          userUsageData_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder removeUserUsageData(int index) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.remove(index);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+          getUserUsageDataBuilder(int index) {
+        return getUserUsageDataFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder
+          getUserUsageDataOrBuilder(int index) {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.get(index);
+        } else {
+          return userUsageDataBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              ? extends
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                      .PerUserUsageDataOrBuilder>
+          getUserUsageDataOrBuilderList() {
+        if (userUsageDataBuilder_ != null) {
+          return userUsageDataBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(userUsageData_);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+          addUserUsageDataBuilder() {
+        return getUserUsageDataFieldBuilder()
+            .addBuilder(
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+          addUserUsageDataBuilder(int index) {
+        return getUserUsageDataFieldBuilder()
+            .addBuilder(
+                index,
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder>
+          getUserUsageDataBuilderList() {
+        return getUserUsageDataFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder>
+          getUserUsageDataFieldBuilder() {
+        if (userUsageDataBuilder_ == null) {
+          userUsageDataBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData,
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData
+                      .Builder,
+                  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                      .PerUserUsageDataOrBuilder>(
+                  userUsageData_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          userUsageData_ = null;
+        }
+        return userUsageDataBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData)
+    private static final com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+            .PerMonthUsageData
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData();
+    }
+
+    public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public PerMonthUsageData parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            Builder builder = newBuilder();
+            try {
+              builder.mergeFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              throw e.setUnfinishedMessage(builder.buildPartial());
+            } catch (com.google.protobuf.UninitializedMessageException e) {
+              throw e.asInvalidProtocolBufferException()
+                  .setUnfinishedMessage(builder.buildPartial());
+            } catch (java.io.IOException e) {
+              throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                  .setUnfinishedMessage(builder.buildPartial());
+            }
+            return builder.buildPartial();
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int MONTHLY_USAGE_DATA_FIELD_NUMBER = 1;
+
+  private static final class MonthlyUsageDataDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        defaultEntry =
+            com.google.protobuf.MapEntry
+                .
+                    newDefaultInstance(
+                        com.google.cloud.aiplatform.v1.TensorboardServiceProto
+                            .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor,
+                        com.google.protobuf.WireFormat.FieldType.STRING,
+                        "",
+                        com.google.protobuf.WireFormat.FieldType.MESSAGE,
+                        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                            .PerMonthUsageData.getDefaultInstance());
+  }
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      monthlyUsageData_;
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      internalGetMonthlyUsageData() {
+    if (monthlyUsageData_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+    }
+    return monthlyUsageData_;
+  }
+
+  public int getMonthlyUsageDataCount() {
+    return internalGetMonthlyUsageData().getMap().size();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public boolean containsMonthlyUsageData(java.lang.String key) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    return internalGetMonthlyUsageData().getMap().containsKey(key);
+  }
+  /** Use {@link #getMonthlyUsageDataMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageData() {
+    return getMonthlyUsageDataMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageDataMap() {
+    return internalGetMonthlyUsageData().getMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+              defaultValue) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        map = internalGetMonthlyUsageData().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        map = internalGetMonthlyUsageData().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetMonthlyUsageData(), MonthlyUsageDataDefaultEntryHolder.defaultEntry, 1);
+    getUnknownFields().writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (java.util.Map.Entry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        entry : internalGetMonthlyUsageData().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          monthlyUsageData__ =
+              MonthlyUsageDataDefaultEntryHolder.defaultEntry
+                  .newBuilderForType()
+                  .setKey(entry.getKey())
+                  .setValue(entry.getValue())
+                  .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, monthlyUsageData__);
+    }
+    size += getUnknownFields().getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse other =
+        (com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse) obj;
+
+    if (!internalGetMonthlyUsageData().equals(other.internalGetMonthlyUsageData())) return false;
+    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetMonthlyUsageData().getMap().isEmpty()) {
+      hash = (37 * hash) + MONTHLY_USAGE_DATA_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetMonthlyUsageData().hashCode();
+    }
+    hash = (29 * hash) + getUnknownFields().hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Response message for [TensorboardService.GetTensorboardUsage][].
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ReadTensorboardUsageResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMonthlyUsageData();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMutableMonthlyUsageData();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.class,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.newBuilder()
+    private Builder() {}
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      internalGetMutableMonthlyUsageData().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse build() {
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse result =
+          new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse(this);
+      int from_bitField0_ = bitField0_;
+      result.monthlyUsageData_ = internalGetMonthlyUsageData();
+      result.monthlyUsageData_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.getDefaultInstance())
+        return this;
+      internalGetMutableMonthlyUsageData().mergeFrom(other.internalGetMonthlyUsageData());
+      this.mergeUnknownFields(other.getUnknownFields());
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                com.google.protobuf.MapEntry<
+                        java.lang.String,
+                        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse
+                            .PerMonthUsageData>
+                    monthlyUsageData__ =
+                        input.readMessage(
+                            MonthlyUsageDataDefaultEntryHolder.defaultEntry.getParserForType(),
+                            extensionRegistry);
+                internalGetMutableMonthlyUsageData()
+                    .getMutableMap()
+                    .put(monthlyUsageData__.getKey(), monthlyUsageData__.getValue());
+                break;
+              } // case 10
+            default:
+              {
+                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                  done = true; // was an endgroup tag
+                }
+                break;
+              } // default:
+          } // switch (tag)
+        } // while (!done)
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.unwrapIOException();
+      } finally {
+        onChanged();
+      } // finally
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        monthlyUsageData_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        internalGetMonthlyUsageData() {
+      if (monthlyUsageData_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+      }
+      return monthlyUsageData_;
+    }
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        internalGetMutableMonthlyUsageData() {
+      onChanged();
+      ;
+      if (monthlyUsageData_ == null) {
+        monthlyUsageData_ =
+            com.google.protobuf.MapField.newMapField(
+                MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+      }
+      if (!monthlyUsageData_.isMutable()) {
+        monthlyUsageData_ = monthlyUsageData_.copy();
+      }
+      return monthlyUsageData_;
+    }
+
+    public int getMonthlyUsageDataCount() {
+      return internalGetMonthlyUsageData().getMap().size();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public boolean containsMonthlyUsageData(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      return internalGetMonthlyUsageData().getMap().containsKey(key);
+    }
+    /** Use {@link #getMonthlyUsageDataMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMonthlyUsageData() {
+      return getMonthlyUsageDataMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMonthlyUsageDataMap() {
+      return internalGetMonthlyUsageData().getMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getMonthlyUsageDataOrDefault(
+            java.lang.String key,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+                defaultValue) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          map = internalGetMonthlyUsageData().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getMonthlyUsageDataOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          map = internalGetMonthlyUsageData().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearMonthlyUsageData() {
+      internalGetMutableMonthlyUsageData().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder removeMonthlyUsageData(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      internalGetMutableMonthlyUsageData().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMutableMonthlyUsageData() {
+      return internalGetMutableMonthlyUsageData().getMutableMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder putMonthlyUsageData(
+        java.lang.String key,
+        com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData value) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      if (value == null) {
+        throw new NullPointerException("map value");
+      }
+
+      internalGetMutableMonthlyUsageData().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder putAllMonthlyUsageData(
+        java.util.Map<
+                java.lang.String,
+                com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+            values) {
+      internalGetMutableMonthlyUsageData().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)
+  private static final com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ReadTensorboardUsageResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          Builder builder = newBuilder();
+          try {
+            builder.mergeFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(builder.buildPartial());
+          } catch (com.google.protobuf.UninitializedMessageException e) {
+            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(builder.buildPartial());
+          }
+          return builder.buildPartial();
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponseOrBuilder.java
new file mode 100644
index 000000000000..d950ca21a4bf
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ReadTensorboardUsageResponseOrBuilder.java
@@ -0,0 +1,103 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ReadTensorboardUsageResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ReadTensorboardUsageResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  int getMonthlyUsageDataCount();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  boolean containsMonthlyUsageData(java.lang.String key);
+  /** Use {@link #getMonthlyUsageDataMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageData();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageDataMap();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+
+  /* nullable */
+  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrDefault(
+          java.lang.String key,
+          /* nullable */
+          com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+              defaultValue);
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrThrow(java.lang.String key);
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveContextChildrenResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveContextChildrenResponse.java
index 6861e8c27b12..24cc8a42eca8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveContextChildrenResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveContextChildrenResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
+ * Response message for
+ * [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.RemoveContextChildrenResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
+   * Response message for
+   * [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.RemoveContextChildrenResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsRequest.java
index 8c7122451771..ec50dea7bf90 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+ * Request message for
+ * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.RemoveDatapointsRequest}
@@ -366,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+   * Request message for
+   * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.RemoveDatapointsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsResponse.java
index 9fb362f426a1..c31894c79f6d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/RemoveDatapointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+ * Response message for
+ * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.RemoveDatapointsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+   * Response message for
+   * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.RemoveDatapointsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java
index 56501ca61f33..f8c358392963 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java
@@ -71,9 +71,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. The number of replica hours used. Note that many replicas may run in
-   * parallel, and additionally any given work may be queued for some time.
-   * Therefore this value is not strictly related to wall time.
+   * Output only. The number of replica hours used. Note that many replicas may
+   * run in parallel, and additionally any given work may be queued for some
+   * time. Therefore this value is not strictly related to wall time.
    * 

    *
    * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -423,9 +423,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -440,9 +440,9 @@ public double getReplicaHours() {
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -460,9 +460,9 @@ public Builder setReplicaHours(double value) {
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java
index c740155a5d25..47759502f3ab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java
@@ -27,9 +27,9 @@ public interface ResourcesConsumedOrBuilder
    *
    *
    * 
-   * Output only. The number of replica hours used. Note that many replicas may run in
-   * parallel, and additionally any given work may be queued for some time.
-   * Therefore this value is not strictly related to wall time.
+   * Output only. The number of replica hours used. Note that many replicas may
+   * run in parallel, and additionally any given work may be queued for some
+   * time. Therefore this value is not strictly related to wall time.
    * 

    *
    * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttribution.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttribution.java
index 9a5072e75a4c..93099725abc5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttribution.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttribution.java
@@ -73,8 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The number of feature permutations to consider when approximating the
-   * Shapley values.
+   * Required. The number of feature permutations to consider when approximating
+   * the Shapley values.
    * Valid range of its value is [1, 50], inclusively.
    * 

    *
@@ -424,8 +424,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
@@ -441,8 +441,8 @@ public int getPathCount() {
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
@@ -461,8 +461,8 @@ public Builder setPathCount(int value) {
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttributionOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttributionOrBuilder.java
index 168394672f6a..c595911fb500 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttributionOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampledShapleyAttributionOrBuilder.java
@@ -27,8 +27,8 @@ public interface SampledShapleyAttributionOrBuilder
    *
    *
    * 
-   * Required. The number of feature permutations to consider when approximating the
-   * Shapley values.
+   * Required. The number of feature permutations to consider when approximating
+   * the Shapley values.
    * Valid range of its value is [1, 50], inclusively.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQuery.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQuery.java
index fe6e680dd0fc..dea6b0908423 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQuery.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQuery.java
@@ -513,8 +513,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-   * training.
+   * Output only. If the Annotations belonging to the SavedQuery can be used for
+   * AutoML training.
    * 

    *
    * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2326,8 +2326,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2342,8 +2342,8 @@ public boolean getSupportAutomlTraining() {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2361,8 +2361,8 @@ public Builder setSupportAutomlTraining(boolean value) {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQueryOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQueryOrBuilder.java
index a1e62ee1e7f0..7070441f1258 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQueryOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SavedQueryOrBuilder.java
@@ -304,8 +304,8 @@ public interface SavedQueryOrBuilder
    *
    *
    * 
-   * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-   * training.
+   * Output only. If the Annotations belonging to the SavedQuery can be used for
+   * AutoML training.
    * 

    *
    * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequest.java
index 7496f82a9c7a..873658730ac8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+ * Request message for
+ * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchDataItemsRequest}
@@ -83,8 +84,8 @@ public interface OrderByAnnotationOrBuilder
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -96,8 +97,8 @@ public interface OrderByAnnotationOrBuilder
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -192,8 +193,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -216,8 +217,8 @@ public java.lang.String getSavedQuery() {
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -664,8 +665,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -687,8 +688,8 @@ public java.lang.String getSavedQuery() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -710,8 +711,8 @@ public com.google.protobuf.ByteString getSavedQueryBytes() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -732,8 +733,8 @@ public Builder setSavedQuery(java.lang.String value) {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -750,8 +751,8 @@ public Builder clearSavedQuery() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1208,7 +1209,7 @@ public com.google.protobuf.ByteString getDatasetBytes() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
    * @return The savedQuery.
    */
   @java.lang.Override
@@ -1238,7 +1239,7 @@ public java.lang.String getSavedQuery() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
    * @return The bytes for savedQuery.
    */
   @java.lang.Override
@@ -1391,7 +1392,7 @@ public com.google.protobuf.ByteString getDataItemFilterBytes() {
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is deprecated.
-   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=467
    * @return The annotationsFilter.
    */
   @java.lang.Override
@@ -1419,7 +1420,7 @@ public java.lang.String getAnnotationsFilter() {
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is deprecated.
-   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=467
    * @return The bytes for annotationsFilter.
    */
   @java.lang.Override
@@ -1519,7 +1520,8 @@ public com.google.protobuf.ByteString getAnnotationFiltersBytes(int index) {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1534,7 +1536,8 @@ public boolean hasFieldMask() {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1549,7 +1552,8 @@ public com.google.protobuf.FieldMask getFieldMask() {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1611,7 +1615,7 @@ public int getPageSize() {
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
    * @return The orderBy.
    */
   @java.lang.Override
@@ -1638,7 +1642,7 @@ public java.lang.String getOrderBy() {
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
    * @return The bytes for orderBy.
    */
   @java.lang.Override
@@ -1663,8 +1667,10 @@ public com.google.protobuf.ByteString getOrderByBytes() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -1689,8 +1695,10 @@ public java.lang.String getPageToken() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -2014,7 +2022,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+   * Request message for
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchDataItemsRequest}
@@ -2915,7 +2924,7 @@ public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
      * @return The savedQuery.
      */
     @java.lang.Deprecated
@@ -2944,7 +2953,7 @@ public java.lang.String getSavedQuery() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
      * @return The bytes for savedQuery.
      */
     @java.lang.Deprecated
@@ -2973,7 +2982,7 @@ public com.google.protobuf.ByteString getSavedQueryBytes() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
      * @param value The savedQuery to set.
      * @return This builder for chaining.
      */
@@ -3001,7 +3010,7 @@ public Builder setSavedQuery(java.lang.String value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3025,7 +3034,7 @@ public Builder clearSavedQuery() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
      * @param value The bytes for savedQuery to set.
      * @return This builder for chaining.
      */
@@ -3326,7 +3335,7 @@ public Builder setDataItemFilterBytes(com.google.protobuf.ByteString value) {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=467
      * @return The annotationsFilter.
      */
     @java.lang.Deprecated
@@ -3353,7 +3362,7 @@ public java.lang.String getAnnotationsFilter() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=467
      * @return The bytes for annotationsFilter.
      */
     @java.lang.Deprecated
@@ -3380,7 +3389,7 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=467
      * @param value The annotationsFilter to set.
      * @return This builder for chaining.
      */
@@ -3406,7 +3415,7 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=467
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3428,7 +3437,7 @@ public Builder clearAnnotationsFilter() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1/dataset_service.proto;l=467
      * @param value The bytes for annotationsFilter to set.
      * @return This builder for chaining.
      */
@@ -3658,7 +3667,8 @@ public Builder addAnnotationFiltersBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3672,7 +3682,8 @@ public boolean hasFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3690,7 +3701,8 @@ public com.google.protobuf.FieldMask getFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3712,7 +3724,8 @@ public Builder setFieldMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3731,7 +3744,8 @@ public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValu
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3755,7 +3769,8 @@ public Builder mergeFieldMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3775,7 +3790,8 @@ public Builder clearFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3789,7 +3805,8 @@ public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3805,7 +3822,8 @@ public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3952,7 +3970,7 @@ public Builder clearPageSize() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
      * @return The orderBy.
      */
     @java.lang.Deprecated
@@ -3978,7 +3996,7 @@ public java.lang.String getOrderBy() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
      * @return The bytes for orderBy.
      */
     @java.lang.Deprecated
@@ -4004,7 +4022,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
      * @param value The orderBy to set.
      * @return This builder for chaining.
      */
@@ -4029,7 +4047,7 @@ public Builder setOrderBy(java.lang.String value) {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -4050,7 +4068,7 @@ public Builder clearOrderBy() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-     *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+     *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
      * @param value The bytes for orderBy to set.
      * @return This builder for chaining.
      */
@@ -4073,8 +4091,10 @@ public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4098,8 +4118,10 @@ public java.lang.String getPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4123,8 +4145,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4147,8 +4171,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4167,8 +4193,10 @@ public Builder clearPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequestOrBuilder.java
index 1a28a549a389..39ec339e3820 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsRequestOrBuilder.java
@@ -152,7 +152,7 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
    * @return The savedQuery.
    */
   @java.lang.Deprecated
@@ -171,7 +171,7 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.saved_query is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=414
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=436
    * @return The bytes for savedQuery.
    */
   @java.lang.Deprecated
@@ -263,7 +263,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is deprecated.
-   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=467
    * @return The annotationsFilter.
    */
   @java.lang.Deprecated
@@ -280,7 +280,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.annotations_filter is deprecated.
-   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=445
+   *     See google/cloud/aiplatform/v1/dataset_service.proto;l=467
    * @return The bytes for annotationsFilter.
    */
   @java.lang.Deprecated
@@ -357,7 +357,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -369,7 +370,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -381,7 +383,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -428,7 +431,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
    * @return The orderBy.
    */
   @java.lang.Deprecated
@@ -444,7 +447,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1/dataset_service.proto;l=491
    * @return The bytes for orderBy.
    */
   @java.lang.Deprecated
@@ -456,8 +459,10 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -471,8 +476,10 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponse.java
index 9b9a63b1e660..1ce6da1bc27f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+ * Response message for
+ * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchDataItemsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1.DataItemViewOrBuilder getDataItemViewsOrBu
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+   * Response message for
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchDataItemsResponse}
@@ -950,7 +956,9 @@ public com.google.cloud.aiplatform.v1.DataItemView.Builder addDataItemViewsBuild
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -973,7 +981,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -996,7 +1006,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1018,7 +1030,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1036,7 +1050,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponseOrBuilder.java
index c8b3b37617db..de1de4b8fe0b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchDataItemsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface SearchDataItemsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface SearchDataItemsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequest.java
index 942e34061056..8d4a816b09f3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+ * Request message for
+ * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchFeaturesRequest}
@@ -297,11 +298,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -325,11 +326,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -539,7 +540,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+   * Request message for
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchFeaturesRequest}
@@ -1278,11 +1280,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1305,11 +1307,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1332,11 +1334,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1358,11 +1360,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1380,11 +1382,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequestOrBuilder.java
index e4a0ef73478f..c10859265730 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesRequestOrBuilder.java
@@ -196,11 +196,11 @@ public interface SearchFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -213,11 +213,11 @@ public interface SearchFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponse.java
index 0375f7e38977..5a8bbc614c57 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+ * Response message for
+ * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchFeaturesResponse}
@@ -173,9 +174,10 @@ public com.google.cloud.aiplatform.v1.FeatureOrBuilder getFeaturesOrBuilder(int
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -198,9 +200,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -395,7 +398,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+   * Response message for
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchFeaturesResponse}
@@ -1082,9 +1086,10 @@ public java.util.List getFeature
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1106,9 +1111,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1130,9 +1136,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1153,9 +1160,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1172,9 +1180,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponseOrBuilder.java
index 0af61a4d3a57..95ddbca2806c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchFeaturesResponseOrBuilder.java
@@ -109,9 +109,10 @@ public interface SearchFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -123,9 +124,10 @@ public interface SearchFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java
index 7b07a0b3314d..b8c6329b34f9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+ * Request message for
+ * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesRequest}
@@ -76,10 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -105,10 +105,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -459,7 +458,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+   * Request message for
+   * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesRequest}
@@ -672,10 +672,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -700,10 +699,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -728,10 +726,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -755,10 +752,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -778,10 +774,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java
index 46f8f2d4b3ea..4e4bce66f866 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java
@@ -27,10 +27,9 @@ public interface SearchMigratableResourcesRequestOrBuilder
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -45,10 +44,9 @@ public interface SearchMigratableResourcesRequestOrBuilder
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java
index 467a5d9b4316..4ca3e7a92870 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+ * Response message for
+ * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesResponse}
@@ -374,7 +375,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+   * Response message for
+   * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
index e4f0193a6a19..143baef2e608 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
@@ -100,11 +100,12 @@ public interface StatsAnomaliesObjectiveOrBuilder
      *
      * 
      * If set, all attribution scores between
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-     * fetched, and page token doesn't take effect in this case.
-     * Only used to retrieve attribution score for the top Features which has
-     * the highest attribution score in the latest monitoring run.
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+     * and
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+     * are fetched, and page token doesn't take effect in this case. Only used
+     * to retrieve attribution score for the top Features which has the highest
+     * attribution score in the latest monitoring run.
      * 

      *
      * int32 top_feature_count = 4;
@@ -198,11 +199,12 @@ public com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType get
      *
      * 
      * If set, all attribution scores between
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-     * fetched, and page token doesn't take effect in this case.
-     * Only used to retrieve attribution score for the top Features which has
-     * the highest attribution score in the latest monitoring run.
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+     * and
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+     * are fetched, and page token doesn't take effect in this case. Only used
+     * to retrieve attribution score for the top Features which has the highest
+     * attribution score in the latest monitoring run.
      * 

      *
      * int32 top_feature_count = 4;
@@ -700,11 +702,12 @@ public Builder clearType() {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
@@ -720,11 +723,12 @@ public int getTopFeatureCount() {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
@@ -743,11 +747,12 @@ public Builder setTopFeatureCount(int value) {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfig.java
index 18bbd15eb324..f0b54345cf6d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfig.java
@@ -130,8 +130,8 @@ public GradientNoiseSigmaCase getGradientNoiseSigmaCase() {
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -155,8 +155,8 @@ public boolean hasNoiseSigma() {
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -176,12 +176,14 @@ public float getNoiseSigma() {
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -196,12 +198,14 @@ public boolean hasFeatureNoiseSigma() {
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -219,12 +223,14 @@ public com.google.cloud.aiplatform.v1.FeatureNoiseSigma getFeatureNoiseSigma() {
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -704,8 +710,8 @@ public Builder clearGradientNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -728,8 +734,8 @@ public boolean hasNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -755,8 +761,8 @@ public float getNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -783,8 +789,8 @@ public Builder setNoiseSigma(float value) {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -809,12 +815,14 @@ public Builder clearNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -829,12 +837,14 @@ public boolean hasFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -859,12 +869,14 @@ public com.google.cloud.aiplatform.v1.FeatureNoiseSigma getFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -886,12 +898,14 @@ public Builder setFeatureNoiseSigma(com.google.cloud.aiplatform.v1.FeatureNoiseS
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -911,12 +925,14 @@ public Builder setFeatureNoiseSigma(
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -949,12 +965,14 @@ public Builder mergeFeatureNoiseSigma(com.google.cloud.aiplatform.v1.FeatureNois
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -979,12 +997,14 @@ public Builder clearFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -996,12 +1016,14 @@ public com.google.cloud.aiplatform.v1.FeatureNoiseSigma.Builder getFeatureNoiseS
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -1022,12 +1044,14 @@ public com.google.cloud.aiplatform.v1.FeatureNoiseSigma.Builder getFeatureNoiseS
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfigOrBuilder.java
index 67e575de826f..f068957699dc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SmoothGradConfigOrBuilder.java
@@ -36,8 +36,8 @@ public interface SmoothGradConfigOrBuilder
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -58,8 +58,8 @@ public interface SmoothGradConfigOrBuilder
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -72,12 +72,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -89,12 +91,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -106,12 +110,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StopTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StopTrialRequest.java
index ff51cc859cf5..885cea8a462b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StopTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StopTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
+ * Request message for
+ * [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.StopTrialRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
+   * Request message for
+   * [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.StopTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequest.java
index 83560ab1d6e2..54dfb53eafb7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequest.java
@@ -139,9 +139,9 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -155,9 +155,9 @@ public com.google.protobuf.ProtocolStringList getEntityIdsList() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -171,9 +171,9 @@ public int getEntityIdsCount() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -188,9 +188,9 @@ public java.lang.String getEntityIds(int index) {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -208,8 +208,8 @@ public com.google.protobuf.ByteString getEntityIdsBytes(int index) {
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -226,8 +226,8 @@ public boolean hasFeatureSelector() {
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -246,8 +246,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector getFeatureSelector() {
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -825,9 +825,9 @@ private void ensureEntityIdsIsMutable() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -841,9 +841,9 @@ public com.google.protobuf.ProtocolStringList getEntityIdsList() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -857,9 +857,9 @@ public int getEntityIdsCount() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -874,9 +874,9 @@ public java.lang.String getEntityIds(int index) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -891,9 +891,9 @@ public com.google.protobuf.ByteString getEntityIdsBytes(int index) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -915,9 +915,9 @@ public Builder setEntityIds(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -938,9 +938,9 @@ public Builder addEntityIds(java.lang.String value) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -958,9 +958,9 @@ public Builder addAllEntityIds(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -977,9 +977,9 @@ public Builder clearEntityIds() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1008,8 +1008,8 @@ public Builder addEntityIdsBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1025,8 +1025,8 @@ public boolean hasFeatureSelector() {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1048,8 +1048,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector getFeatureSelector() {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1073,8 +1073,8 @@ public Builder setFeatureSelector(com.google.cloud.aiplatform.v1.FeatureSelector
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1096,8 +1096,8 @@ public Builder setFeatureSelector(
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1125,8 +1125,8 @@ public Builder mergeFeatureSelector(com.google.cloud.aiplatform.v1.FeatureSelect
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1148,8 +1148,8 @@ public Builder clearFeatureSelector() {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1165,8 +1165,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelector.Builder getFeatureSelector
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1186,8 +1186,8 @@ public com.google.cloud.aiplatform.v1.FeatureSelectorOrBuilder getFeatureSelecto
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequestOrBuilder.java
index 79b2aa7f7ee0..e4a919249c2a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StreamingReadFeatureValuesRequestOrBuilder.java
@@ -66,9 +66,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -80,9 +80,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,9 +94,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -109,9 +109,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -125,8 +125,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -140,8 +140,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -155,8 +155,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java
index 2e97db4d60c4..0ebf3b5f6ff0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java
@@ -156,7 +156,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "\022\014\n\010STOPPING\020\003\022\r\n\tSUCCEEDED\020\004\022\016\n\nINFEASI"
           + "BLE\020\005:l\352Ai\n\037aiplatform.googleapis.com/Tr"
           + "ial\022Fprojects/{project}/locations/{locat"
-          + "ion}/studies/{study}/trials/{trial}\"\300\032\n\t"
+          + "ion}/studies/{study}/trials/{trial}\"\206\033\n\t"
           + "StudySpec\022j\n\031decay_curve_stopping_spec\030\004"
           + " \001(\0132E.google.cloud.aiplatform.v1.StudyS"
           + "pec.DecayCurveAutomatedStoppingSpecH\000\022k\n"
@@ -229,30 +229,32 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "_SCALE\020\003B\026\n\024parameter_value_spec\032?\n\037Deca"
           + "yCurveAutomatedStoppingSpec\022\034\n\024use_elaps"
           + "ed_duration\030\001 \001(\010\032;\n\033MedianAutomatedStop"
-          + "pingSpec\022\034\n\024use_elapsed_duration\030\001 \001(\010\032\260"
+          + "pingSpec\022\034\n\024use_elapsed_duration\030\001 \001(\010\032\366"
           + "\001\n\033ConvexAutomatedStoppingSpec\022\026\n\016max_st"
           + "ep_count\030\001 \001(\003\022\026\n\016min_step_count\030\002 \001(\003\022\035"
           + "\n\025min_measurement_count\030\003 \001(\003\022$\n\034learnin"
           + "g_rate_parameter_name\030\004 \001(\t\022\034\n\024use_elaps"
-          + "ed_duration\030\005 \001(\010\"J\n\tAlgorithm\022\031\n\025ALGORI"
-          + "THM_UNSPECIFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRA"
-          + "NDOM_SEARCH\020\003\"H\n\020ObservationNoise\022!\n\035OBS"
-          + "ERVATION_NOISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n"
-          + "\004HIGH\020\002\"r\n\030MeasurementSelectionType\022*\n&M"
-          + "EASUREMENT_SELECTION_TYPE_UNSPECIFIED\020\000\022"
-          + "\024\n\020LAST_MEASUREMENT\020\001\022\024\n\020BEST_MEASUREMEN"
-          + "T\020\002B\031\n\027automated_stopping_spec\"\334\001\n\013Measu"
-          + "rement\0228\n\020elapsed_duration\030\001 \001(\0132\031.googl"
-          + "e.protobuf.DurationB\003\340A\003\022\027\n\nstep_count\030\002"
-          + " \001(\003B\003\340A\003\022D\n\007metrics\030\003 \003(\0132..google.clou"
-          + "d.aiplatform.v1.Measurement.MetricB\003\340A\003\032"
-          + "4\n\006Metric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005val"
-          + "ue\030\002 \001(\001B\003\340A\003B\316\001\n\036com.google.cloud.aipla"
-          + "tform.v1B\nStudyProtoP\001ZDgoogle.golang.or"
-          + "g/genproto/googleapis/cloud/aiplatform/v"
-          + "1;aiplatform\252\002\032Google.Cloud.AIPlatform.V"
-          + "1\312\002\032Google\\Cloud\\AIPlatform\\V1\352\002\035Google:"
-          + ":Cloud::AIPlatform::V1b\006proto3"
+          + "ed_duration\030\005 \001(\010\022&\n\031update_all_stopped_"
+          + "trials\030\006 \001(\010H\000\210\001\001B\034\n\032_update_all_stopped"
+          + "_trials\"J\n\tAlgorithm\022\031\n\025ALGORITHM_UNSPEC"
+          + "IFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARC"
+          + "H\020\003\"H\n\020ObservationNoise\022!\n\035OBSERVATION_N"
+          + "OISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004HIGH\020\002\"r\n"
+          + "\030MeasurementSelectionType\022*\n&MEASUREMENT"
+          + "_SELECTION_TYPE_UNSPECIFIED\020\000\022\024\n\020LAST_ME"
+          + "ASUREMENT\020\001\022\024\n\020BEST_MEASUREMENT\020\002B\031\n\027aut"
+          + "omated_stopping_spec\"\334\001\n\013Measurement\0228\n\020"
+          + "elapsed_duration\030\001 \001(\0132\031.google.protobuf"
+          + ".DurationB\003\340A\003\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022"
+          + "D\n\007metrics\030\003 \003(\0132..google.cloud.aiplatfo"
+          + "rm.v1.Measurement.MetricB\003\340A\003\0324\n\006Metric\022"
+          + "\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 \001(\001B\003"
+          + "\340A\003B\316\001\n\036com.google.cloud.aiplatform.v1B\n"
+          + "StudyProtoP\001ZDgoogle.golang.org/genproto"
+          + "/googleapis/cloud/aiplatform/v1;aiplatfo"
+          + "rm\252\002\032Google.Cloud.AIPlatform.V1\312\002\032Google"
+          + "\\Cloud\\AIPlatform\\V1\352\002\035Google::Cloud::AI"
+          + "Platform::V1b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -457,6 +459,8 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "MinMeasurementCount",
               "LearningRateParameterName",
               "UseElapsedDuration",
+              "UpdateAllStoppedTrials",
+              "UpdateAllStoppedTrials",
             });
     internal_static_google_cloud_aiplatform_v1_Measurement_descriptor =
         getDescriptor().getMessageTypes().get(3);
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java
index 934f656eb686..e0e688c739ea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java
@@ -582,8 +582,8 @@ public interface MetricSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -595,8 +595,8 @@ public interface MetricSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -849,8 +849,8 @@ private GoalType(int value) {
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -873,8 +873,8 @@ public java.lang.String getMetricId() {
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1301,8 +1301,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1324,8 +1324,8 @@ public java.lang.String getMetricId() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1347,8 +1347,8 @@ public com.google.protobuf.ByteString getMetricIdBytes() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1369,8 +1369,8 @@ public Builder setMetricId(java.lang.String value) {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1387,8 +1387,8 @@ public Builder clearMetricId() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1752,8 +1752,8 @@ public interface ParameterSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1765,8 +1765,8 @@ public interface ParameterSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -7749,8 +7749,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7763,8 +7763,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7777,8 +7777,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7792,8 +7792,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7864,8 +7864,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7880,8 +7880,8 @@ public com.google.protobuf.ProtocolStringList getValuesList() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7896,8 +7896,8 @@ public int getValuesCount() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7913,8 +7913,8 @@ public java.lang.String getValues(int index) {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -8355,8 +8355,8 @@ private void ensureValuesIsMutable() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8371,8 +8371,8 @@ public com.google.protobuf.ProtocolStringList getValuesList() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8387,8 +8387,8 @@ public int getValuesCount() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8404,8 +8404,8 @@ public java.lang.String getValues(int index) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8421,8 +8421,8 @@ public com.google.protobuf.ByteString getValuesBytes(int index) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8445,8 +8445,8 @@ public Builder setValues(int index, java.lang.String value) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8468,8 +8468,8 @@ public Builder addValues(java.lang.String value) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8488,8 +8488,8 @@ public Builder addAllValues(java.lang.Iterable values) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8507,8 +8507,8 @@ public Builder clearValues() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -10872,8 +10872,8 @@ public boolean hasDiscreteValueSpec() {
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -10896,8 +10896,8 @@ public java.lang.String getParameterId() {
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12687,8 +12687,8 @@ public Builder clearDiscreteValueSpec() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12710,8 +12710,8 @@ public java.lang.String getParameterId() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12733,8 +12733,8 @@ public com.google.protobuf.ByteString getParameterIdBytes() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12755,8 +12755,8 @@ public Builder setParameterId(java.lang.String value) {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12773,8 +12773,8 @@ public Builder clearParameterId() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -13451,9 +13451,11 @@ public interface DecayCurveAutomatedStoppingSpecOrBuilder
      *
      *
      * 
-     * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-     * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-     * as the x-axis.
+     * True if
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+     * is used as the x-axis of each Trials Decay Curve. Otherwise,
+     * [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+     * will be used as the x-axis.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -13522,9 +13524,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-     * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-     * as the x-axis.
+     * True if
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+     * is used as the x-axis of each Trials Decay Curve. Otherwise,
+     * [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+     * will be used as the x-axis.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -13896,9 +13900,11 @@ public Builder mergeFrom(
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -13913,9 +13919,11 @@ public boolean getUseElapsedDuration() {
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -13933,9 +13941,11 @@ public Builder setUseElapsedDuration(boolean value) {
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14027,9 +14037,10 @@ public interface MedianAutomatedStoppingSpecOrBuilder
      *
      * 
      * True if median automated stopping rule applies on
-     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-     * field of latest measurement of current Trial is used to compute median
-     * objective value for each completed Trials.
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+     * It means that elapsed_duration field of latest measurement of current
+     * Trial is used to compute median objective value for each completed
+     * Trials.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -14097,9 +14108,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * True if median automated stopping rule applies on
-     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-     * field of latest measurement of current Trial is used to compute median
-     * objective value for each completed Trials.
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+     * It means that elapsed_duration field of latest measurement of current
+     * Trial is used to compute median objective value for each completed
+     * Trials.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -14463,9 +14475,10 @@ public Builder mergeFrom(
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14481,9 +14494,10 @@ public boolean getUseElapsedDuration() {
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14502,9 +14516,10 @@ public Builder setUseElapsedDuration(boolean value) {
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14690,6 +14705,43 @@ public interface ConvexAutomatedStoppingSpecOrBuilder
      * @return The useElapsedDuration.
      */
     boolean getUseElapsedDuration();
+
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return Whether the updateAllStoppedTrials field is set.
+     */
+    boolean hasUpdateAllStoppedTrials();
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return The updateAllStoppedTrials.
+     */
+    boolean getUpdateAllStoppedTrials();
   }
   /**
    *
@@ -14750,6 +14802,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
               com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec.Builder.class);
     }
 
+    private int bitField0_;
     public static final int MAX_STEP_COUNT_FIELD_NUMBER = 1;
     private long maxStepCount_;
     /**
@@ -14895,6 +14948,51 @@ public boolean getUseElapsedDuration() {
       return useElapsedDuration_;
     }
 
+    public static final int UPDATE_ALL_STOPPED_TRIALS_FIELD_NUMBER = 6;
+    private boolean updateAllStoppedTrials_;
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return Whether the updateAllStoppedTrials field is set.
+     */
+    @java.lang.Override
+    public boolean hasUpdateAllStoppedTrials() {
+      return ((bitField0_ & 0x00000001) != 0);
+    }
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return The updateAllStoppedTrials.
+     */
+    @java.lang.Override
+    public boolean getUpdateAllStoppedTrials() {
+      return updateAllStoppedTrials_;
+    }
+
     private byte memoizedIsInitialized = -1;
 
     @java.lang.Override
@@ -14924,6 +15022,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       if (useElapsedDuration_ != false) {
         output.writeBool(5, useElapsedDuration_);
       }
+      if (((bitField0_ & 0x00000001) != 0)) {
+        output.writeBool(6, updateAllStoppedTrials_);
+      }
       getUnknownFields().writeTo(output);
     }
 
@@ -14949,6 +15050,9 @@ public int getSerializedSize() {
       if (useElapsedDuration_ != false) {
         size += com.google.protobuf.CodedOutputStream.computeBoolSize(5, useElapsedDuration_);
       }
+      if (((bitField0_ & 0x00000001) != 0)) {
+        size += com.google.protobuf.CodedOutputStream.computeBoolSize(6, updateAllStoppedTrials_);
+      }
       size += getUnknownFields().getSerializedSize();
       memoizedSize = size;
       return size;
@@ -14971,6 +15075,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getLearningRateParameterName().equals(other.getLearningRateParameterName()))
         return false;
       if (getUseElapsedDuration() != other.getUseElapsedDuration()) return false;
+      if (hasUpdateAllStoppedTrials() != other.hasUpdateAllStoppedTrials()) return false;
+      if (hasUpdateAllStoppedTrials()) {
+        if (getUpdateAllStoppedTrials() != other.getUpdateAllStoppedTrials()) return false;
+      }
       if (!getUnknownFields().equals(other.getUnknownFields())) return false;
       return true;
     }
@@ -14992,6 +15100,10 @@ public int hashCode() {
       hash = (53 * hash) + getLearningRateParameterName().hashCode();
       hash = (37 * hash) + USE_ELAPSED_DURATION_FIELD_NUMBER;
       hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getUseElapsedDuration());
+      if (hasUpdateAllStoppedTrials()) {
+        hash = (37 * hash) + UPDATE_ALL_STOPPED_TRIALS_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getUpdateAllStoppedTrials());
+      }
       hash = (29 * hash) + getUnknownFields().hashCode();
       memoizedHashCode = hash;
       return hash;
@@ -15154,6 +15266,8 @@ public Builder clear() {
 
         useElapsedDuration_ = false;
 
+        updateAllStoppedTrials_ = false;
+        bitField0_ = (bitField0_ & ~0x00000001);
         return this;
       }
 
@@ -15184,11 +15298,18 @@ public com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec buil
       public com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec buildPartial() {
         com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec result =
             new com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec(this);
+        int from_bitField0_ = bitField0_;
+        int to_bitField0_ = 0;
         result.maxStepCount_ = maxStepCount_;
         result.minStepCount_ = minStepCount_;
         result.minMeasurementCount_ = minMeasurementCount_;
         result.learningRateParameterName_ = learningRateParameterName_;
         result.useElapsedDuration_ = useElapsedDuration_;
+        if (((from_bitField0_ & 0x00000001) != 0)) {
+          result.updateAllStoppedTrials_ = updateAllStoppedTrials_;
+          to_bitField0_ |= 0x00000001;
+        }
+        result.bitField0_ = to_bitField0_;
         onBuilt();
         return result;
       }
@@ -15260,6 +15381,9 @@ public Builder mergeFrom(
         if (other.getUseElapsedDuration() != false) {
           setUseElapsedDuration(other.getUseElapsedDuration());
         }
+        if (other.hasUpdateAllStoppedTrials()) {
+          setUpdateAllStoppedTrials(other.getUpdateAllStoppedTrials());
+        }
         this.mergeUnknownFields(other.getUnknownFields());
         onChanged();
         return this;
@@ -15316,6 +15440,12 @@ public Builder mergeFrom(
 
                   break;
                 } // case 40
+              case 48:
+                {
+                  updateAllStoppedTrials_ = input.readBool();
+                  bitField0_ |= 0x00000001;
+                  break;
+                } // case 48
               default:
                 {
                   if (!super.parseUnknownField(input, extensionRegistry, tag)) {
@@ -15333,6 +15463,8 @@ public Builder mergeFrom(
         return this;
       }
 
+      private int bitField0_;
+
       private long maxStepCount_;
       /**
        *
@@ -15716,6 +15848,97 @@ public Builder clearUseElapsedDuration() {
         return this;
       }
 
+      private boolean updateAllStoppedTrials_;
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return Whether the updateAllStoppedTrials field is set.
+       */
+      @java.lang.Override
+      public boolean hasUpdateAllStoppedTrials() {
+        return ((bitField0_ & 0x00000001) != 0);
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return The updateAllStoppedTrials.
+       */
+      @java.lang.Override
+      public boolean getUpdateAllStoppedTrials() {
+        return updateAllStoppedTrials_;
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @param value The updateAllStoppedTrials to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUpdateAllStoppedTrials(boolean value) {
+        bitField0_ |= 0x00000001;
+        updateAllStoppedTrials_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearUpdateAllStoppedTrials() {
+        bitField0_ = (bitField0_ & ~0x00000001);
+        updateAllStoppedTrials_ = false;
+        onChanged();
+        return this;
+      }
+
       @java.lang.Override
       public final Builder setUnknownFields(
           final com.google.protobuf.UnknownFieldSet unknownFields) {
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsRequest.java
index e727bc28e1b8..9c3d0410b990 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+ * Request message for
+ * [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SuggestTrialsRequest}
@@ -377,7 +378,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+   * Request message for
+   * [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SuggestTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsResponse.java
index 871e6e575139..b3eed1553cbd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SuggestTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+ * Response message for
+ * [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.SuggestTrialsResponse}
@@ -467,7 +468,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+   * Response message for
+   * [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.SuggestTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Tensorboard.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Tensorboard.java
index 5df03be67023..8567cd92d3ea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Tensorboard.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Tensorboard.java
@@ -295,8 +295,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -319,8 +319,8 @@ public java.lang.String getBlobStoragePathPrefix() {
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1771,8 +1771,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1795,8 +1795,8 @@ public java.lang.String getBlobStoragePathPrefix() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1819,8 +1819,8 @@ public com.google.protobuf.ByteString getBlobStoragePathPrefixBytes() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1842,8 +1842,8 @@ public Builder setBlobStoragePathPrefix(java.lang.String value) {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1861,8 +1861,8 @@ public Builder clearBlobStoragePathPrefix() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlob.java
index 963e4746587a..a368adb020bf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlob.java
@@ -74,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -98,8 +98,8 @@ public java.lang.String getId() {
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -493,8 +493,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -516,8 +516,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -539,8 +539,8 @@ public com.google.protobuf.ByteString getIdBytes() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -561,8 +561,8 @@ public Builder setId(java.lang.String value) {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -579,8 +579,8 @@ public Builder clearId() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlobOrBuilder.java
index 296d73aca0d2..04817e352240 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardBlobOrBuilder.java
@@ -27,8 +27,8 @@ public interface TensorboardBlobOrBuilder
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -40,8 +40,8 @@ public interface TensorboardBlobOrBuilder
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperiment.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperiment.java
index 0ffc18f9cd23..7a46a414052b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperiment.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperiment.java
@@ -531,7 +531,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -554,7 +555,8 @@ public java.lang.String getSource() {
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2197,7 +2199,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2219,7 +2222,8 @@ public java.lang.String getSource() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2241,7 +2245,8 @@ public com.google.protobuf.ByteString getSourceBytes() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2262,7 +2267,8 @@ public Builder setSource(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2279,7 +2285,8 @@ public Builder clearSource() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperimentOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperimentOrBuilder.java
index 7cc34f7070f4..40e58ca983c9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperimentOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardExperimentOrBuilder.java
@@ -323,7 +323,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -335,7 +336,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardOrBuilder.java
index 6a4d1c8e4892..2936c189935e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardOrBuilder.java
@@ -147,8 +147,8 @@ public interface TensorboardOrBuilder
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -160,8 +160,8 @@ public interface TensorboardOrBuilder
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceProto.java
index d1ea89466888..bdca2b4e4e73 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardServiceProto.java
@@ -35,6 +35,26 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1_GetTensorboardRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1_GetTensorboardRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_aiplatform_v1_ListTensorboardsRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -224,354 +244,373 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "d\030\002 \001(\0132\'.google.cloud.aiplatform.v1.Ten"
           + "sorboardB\003\340A\002\"T\n\025GetTensorboardRequest\022;"
           + "\n\004name\030\001 \001(\tB-\340A\002\372A\'\n%aiplatform.googlea"
-          + "pis.com/Tensorboard\"\320\001\n\027ListTensorboards"
-          + "Request\022=\n\006parent\030\001 \001(\tB-\340A\002\372A\'\022%aiplatf"
-          + "orm.googleapis.com/Tensorboard\022\016\n\006filter"
+          + "pis.com/Tensorboard\"a\n\033ReadTensorboardUs"
+          + "ageRequest\022B\n\013tensorboard\030\001 \001(\tB-\340A\002\372A\'\n"
+          + "%aiplatform.googleapis.com/Tensorboard\"\303"
+          + "\003\n\034ReadTensorboardUsageResponse\022j\n\022month"
+          + "ly_usage_data\030\001 \003(\0132N.google.cloud.aipla"
+          + "tform.v1.ReadTensorboardUsageResponse.Mo"
+          + "nthlyUsageDataEntry\0328\n\020PerUserUsageData\022"
+          + "\020\n\010username\030\001 \001(\t\022\022\n\nview_count\030\002 \001(\003\032w\n"
+          + "\021PerMonthUsageData\022b\n\017user_usage_data\030\001 "
+          + "\003(\0132I.google.cloud.aiplatform.v1.ReadTen"
+          + "sorboardUsageResponse.PerUserUsageData\032\203"
+          + "\001\n\025MonthlyUsageDataEntry\022\013\n\003key\030\001 \001(\t\022Y\n"
+          + "\005value\030\002 \001(\0132J.google.cloud.aiplatform.v"
+          + "1.ReadTensorboardUsageResponse.PerMonthU"
+          + "sageData:\0028\001\"\320\001\n\027ListTensorboardsRequest"
+          + "\022=\n\006parent\030\001 \001(\tB-\340A\002\372A\'\022%aiplatform.goo"
+          + "gleapis.com/Tensorboard\022\016\n\006filter\030\002 \001(\t\022"
+          + "\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022\020"
+          + "\n\010order_by\030\005 \001(\t\022-\n\tread_mask\030\006 \001(\0132\032.go"
+          + "ogle.protobuf.FieldMask\"r\n\030ListTensorboa"
+          + "rdsResponse\022=\n\014tensorboards\030\001 \003(\0132\'.goog"
+          + "le.cloud.aiplatform.v1.Tensorboard\022\027\n\017ne"
+          + "xt_page_token\030\002 \001(\t\"\223\001\n\030UpdateTensorboar"
+          + "dRequest\0224\n\013update_mask\030\001 \001(\0132\032.google.p"
+          + "rotobuf.FieldMaskB\003\340A\002\022A\n\013tensorboard\030\002 "
+          + "\001(\0132\'.google.cloud.aiplatform.v1.Tensorb"
+          + "oardB\003\340A\002\"W\n\030DeleteTensorboardRequest\022;\n"
+          + "\004name\030\001 \001(\tB-\340A\002\372A\'\n%aiplatform.googleap"
+          + "is.com/Tensorboard\"\350\001\n\"CreateTensorboard"
+          + "ExperimentRequest\022G\n\006parent\030\001 \001(\tB7\340A\002\372A"
+          + "1\n/aiplatform.googleapis.com/Tensorboard"
+          + "Experiment\022Q\n\026tensorboard_experiment\030\002 \001"
+          + "(\01321.google.cloud.aiplatform.v1.Tensorbo"
+          + "ardExperiment\022&\n\031tensorboard_experiment_"
+          + "id\030\003 \001(\tB\003\340A\002\"h\n\037GetTensorboardExperimen"
+          + "tRequest\022E\n\004name\030\001 \001(\tB7\340A\002\372A1\n/aiplatfo"
+          + "rm.googleapis.com/TensorboardExperiment\""
+          + "\344\001\n!ListTensorboardExperimentsRequest\022G\n"
+          + "\006parent\030\001 \001(\tB7\340A\002\372A1\022/aiplatform.google"
+          + "apis.com/TensorboardExperiment\022\016\n\006filter"
           + "\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_token\030"
           + "\004 \001(\t\022\020\n\010order_by\030\005 \001(\t\022-\n\tread_mask\030\006 \001"
-          + "(\0132\032.google.protobuf.FieldMask\"r\n\030ListTe"
-          + "nsorboardsResponse\022=\n\014tensorboards\030\001 \003(\013"
-          + "2\'.google.cloud.aiplatform.v1.Tensorboar"
-          + "d\022\027\n\017next_page_token\030\002 \001(\t\"\223\001\n\030UpdateTen"
-          + "sorboardRequest\0224\n\013update_mask\030\001 \001(\0132\032.g"
-          + "oogle.protobuf.FieldMaskB\003\340A\002\022A\n\013tensorb"
-          + "oard\030\002 \001(\0132\'.google.cloud.aiplatform.v1."
-          + "TensorboardB\003\340A\002\"W\n\030DeleteTensorboardReq"
-          + "uest\022;\n\004name\030\001 \001(\tB-\340A\002\372A\'\n%aiplatform.g"
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+          + "t\022X\n\027tensorboard_time_series\030\001 \001(\tB7\340A\002\372"
+          + "A1\n/aiplatform.googleapis.com/Tensorboar"
+          + "dTimeSeries\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size"
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+          + " \001(\t\"\224\001\n\'ExportTensorboardTimeSeriesData"
+          + "Response\022P\n\027time_series_data_points\030\001 \003("
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-          + "onse\"n\202\323\344\223\002V\"Q/v1/{parent=projects/*/loc"
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-          + "e.cloud.aiplatform.v1.TensorboardRun\"T\202\323"
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-          + "boardRun\"\214\001\202\323\344\223\002h2U/v1/{tensorboard_run."
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-          + "/*/experiments/*/runs/*}:\017tensorboard_ru"
-          + "n\332A\033tensorboard_run,update_mask\022\336\001\n\023List"
-          + "TensorboardRuns\0226.google.cloud.aiplatfor"
-          + "m.v1.ListTensorboardRunsRequest\0327.google"
-          + ".cloud.aiplatform.v1.ListTensorboardRuns"
-          + "Response\"V\202\323\344\223\002G\022E/v1/{parent=projects/*"
-          + "/locations/*/tensorboards/*/experiments/"
-          + "*}/runs\332A\006parent\022\370\001\n\024DeleteTensorboardRu"
-          + "n\0227.google.cloud.aiplatform.v1.DeleteTen"
-          + "sorboardRunRequest\032\035.google.longrunning."
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+          + "rds/*}/experiments:\026tensorboard_experime"
+          + "nt\332A7parent,tensorboard_experiment,tenso"
+          + "rboard_experiment_id\022\331\001\n\030GetTensorboardE"
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+          + "etTensorboardExperimentRequest\0321.google."
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+          + "s/*/tensorboards/*/experiments/*}\332A\004name"
+          + "\022\255\002\n\033UpdateTensorboardExperiment\022>.googl"
+          + "e.cloud.aiplatform.v1.UpdateTensorboardE"
+          + "xperimentRequest\0321.google.cloud.aiplatfo"
+          + "rm.v1.TensorboardExperiment\"\232\001\202\323\344\223\002o2U/v"
+          + "1/{tensorboard_experiment.name=projects/"
+          + "*/locations/*/tensorboards/*/experiments"
+          + "/*}:\026tensorboard_experiment\332A\"tensorboar"
+          + "d_experiment,update_mask\022\354\001\n\032ListTensorb"
+          + "oardExperiments\022=.google.cloud.aiplatfor"
+          + "m.v1.ListTensorboardExperimentsRequest\032>"
+          + ".google.cloud.aiplatform.v1.ListTensorbo"
+          + "ardExperimentsResponse\"O\202\323\344\223\002@\022>/v1/{par"
+          + "ent=projects/*/locations/*/tensorboards/"
+          + "*}/experiments\332A\006parent\022\377\001\n\033DeleteTensor"
+          + "boardExperiment\022>.google.cloud.aiplatfor"
+          + "m.v1.DeleteTensorboardExperimentRequest\032"
+          + "\035.google.longrunning.Operation\"\200\001\202\323\344\223\002@*"
+          + ">/v1/{name=projects/*/locations/*/tensor"
+          + "boards/*/experiments/*}\332A\004name\312A0\n\025googl"
+          + "e.protobuf.Empty\022\027DeleteOperationMetadat"
+          + "a\022\210\002\n\024CreateTensorboardRun\0227.google.clou"
+          + "d.aiplatform.v1.CreateTensorboardRunRequ"
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+          + "oardRun\"\212\001\202\323\344\223\002X\"E/v1/{parent=projects/*"
           + "/locations/*/tensorboards/*/experiments/"
-          + "*/runs/*}\332A\004name\312A0\n\025google.protobuf.Emp"
-          + "ty\022\027DeleteOperationMetadata\022\252\002\n BatchCre"
-          + "ateTensorboardTimeSeries\022C.google.cloud."
-          + "aiplatform.v1.BatchCreateTensorboardTime"
-          + "SeriesRequest\032D.google.cloud.aiplatform."
-          + "v1.BatchCreateTensorboardTimeSeriesRespo"
-          + "nse\"{\202\323\344\223\002c\"^/v1/{parent=projects/*/loca"
-          + "tions/*/tensorboards/*/experiments/*}/ru"
-          + "ns/*/timeSeries:batchCreate:\001*\332A\017parent,"
-          + "requests\022\247\002\n\033CreateTensorboardTimeSeries"
-          + "\022>.google.cloud.aiplatform.v1.CreateTens"
-          + "orboardTimeSeriesRequest\0321.google.cloud."
-          + "aiplatform.v1.TensorboardTimeSeries\"\224\001\202\323"
-          + "\344\223\002m\"R/v1/{parent=projects/*/locations/*"
-          + "/tensorboards/*/experiments/*/runs/*}/ti"
-          + "meSeries:\027tensorboard_time_series\332A\036pare"
-          + "nt,tensorboard_time_series\022\355\001\n\030GetTensor"
-          + "boardTimeSeries\022;.google.cloud.aiplatfor"
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-          + "oogle.cloud.aiplatform.v1.TensorboardTim"
-          + "eSeries\"a\202\323\344\223\002T\022R/v1/{name=projects/*/lo"
+          + "*}/runs:\017tensorboard_run\332A)parent,tensor"
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+          + "st\032>.google.cloud.aiplatform.v1.BatchCre"
+          + "ateTensorboardRunsResponse\"n\202\323\344\223\002V\"Q/v1/"
+          + "{parent=projects/*/locations/*/tensorboa"
+          + "rds/*/experiments/*}/runs:batchCreate:\001*"
+          + "\332A\017parent,requests\022\313\001\n\021GetTensorboardRun"
+          + "\0224.google.cloud.aiplatform.v1.GetTensorb"
+          + "oardRunRequest\032*.google.cloud.aiplatform"
+          + ".v1.TensorboardRun\"T\202\323\344\223\002G\022E/v1/{name=pr"
+          + "ojects/*/locations/*/tensorboards/*/expe"
+          + "riments/*/runs/*}\332A\004name\022\212\002\n\024UpdateTenso"
+          + "rboardRun\0227.google.cloud.aiplatform.v1.U"
+          + "pdateTensorboardRunRequest\032*.google.clou"
+          + "d.aiplatform.v1.TensorboardRun\"\214\001\202\323\344\223\002h2"
+          + "U/v1/{tensorboard_run.name=projects/*/lo"
           + "cations/*/tensorboards/*/experiments/*/r"
-          + "uns/*/timeSeries/*}\332A\004name\022\305\002\n\033UpdateTen"
-          + "sorboardTimeSeries\022>.google.cloud.aiplat"
-          + "form.v1.UpdateTensorboardTimeSeriesReque"
-          + "st\0321.google.cloud.aiplatform.v1.Tensorbo"
-          + "ardTimeSeries\"\262\001\202\323\344\223\002\205\0012j/v1/{tensorboar"
-          + "d_time_series.name=projects/*/locations/"
+          + "uns/*}:\017tensorboard_run\332A\033tensorboard_ru"
+          + "n,update_mask\022\336\001\n\023ListTensorboardRuns\0226."
+          + "google.cloud.aiplatform.v1.ListTensorboa"
+          + "rdRunsRequest\0327.google.cloud.aiplatform."
+          + "v1.ListTensorboardRunsResponse\"V\202\323\344\223\002G\022E"
+          + "/v1/{parent=projects/*/locations/*/tenso"
+          + "rboards/*/experiments/*}/runs\332A\006parent\022\370"
+          + "\001\n\024DeleteTensorboardRun\0227.google.cloud.a"
+          + "iplatform.v1.DeleteTensorboardRunRequest"
+          + "\032\035.google.longrunning.Operation\"\207\001\202\323\344\223\002G"
+          + "*E/v1/{name=projects/*/locations/*/tenso"
+          + "rboards/*/experiments/*/runs/*}\332A\004name\312A"
+          + "0\n\025google.protobuf.Empty\022\027DeleteOperatio"
+          + "nMetadata\022\252\002\n BatchCreateTensorboardTime"
+          + "Series\022C.google.cloud.aiplatform.v1.Batc"
+          + "hCreateTensorboardTimeSeriesRequest\032D.go"
+          + "ogle.cloud.aiplatform.v1.BatchCreateTens"
+          + "orboardTimeSeriesResponse\"{\202\323\344\223\002c\"^/v1/{"
+          + "parent=projects/*/locations/*/tensorboar"
+          + "ds/*/experiments/*}/runs/*/timeSeries:ba"
+          + "tchCreate:\001*\332A\017parent,requests\022\247\002\n\033Creat"
+          + "eTensorboardTimeSeries\022>.google.cloud.ai"
+          + "platform.v1.CreateTensorboardTimeSeriesR"
+          + "equest\0321.google.cloud.aiplatform.v1.Tens"
+          + "orboardTimeSeries\"\224\001\202\323\344\223\002m\"R/v1/{parent="
+          + "projects/*/locations/*/tensorboards/*/ex"
+          + "periments/*/runs/*}/timeSeries:\027tensorbo"
+          + "ard_time_series\332A\036parent,tensorboard_tim"
+          + "e_series\022\355\001\n\030GetTensorboardTimeSeries\022;."
+          + "google.cloud.aiplatform.v1.GetTensorboar"
+          + "dTimeSeriesRequest\0321.google.cloud.aiplat"
+          + "form.v1.TensorboardTimeSeries\"a\202\323\344\223\002T\022R/"
+          + "v1/{name=projects/*/locations/*/tensorbo"
+          + "ards/*/experiments/*/runs/*/timeSeries/*"
+          + "}\332A\004name\022\305\002\n\033UpdateTensorboardTimeSeries"
+          + "\022>.google.cloud.aiplatform.v1.UpdateTens"
+          + "orboardTimeSeriesRequest\0321.google.cloud."
+          + "aiplatform.v1.TensorboardTimeSeries\"\262\001\202\323"
+          + "\344\223\002\205\0012j/v1/{tensorboard_time_series.name"
+          + "=projects/*/locations/*/tensorboards/*/e"
+          + "xperiments/*/runs/*/timeSeries/*}:\027tenso"
+          + "rboard_time_series\332A#tensorboard_time_se"
+          + "ries,update_mask\022\375\001\n\031ListTensorboardTime"
+          + "Series\022<.google.cloud.aiplatform.v1.List"
+          + "TensorboardTimeSeriesRequest\032=.google.cl"
+          + "oud.aiplatform.v1.ListTensorboardTimeSer"
+          + "iesResponse\"c\202\323\344\223\002T\022R/v1/{parent=project"
+          + "s/*/locations/*/tensorboards/*/experimen"
+          + "ts/*/runs/*}/timeSeries\332A\006parent\022\223\002\n\033Del"
+          + "eteTensorboardTimeSeries\022>.google.cloud."
+          + "aiplatform.v1.DeleteTensorboardTimeSerie"
+          + "sRequest\032\035.google.longrunning.Operation\""
+          + "\224\001\202\323\344\223\002T*R/v1/{name=projects/*/locations"
+          + "/*/tensorboards/*/experiments/*/runs/*/t"
+          + "imeSeries/*}\332A\004name\312A0\n\025google.protobuf."
+          + "Empty\022\027DeleteOperationMetadata\022\254\002\n\"Batch"
+          + "ReadTensorboardTimeSeriesData\022E.google.c"
+          + "loud.aiplatform.v1.BatchReadTensorboardT"
+          + "imeSeriesDataRequest\032F.google.cloud.aipl"
+          + "atform.v1.BatchReadTensorboardTimeSeries"
+          + "DataResponse\"w\202\323\344\223\002c\022a/v1/{tensorboard=p"
+          + "rojects/*/locations/*/tensorboards/*}/ex"
+          + "periments/*/runs/*/timeSeries:batchRead\332"
+          + "A\013tensorboard\022\263\002\n\035ReadTensorboardTimeSer"
+          + "iesData\022@.google.cloud.aiplatform.v1.Rea"
+          + "dTensorboardTimeSeriesDataRequest\032A.goog"
+          + "le.cloud.aiplatform.v1.ReadTensorboardTi"
+          + "meSeriesDataResponse\"\214\001\202\323\344\223\002l\022j/v1/{tens"
+          + "orboard_time_series=projects/*/locations"
+          + "/*/tensorboards/*/experiments/*/runs/*/t"
+          + "imeSeries/*}:read\332A\027tensorboard_time_ser"
+          + "ies\022\222\002\n\027ReadTensorboardBlobData\022:.google"
+          + ".cloud.aiplatform.v1.ReadTensorboardBlob"
+          + "DataRequest\032;.google.cloud.aiplatform.v1"
+          + ".ReadTensorboardBlobDataResponse\"|\202\323\344\223\002h"
+          + "\022f/v1/{time_series=projects/*/locations/"
           + "*/tensorboards/*/experiments/*/runs/*/ti"
-          + "meSeries/*}:\027tensorboard_time_series\332A#t"
-          + "ensorboard_time_series,update_mask\022\375\001\n\031L"
-          + "istTensorboardTimeSeries\022<.google.cloud."
-          + "aiplatform.v1.ListTensorboardTimeSeriesR"
-          + "equest\032=.google.cloud.aiplatform.v1.List"
-          + "TensorboardTimeSeriesResponse\"c\202\323\344\223\002T\022R/"
-          + "v1/{parent=projects/*/locations/*/tensor"
-          + "boards/*/experiments/*/runs/*}/timeSerie"
-          + "s\332A\006parent\022\223\002\n\033DeleteTensorboardTimeSeri"
-          + "es\022>.google.cloud.aiplatform.v1.DeleteTe"
-          + "nsorboardTimeSeriesRequest\032\035.google.long"
-          + "running.Operation\"\224\001\202\323\344\223\002T*R/v1/{name=pr"
-          + "ojects/*/locations/*/tensorboards/*/expe"
-          + "riments/*/runs/*/timeSeries/*}\332A\004name\312A0"
-          + "\n\025google.protobuf.Empty\022\027DeleteOperation"
-          + "Metadata\022\254\002\n\"BatchReadTensorboardTimeSer"
-          + "iesData\022E.google.cloud.aiplatform.v1.Bat"
-          + "chReadTensorboardTimeSeriesDataRequest\032F"
-          + ".google.cloud.aiplatform.v1.BatchReadTen"
-          + "sorboardTimeSeriesDataResponse\"w\202\323\344\223\002c\022a"
-          + "/v1/{tensorboard=projects/*/locations/*/"
-          + "tensorboards/*}/experiments/*/runs/*/tim"
-          + "eSeries:batchRead\332A\013tensorboard\022\263\002\n\035Read"
-          + "TensorboardTimeSeriesData\022@.google.cloud"
-          + ".aiplatform.v1.ReadTensorboardTimeSeries"
-          + "DataRequest\032A.google.cloud.aiplatform.v1"
-          + ".ReadTensorboardTimeSeriesDataResponse\"\214"
-          + "\001\202\323\344\223\002l\022j/v1/{tensorboard_time_series=pr"
-          + "ojects/*/locations/*/tensorboards/*/expe"
-          + "riments/*/runs/*/timeSeries/*}:read\332A\027te"
-          + "nsorboard_time_series\022\222\002\n\027ReadTensorboar"
-          + "dBlobData\022:.google.cloud.aiplatform.v1.R"
-          + "eadTensorboardBlobDataRequest\032;.google.c"
-          + "loud.aiplatform.v1.ReadTensorboardBlobDa"
-          + "taResponse\"|\202\323\344\223\002h\022f/v1/{time_series=pro"
-          + "jects/*/locations/*/tensorboards/*/exper"
-          + "iments/*/runs/*/timeSeries/*}:readBlobDa"
-          + "ta\332A\013time_series0\001\022\274\002\n\036WriteTensorboardE"
-          + "xperimentData\022A.google.cloud.aiplatform."
-          + "v1.WriteTensorboardExperimentDataRequest"
-          + "\032B.google.cloud.aiplatform.v1.WriteTenso"
-          + "rboardExperimentDataResponse\"\222\001\202\323\344\223\002[\"V/"
-          + "v1/{tensorboard_experiment=projects/*/lo"
-          + "cations/*/tensorboards/*/experiments/*}:"
-          + "write:\001*\332A.tensorboard_experiment,write_"
-          + "run_data_requests\022\231\002\n\027WriteTensorboardRu"
-          + "nData\022:.google.cloud.aiplatform.v1.Write"
-          + "TensorboardRunDataRequest\032;.google.cloud"
-          + ".aiplatform.v1.WriteTensorboardRunDataRe"
-          + "sponse\"\204\001\202\323\344\223\002[\"V/v1/{tensorboard_run=pr"
-          + "ojects/*/locations/*/tensorboards/*/expe"
-          + "riments/*/runs/*}:write:\001*\332A tensorboard"
-          + "_run,time_series_data\022\325\002\n\037ExportTensorbo"
-          + "ardTimeSeriesData\022B.google.cloud.aiplatf"
-          + "orm.v1.ExportTensorboardTimeSeriesDataRe"
-          + "quest\032C.google.cloud.aiplatform.v1.Expor"
-          + "tTensorboardTimeSeriesDataResponse\"\250\001\202\323\344"
-          + "\223\002\207\001\"\201\001/v1/{tensorboard_time_series=proj"
-          + "ects/*/locations/*/tensorboards/*/experi"
-          + "ments/*/runs/*/timeSeries/*}:exportTenso"
-          + "rboardTimeSeries:\001*\332A\027tensorboard_time_s"
-          + "eries\032\206\001\312A\031aiplatform.googleapis.com\322Agh"
-          + "ttps://www.googleapis.com/auth/cloud-pla"
-          + "tform,https://www.googleapis.com/auth/cl"
-          + "oud-platform.read-onlyB\333\001\n\036com.google.cl"
-          + "oud.aiplatform.v1B\027TensorboardServicePro"
-          + "toP\001ZDgoogle.golang.org/genproto/googlea"
-          + "pis/cloud/aiplatform/v1;aiplatform\252\002\032Goo"
-          + "gle.Cloud.AIPlatform.V1\312\002\032Google\\Cloud\\A"
-          + "IPlatform\\V1\352\002\035Google::Cloud::AIPlatform"
-          + "::V1b\006proto3"
+          + "meSeries/*}:readBlobData\332A\013time_series0\001"
+          + "\022\274\002\n\036WriteTensorboardExperimentData\022A.go"
+          + "ogle.cloud.aiplatform.v1.WriteTensorboar"
+          + "dExperimentDataRequest\032B.google.cloud.ai"
+          + "platform.v1.WriteTensorboardExperimentDa"
+          + "taResponse\"\222\001\202\323\344\223\002[\"V/v1/{tensorboard_ex"
+          + "periment=projects/*/locations/*/tensorbo"
+          + "ards/*/experiments/*}:write:\001*\332A.tensorb"
+          + "oard_experiment,write_run_data_requests\022"
+          + "\231\002\n\027WriteTensorboardRunData\022:.google.clo"
+          + "ud.aiplatform.v1.WriteTensorboardRunData"
+          + "Request\032;.google.cloud.aiplatform.v1.Wri"
+          + "teTensorboardRunDataResponse\"\204\001\202\323\344\223\002[\"V/"
+          + "v1/{tensorboard_run=projects/*/locations"
+          + "/*/tensorboards/*/experiments/*/runs/*}:"
+          + "write:\001*\332A tensorboard_run,time_series_d"
+          + "ata\022\325\002\n\037ExportTensorboardTimeSeriesData\022"
+          + "B.google.cloud.aiplatform.v1.ExportTenso"
+          + "rboardTimeSeriesDataRequest\032C.google.clo"
+          + "ud.aiplatform.v1.ExportTensorboardTimeSe"
+          + "riesDataResponse\"\250\001\202\323\344\223\002\207\001\"\201\001/v1/{tensor"
+          + "board_time_series=projects/*/locations/*"
+          + "/tensorboards/*/experiments/*/runs/*/tim"
+          + "eSeries/*}:exportTensorboardTimeSeries:\001"
+          + "*\332A\027tensorboard_time_series\032\206\001\312A\031aiplatf"
+          + "orm.googleapis.com\322Aghttps://www.googlea"
+          + "pis.com/auth/cloud-platform,https://www."
+          + "googleapis.com/auth/cloud-platform.read-"
+          + "onlyB\333\001\n\036com.google.cloud.aiplatform.v1B"
+          + "\027TensorboardServiceProtoP\001ZDgoogle.golan"
+          + "g.org/genproto/googleapis/cloud/aiplatfo"
+          + "rm/v1;aiplatform\252\002\032Google.Cloud.AIPlatfo"
+          + "rm.V1\312\002\032Google\\Cloud\\AIPlatform\\V1\352\002\035Goo"
+          + "gle::Cloud::AIPlatform::V1b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -606,8 +645,54 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "Name",
             });
-    internal_static_google_cloud_aiplatform_v1_ListTensorboardsRequest_descriptor =
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor =
         getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageRequest_descriptor,
+            new java.lang.String[] {
+              "Tensorboard",
+            });
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor,
+            new java.lang.String[] {
+              "MonthlyUsageData",
+            });
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor,
+            new java.lang.String[] {
+              "Username", "ViewCount",
+            });
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor,
+            new java.lang.String[] {
+              "UserUsageData",
+            });
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListTensorboardsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(4);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardsRequest_descriptor,
@@ -615,7 +700,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(3);
+        getDescriptor().getMessageTypes().get(5);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardsResponse_descriptor,
@@ -623,7 +708,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Tensorboards", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRequest_descriptor =
-        getDescriptor().getMessageTypes().get(4);
+        getDescriptor().getMessageTypes().get(6);
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRequest_descriptor,
@@ -631,7 +716,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "Tensorboard",
             });
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRequest_descriptor =
-        getDescriptor().getMessageTypes().get(5);
+        getDescriptor().getMessageTypes().get(7);
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRequest_descriptor,
@@ -639,7 +724,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(6);
+        getDescriptor().getMessageTypes().get(8);
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_CreateTensorboardExperimentRequest_descriptor,
@@ -647,7 +732,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardExperiment", "TensorboardExperimentId",
             });
     internal_static_google_cloud_aiplatform_v1_GetTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(7);
+        getDescriptor().getMessageTypes().get(9);
     internal_static_google_cloud_aiplatform_v1_GetTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_GetTensorboardExperimentRequest_descriptor,
@@ -655,7 +740,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(8);
+        getDescriptor().getMessageTypes().get(10);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsRequest_descriptor,
@@ -663,7 +748,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(9);
+        getDescriptor().getMessageTypes().get(11);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardExperimentsResponse_descriptor,
@@ -671,7 +756,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardExperiments", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(10);
+        getDescriptor().getMessageTypes().get(12);
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_UpdateTensorboardExperimentRequest_descriptor,
@@ -679,7 +764,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardExperiment",
             });
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(11);
+        getDescriptor().getMessageTypes().get(13);
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_DeleteTensorboardExperimentRequest_descriptor,
@@ -687,7 +772,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(12);
+        getDescriptor().getMessageTypes().get(14);
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsRequest_descriptor,
@@ -695,7 +780,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Requests",
             });
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(13);
+        getDescriptor().getMessageTypes().get(15);
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardRunsResponse_descriptor,
@@ -703,7 +788,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRuns",
             });
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(14);
+        getDescriptor().getMessageTypes().get(16);
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_CreateTensorboardRunRequest_descriptor,
@@ -711,7 +796,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardRun", "TensorboardRunId",
             });
     internal_static_google_cloud_aiplatform_v1_GetTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(15);
+        getDescriptor().getMessageTypes().get(17);
     internal_static_google_cloud_aiplatform_v1_GetTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_GetTensorboardRunRequest_descriptor,
@@ -719,7 +804,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(16);
+        getDescriptor().getMessageTypes().get(18);
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataRequest_descriptor,
@@ -727,7 +812,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeries", "BlobIds",
             });
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(17);
+        getDescriptor().getMessageTypes().get(19);
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ReadTensorboardBlobDataResponse_descriptor,
@@ -735,7 +820,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Blobs",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(18);
+        getDescriptor().getMessageTypes().get(20);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsRequest_descriptor,
@@ -743,7 +828,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(19);
+        getDescriptor().getMessageTypes().get(21);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardRunsResponse_descriptor,
@@ -751,7 +836,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRuns", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(20);
+        getDescriptor().getMessageTypes().get(22);
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_UpdateTensorboardRunRequest_descriptor,
@@ -759,7 +844,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardRun",
             });
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(21);
+        getDescriptor().getMessageTypes().get(23);
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_DeleteTensorboardRunRequest_descriptor,
@@ -767,7 +852,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(22);
+        getDescriptor().getMessageTypes().get(24);
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesRequest_descriptor,
@@ -775,7 +860,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Requests",
             });
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesResponse_descriptor =
-        getDescriptor().getMessageTypes().get(23);
+        getDescriptor().getMessageTypes().get(25);
     internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchCreateTensorboardTimeSeriesResponse_descriptor,
@@ -783,7 +868,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(24);
+        getDescriptor().getMessageTypes().get(26);
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_CreateTensorboardTimeSeriesRequest_descriptor,
@@ -791,7 +876,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardTimeSeriesId", "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1_GetTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(25);
+        getDescriptor().getMessageTypes().get(27);
     internal_static_google_cloud_aiplatform_v1_GetTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_GetTensorboardTimeSeriesRequest_descriptor,
@@ -799,7 +884,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(26);
+        getDescriptor().getMessageTypes().get(28);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesRequest_descriptor,
@@ -807,7 +892,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesResponse_descriptor =
-        getDescriptor().getMessageTypes().get(27);
+        getDescriptor().getMessageTypes().get(29);
     internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ListTensorboardTimeSeriesResponse_descriptor,
@@ -815,7 +900,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(28);
+        getDescriptor().getMessageTypes().get(30);
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_UpdateTensorboardTimeSeriesRequest_descriptor,
@@ -823,7 +908,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(29);
+        getDescriptor().getMessageTypes().get(31);
     internal_static_google_cloud_aiplatform_v1_DeleteTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_DeleteTensorboardTimeSeriesRequest_descriptor,
@@ -831,7 +916,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(30);
+        getDescriptor().getMessageTypes().get(32);
     internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataRequest_descriptor,
@@ -839,7 +924,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Tensorboard", "TimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(31);
+        getDescriptor().getMessageTypes().get(33);
     internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_BatchReadTensorboardTimeSeriesDataResponse_descriptor,
@@ -847,7 +932,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(32);
+        getDescriptor().getMessageTypes().get(34);
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataRequest_descriptor,
@@ -855,7 +940,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "MaxDataPoints", "Filter",
             });
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(33);
+        getDescriptor().getMessageTypes().get(35);
     internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ReadTensorboardTimeSeriesDataResponse_descriptor,
@@ -863,7 +948,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(34);
+        getDescriptor().getMessageTypes().get(36);
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataRequest_descriptor,
@@ -871,13 +956,13 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardExperiment", "WriteRunDataRequests",
             });
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(35);
+        getDescriptor().getMessageTypes().get(37);
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_WriteTensorboardExperimentDataResponse_descriptor,
             new java.lang.String[] {});
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(36);
+        getDescriptor().getMessageTypes().get(38);
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataRequest_descriptor,
@@ -885,13 +970,13 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRun", "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(37);
+        getDescriptor().getMessageTypes().get(39);
     internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_WriteTensorboardRunDataResponse_descriptor,
             new java.lang.String[] {});
     internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(38);
+        getDescriptor().getMessageTypes().get(40);
     internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataRequest_descriptor,
@@ -899,7 +984,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "Filter", "PageSize", "PageToken", "OrderBy",
             });
     internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(39);
+        getDescriptor().getMessageTypes().get(41);
     internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_ExportTensorboardTimeSeriesDataResponse_descriptor,
@@ -907,7 +992,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesDataPoints", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardOperationMetadata_descriptor =
-        getDescriptor().getMessageTypes().get(40);
+        getDescriptor().getMessageTypes().get(42);
     internal_static_google_cloud_aiplatform_v1_CreateTensorboardOperationMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_CreateTensorboardOperationMetadata_descriptor,
@@ -915,7 +1000,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "GenericMetadata",
             });
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardOperationMetadata_descriptor =
-        getDescriptor().getMessageTypes().get(41);
+        getDescriptor().getMessageTypes().get(43);
     internal_static_google_cloud_aiplatform_v1_UpdateTensorboardOperationMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1_UpdateTensorboardOperationMetadata_descriptor,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensor.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensor.java
index 1c474cfd94c5..c7c272d316ae 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensor.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensor.java
@@ -92,7 +92,8 @@ public com.google.protobuf.ByteString getValue() {
    *
    *
    * 
-   * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+   * Optional. Version number of TensorProto used to serialize
+   * [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
    * 

    *
    * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -517,7 +518,8 @@ public Builder clearValue() {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -532,7 +534,8 @@ public int getVersionNumber() {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -550,7 +553,8 @@ public Builder setVersionNumber(int value) {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensorOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensorOrBuilder.java
index 3d15e40069aa..1fe230c9915d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensorOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTensorOrBuilder.java
@@ -41,7 +41,8 @@ public interface TensorboardTensorOrBuilder
    *
    *
    * 
-   * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+   * Optional. Version number of TensorProto used to serialize
+   * [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
    * 

    *
    * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeries.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeries.java
index 9b91b40f4dbe..754cda9a86aa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeries.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeries.java
@@ -269,7 +269,8 @@ public interface MetadataOrBuilder
      *
      *
      * 
-     * Output only. Max step index of all data points within a TensorboardTimeSeries.
+     * Output only. Max step index of all data points within a
+     * TensorboardTimeSeries.
      * 

      *
      * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -326,8 +327,8 @@ public interface MetadataOrBuilder
      *
      *
      * 
-     * Output only. The largest blob sequence length (number of blobs) of all data points in
-     * this time series, if its ValueType is BLOB_SEQUENCE.
+     * Output only. The largest blob sequence length (number of blobs) of all
+     * data points in this time series, if its ValueType is BLOB_SEQUENCE.
      * 

      *
      * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -389,7 +390,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. Max step index of all data points within a TensorboardTimeSeries.
+     * Output only. Max step index of all data points within a
+     * TensorboardTimeSeries.
      * 

      *
      * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -464,8 +466,8 @@ public com.google.protobuf.TimestampOrBuilder getMaxWallTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The largest blob sequence length (number of blobs) of all data points in
-     * this time series, if its ValueType is BLOB_SEQUENCE.
+     * Output only. The largest blob sequence length (number of blobs) of all
+     * data points in this time series, if its ValueType is BLOB_SEQUENCE.
      * 

      *
      * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -874,7 +876,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -889,7 +892,8 @@ public long getMaxStep() {
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -907,7 +911,8 @@ public Builder setMaxStep(long value) {
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1138,8 +1143,8 @@ public com.google.protobuf.TimestampOrBuilder getMaxWallTimeOrBuilder() {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1155,8 +1160,8 @@ public long getMaxBlobSequenceLength() {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1175,8 +1180,8 @@ public Builder setMaxBlobSequenceLength(long value) {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1606,8 +1611,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -1630,8 +1635,8 @@ public java.lang.String getPluginName() {
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -1675,7 +1680,8 @@ public com.google.protobuf.ByteString getPluginData() {
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -1692,7 +1698,8 @@ public boolean hasMetadata() {
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -1711,7 +1718,8 @@ public com.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata getMetadata
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -3240,8 +3248,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3263,8 +3271,8 @@ public java.lang.String getPluginName() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3286,8 +3294,8 @@ public com.google.protobuf.ByteString getPluginNameBytes() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3308,8 +3316,8 @@ public Builder setPluginName(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3326,8 +3334,8 @@ public Builder clearPluginName() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3411,7 +3419,8 @@ public Builder clearPluginData() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3427,7 +3436,8 @@ public boolean hasMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3449,7 +3459,8 @@ public com.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata getMetadata
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3474,7 +3485,8 @@ public Builder setMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3496,7 +3508,8 @@ public Builder setMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3525,7 +3538,8 @@ public Builder mergeMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3547,7 +3561,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3564,7 +3579,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3585,7 +3601,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeriesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeriesOrBuilder.java
index d2bd1b10d9e2..8c6c7127a097 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeriesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TensorboardTimeSeriesOrBuilder.java
@@ -238,8 +238,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -251,8 +251,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -278,7 +278,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -292,7 +293,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -306,7 +308,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesData.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesData.java
index f15ee009034c..2fd53438d0fd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesData.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesData.java
@@ -75,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -99,8 +99,8 @@ public java.lang.String getTensorboardTimeSeriesId() {
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -126,8 +126,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -144,8 +144,8 @@ public int getValueTypeValue() {
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -673,8 +673,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -696,8 +696,8 @@ public java.lang.String getTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -719,8 +719,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -741,8 +741,8 @@ public Builder setTensorboardTimeSeriesId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -759,8 +759,8 @@ public Builder clearTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -784,8 +784,8 @@ public Builder setTensorboardTimeSeriesIdBytes(com.google.protobuf.ByteString va
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -802,8 +802,8 @@ public int getValueTypeValue() {
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -823,8 +823,8 @@ public Builder setValueTypeValue(int value) {
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -846,8 +846,8 @@ public com.google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType getValueTy
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -871,8 +871,8 @@ public Builder setValueType(
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesDataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesDataOrBuilder.java
index 146f5a5dadd3..547bdc070d1b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesDataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimeSeriesDataOrBuilder.java
@@ -27,8 +27,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -40,8 +40,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -54,8 +54,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -69,8 +69,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java
index 9a93f66bc2b4..eb47be625290 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java
@@ -25,8 +25,8 @@
  * The TrainingPipeline orchestrates tasks associated with training a Model. It
  * always executes the training task, and optionally may also
  * export data from Vertex AI's Dataset which becomes the training input,
- * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
- * Model.
+ * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to
+ * Vertex AI, and evaluate the Model.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.TrainingPipeline}
@@ -192,11 +192,14 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -212,11 +215,14 @@ public boolean hasInputDataConfig() {
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -234,11 +240,14 @@ public com.google.cloud.aiplatform.v1.InputDataConfig getInputDataConfig() {
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -254,10 +263,10 @@ public com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfi
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -284,10 +293,10 @@ public java.lang.String getTrainingTaskDefinition() {
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -318,7 +327,8 @@ public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -336,7 +346,8 @@ public boolean hasTrainingTaskInputs() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -356,7 +367,8 @@ public com.google.protobuf.Value getTrainingTaskInputs() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -374,11 +386,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -395,11 +410,14 @@ public boolean hasTrainingTaskMetadata() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -418,11 +436,14 @@ public com.google.protobuf.Value getTrainingTaskMetadata() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -440,20 +461,22 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -468,20 +491,22 @@ public boolean hasModelToUpload() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -498,20 +523,22 @@ public com.google.cloud.aiplatform.v1.Model getModelToUpload() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -582,8 +609,9 @@ public com.google.protobuf.ByteString getModelIdBytes() {
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -606,8 +634,9 @@ public java.lang.String getParentModel() {
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -673,8 +702,8 @@ public com.google.cloud.aiplatform.v1.PipelineState getState() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -689,8 +718,8 @@ public boolean hasError() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -705,8 +734,8 @@ public com.google.rpc.Status getError() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -823,8 +852,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -841,8 +870,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -859,8 +888,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -1044,7 +1073,8 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -1062,7 +1092,8 @@ public boolean hasEncryptionSpec() {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -1082,7 +1113,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -1463,8 +1495,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * The TrainingPipeline orchestrates tasks associated with training a Model. It
    * always executes the training task, and optionally may also
    * export data from Vertex AI's Dataset which becomes the training input,
-   * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
-   * Model.
+   * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to
+   * Vertex AI, and evaluate the Model.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.TrainingPipeline}
@@ -2158,11 +2190,14 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2177,11 +2212,14 @@ public boolean hasInputDataConfig() {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2202,11 +2240,14 @@ public com.google.cloud.aiplatform.v1.InputDataConfig getInputDataConfig() {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2229,11 +2270,14 @@ public Builder setInputDataConfig(com.google.cloud.aiplatform.v1.InputDataConfig
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2254,11 +2298,14 @@ public Builder setInputDataConfig(
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2285,11 +2332,14 @@ public Builder mergeInputDataConfig(com.google.cloud.aiplatform.v1.InputDataConf
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2310,11 +2360,14 @@ public Builder clearInputDataConfig() {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2329,11 +2382,14 @@ public com.google.cloud.aiplatform.v1.InputDataConfig.Builder getInputDataConfig
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2352,11 +2408,14 @@ public com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfi
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -2383,10 +2442,10 @@ public com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfi
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2412,10 +2471,10 @@ public java.lang.String getTrainingTaskDefinition() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2441,10 +2500,10 @@ public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2469,10 +2528,10 @@ public Builder setTrainingTaskDefinition(java.lang.String value) {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2493,10 +2552,10 @@ public Builder clearTrainingTaskDefinition() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2530,7 +2589,8 @@ public Builder setTrainingTaskDefinitionBytes(com.google.protobuf.ByteString val
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2547,7 +2607,8 @@ public boolean hasTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2570,7 +2631,8 @@ public com.google.protobuf.Value getTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2595,7 +2657,8 @@ public Builder setTrainingTaskInputs(com.google.protobuf.Value value) {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2617,7 +2680,8 @@ public Builder setTrainingTaskInputs(com.google.protobuf.Value.Builder builderFo
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2646,7 +2710,8 @@ public Builder mergeTrainingTaskInputs(com.google.protobuf.Value value) {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2669,7 +2734,8 @@ public Builder clearTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2686,7 +2752,8 @@ public com.google.protobuf.Value.Builder getTrainingTaskInputsBuilder() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2707,7 +2774,8 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2741,11 +2809,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2761,11 +2832,14 @@ public boolean hasTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2787,11 +2861,14 @@ public com.google.protobuf.Value getTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2815,11 +2892,14 @@ public Builder setTrainingTaskMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2840,11 +2920,14 @@ public Builder setTrainingTaskMetadata(com.google.protobuf.Value.Builder builder
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2872,11 +2955,14 @@ public Builder mergeTrainingTaskMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2898,11 +2984,14 @@ public Builder clearTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2918,11 +3007,14 @@ public com.google.protobuf.Value.Builder getTrainingTaskMetadataBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2942,11 +3034,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2980,20 +3075,22 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3007,20 +3104,22 @@ public boolean hasModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3040,20 +3139,22 @@ public com.google.cloud.aiplatform.v1.Model getModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3075,20 +3176,22 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1.Model value) {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3107,20 +3210,22 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1.Model.Builder bui
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3146,20 +3251,22 @@ public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1.Model value) {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3179,20 +3286,22 @@ public Builder clearModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3206,20 +3315,22 @@ public com.google.cloud.aiplatform.v1.Model.Builder getModelToUploadBuilder() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3237,20 +3348,22 @@ public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelToUploadOrBuilder()
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-     * is always uploaded into the Project and Location in which this pipeline
-     * is.
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+     * populated. The Model is always uploaded into the Project and Location in
+     * which this pipeline is.
      * 

      *
      * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -3398,8 +3511,9 @@ public Builder setModelIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3421,8 +3535,9 @@ public java.lang.String getParentModel() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3444,8 +3559,9 @@ public com.google.protobuf.ByteString getParentModelBytes() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3466,8 +3582,9 @@ public Builder setParentModel(java.lang.String value) {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3484,8 +3601,9 @@ public Builder clearParentModel() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3613,8 +3731,8 @@ public Builder clearState() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3628,8 +3746,8 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3647,8 +3765,8 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3670,8 +3788,8 @@ public Builder setError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3690,8 +3808,8 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3714,8 +3832,8 @@ public Builder mergeError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3735,8 +3853,8 @@ public Builder clearError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3750,8 +3868,8 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3767,8 +3885,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4204,8 +4322,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4221,8 +4339,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4242,8 +4360,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4267,8 +4385,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4289,8 +4407,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4316,8 +4434,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4339,8 +4457,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4356,8 +4474,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4375,8 +4493,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4800,7 +4918,8 @@ public Builder putAllLabels(java.util.Map va
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4817,7 +4936,8 @@ public boolean hasEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4840,7 +4960,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4865,7 +4986,8 @@ public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec v
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4888,7 +5010,8 @@ public Builder setEncryptionSpec(
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4917,7 +5040,8 @@ public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4940,7 +5064,8 @@ public Builder clearEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4957,7 +5082,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBu
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -4978,7 +5104,8 @@ public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecO
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java
index 48b8e1ddc095..a97e363ce199 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java
@@ -78,11 +78,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -95,11 +98,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -112,11 +118,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;
@@ -127,10 +136,10 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -146,10 +155,10 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -167,7 +176,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -182,7 +192,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -197,7 +208,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -210,11 +222,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -228,11 +243,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -246,11 +264,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -263,20 +284,22 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -288,20 +311,22 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -313,20 +338,22 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-   * is always uploaded into the Project and Location in which this pipeline
-   * is.
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+   * populated. The Model is always uploaded into the Project and Location in
+   * which this pipeline is.
    * 

    *
    * .google.cloud.aiplatform.v1.Model model_to_upload = 7;
@@ -368,8 +395,9 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -381,8 +409,9 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -424,8 +453,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -437,8 +466,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -450,8 +479,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -541,8 +570,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -556,8 +585,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -571,8 +600,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -705,7 +734,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -720,7 +750,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
@@ -735,7 +766,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java
index 20de602e3690..96c8fe87ba07 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java
@@ -326,7 +326,8 @@ public interface ParameterOrBuilder
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -339,7 +340,8 @@ public interface ParameterOrBuilder
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -451,7 +453,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -475,7 +478,8 @@ public java.lang.String getParameterId() {
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -927,7 +931,8 @@ public Builder mergeFrom(
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -950,7 +955,8 @@ public java.lang.String getParameterId() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -973,7 +979,8 @@ public com.google.protobuf.ByteString getParameterIdBytes() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -995,7 +1002,8 @@ public Builder setParameterId(java.lang.String value) {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1013,7 +1021,8 @@ public Builder clearParameterId() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1725,7 +1734,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1741,7 +1751,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1757,7 +1768,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1774,9 +1786,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -1804,9 +1816,9 @@ public java.lang.String getClientId() {
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -1971,9 +1983,11 @@ public int getWebAccessUrisCount() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2005,9 +2019,11 @@ public java.util.Map getWebAccessUris() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2030,9 +2046,11 @@ public java.util.Map getWebAccessUrisMap() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2060,9 +2078,11 @@ public java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -4341,7 +4361,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4356,7 +4377,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4375,7 +4397,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4398,7 +4421,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4418,7 +4442,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4443,7 +4468,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4464,7 +4490,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4479,7 +4506,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4496,7 +4524,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4524,9 +4553,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4553,9 +4582,9 @@ public java.lang.String getClientId() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4582,9 +4611,9 @@ public com.google.protobuf.ByteString getClientIdBytes() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4610,9 +4639,9 @@ public Builder setClientId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4634,9 +4663,9 @@ public Builder clearClientId() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4927,9 +4956,11 @@ public int getWebAccessUrisCount() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -4961,9 +4992,11 @@ public java.util.Map getWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -4986,9 +5019,11 @@ public java.util.Map getWebAccessUrisMap() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5016,9 +5051,11 @@ public java.lang.String getWebAccessUrisOrDefault(
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5053,9 +5090,11 @@ public Builder clearWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5086,9 +5125,11 @@ public java.util.Map getMutableWebAccessUris
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5118,9 +5159,11 @@ public Builder putWebAccessUris(java.lang.String key, java.lang.String value) {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java
index a39ee3612a39..86410c89f505 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java
@@ -319,7 +319,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -332,7 +333,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -345,7 +347,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -357,9 +360,9 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -376,9 +379,9 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -457,9 +460,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -479,9 +484,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -504,9 +511,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -526,9 +535,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -553,9 +564,11 @@ java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexOperationMetadata.java
index 9a945b583b62..b953a9071dce 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+ * Runtime operation information for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexOperationMetadata}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+   * Runtime operation information for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequest.java
index 9d3398e0dddc..b133ea9d3ea7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+ * Request message for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -131,7 +132,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -154,7 +156,8 @@ public java.lang.String getDeployedIndexId() {
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -346,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+   * Request message for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexRequest}
@@ -531,8 +535,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -557,8 +561,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -583,8 +587,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -608,8 +612,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -629,8 +633,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -657,7 +661,8 @@ public Builder setIndexEndpointBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -679,7 +684,8 @@ public java.lang.String getDeployedIndexId() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -701,7 +707,8 @@ public com.google.protobuf.ByteString getDeployedIndexIdBytes() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -722,7 +729,8 @@ public Builder setDeployedIndexId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -739,7 +747,8 @@ public Builder clearDeployedIndexId() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequestOrBuilder.java
index c1d84650e2b3..822fe70e83e9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -60,7 +60,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -72,7 +73,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexResponse.java
index 8d28020711c0..9259ec579759 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+ * Response message for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexResponse}
@@ -219,7 +220,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+   * Response message for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java
index 267b4b50427a..b7fa168f5cd5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * Runtime operation information for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelOperationMetadata}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * Runtime operation information for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java
index d3f1c8f4637c..e08951b38096 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * Request message for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelRequest}
@@ -217,12 +218,12 @@ public int getTrafficSplitCount() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -245,12 +246,12 @@ public java.util.Map getTrafficSplit() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -264,12 +265,12 @@ public java.util.Map getTrafficSplitMap() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -287,12 +288,12 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -498,7 +499,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * Request message for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelRequest}
@@ -981,12 +983,12 @@ public int getTrafficSplitCount() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1009,12 +1011,12 @@ public java.util.Map getTrafficSplit() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1028,12 +1030,12 @@ public java.util.Map getTrafficSplitMap() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1051,12 +1053,12 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1082,12 +1084,12 @@ public Builder clearTrafficSplit() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1109,12 +1111,12 @@ public java.util.Map getMutableTrafficSplit
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1132,12 +1134,12 @@ public Builder putTrafficSplit(java.lang.String key, int value) {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+     * overwritten with it. If last DeployedModel is being undeployed from the
+     * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+     * call returns. A DeployedModel will be successfully undeployed only if it
+     * doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java
index 72faca9b1c1a..8d7bd93c854f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java
@@ -86,12 +86,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -102,12 +102,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -121,12 +121,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -137,12 +137,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -153,12 +153,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+   * overwritten with it. If last DeployedModel is being undeployed from the
+   * Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+   * call returns. A DeployedModel will be successfully undeployed only if it
+   * doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java
index 4a728bdda7ab..36aba6a3d306 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * Response message for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelResponse}
@@ -219,7 +220,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * Response message for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModel.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModel.java
index d4278fe150b0..9d9a68cc8bd8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModel.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModel.java
@@ -173,8 +173,8 @@ public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemat
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -191,8 +191,8 @@ public boolean hasContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -211,8 +211,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -931,8 +931,8 @@ public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemat
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -948,8 +948,8 @@ public boolean hasContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -971,8 +971,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -996,8 +996,8 @@ public Builder setContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerSpe
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1019,8 +1019,8 @@ public Builder setContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1048,8 +1048,8 @@ public Builder mergeContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerS
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1071,8 +1071,8 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1088,8 +1088,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder getContainerSpe
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1109,8 +1109,8 @@ public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSp
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModelOrBuilder.java
index aa8ab08f136b..540ed0f043d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UnmanagedContainerModelOrBuilder.java
@@ -89,8 +89,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -104,8 +104,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -119,8 +119,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequest.java
index 3e7ceb1f3ff2..583cddb628ad 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
+ * Request message for
+ * [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateArtifactRequest}
@@ -72,9 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -93,9 +93,8 @@ public boolean hasArtifact() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -116,9 +115,8 @@ public com.google.cloud.aiplatform.v1.Artifact getArtifact() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -189,7 +187,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+   * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+   * not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
    * created.
    * 

    *
@@ -393,7 +392,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
+   * Request message for
+   * [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateArtifactRequest}
@@ -610,9 +610,8 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -630,9 +629,8 @@ public boolean hasArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -656,9 +654,8 @@ public com.google.cloud.aiplatform.v1.Artifact getArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -684,9 +681,8 @@ public Builder setArtifact(com.google.cloud.aiplatform.v1.Artifact value) {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -709,9 +705,8 @@ public Builder setArtifact(com.google.cloud.aiplatform.v1.Artifact.Builder build
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -741,9 +736,8 @@ public Builder mergeArtifact(com.google.cloud.aiplatform.v1.Artifact value) {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -767,9 +761,8 @@ public Builder clearArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -787,9 +780,8 @@ public com.google.cloud.aiplatform.v1.Artifact.Builder getArtifactBuilder() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -811,9 +803,8 @@ public com.google.cloud.aiplatform.v1.ArtifactOrBuilder getArtifactOrBuilder() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+     * field is used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -1044,7 +1035,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
      * created.
      * 

      *
@@ -1060,7 +1052,8 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
      * created.
      * 

      *
@@ -1079,7 +1072,8 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+     * not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
      * created.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequestOrBuilder.java
index 48d40cd235eb..16db950b77a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateArtifactRequestOrBuilder.java
@@ -28,9 +28,8 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -46,9 +45,8 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -64,9 +62,8 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+   * field is used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -121,7 +118,8 @@ public interface UpdateArtifactRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+   * If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+   * not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
    * created.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequest.java
index b2d300f577ff..eb671d25e0d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
+ * Request message for
+ * [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateContextRequest}
@@ -72,9 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -93,9 +93,8 @@ public boolean hasContext() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -116,9 +115,8 @@ public com.google.cloud.aiplatform.v1.Context getContext() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -189,8 +187,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-   * created.
+   * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+   * not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
    * 

    *
    * bool allow_missing = 3;
@@ -393,7 +391,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
+   * Request message for
+   * [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateContextRequest}
@@ -610,9 +609,8 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -630,9 +628,8 @@ public boolean hasContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -656,9 +653,8 @@ public com.google.cloud.aiplatform.v1.Context getContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -684,9 +680,8 @@ public Builder setContext(com.google.cloud.aiplatform.v1.Context value) {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -709,9 +704,8 @@ public Builder setContext(com.google.cloud.aiplatform.v1.Context.Builder builder
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -741,9 +735,8 @@ public Builder mergeContext(com.google.cloud.aiplatform.v1.Context value) {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -767,9 +760,8 @@ public Builder clearContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -787,9 +779,8 @@ public com.google.cloud.aiplatform.v1.Context.Builder getContextBuilder() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -811,9 +802,8 @@ public com.google.cloud.aiplatform.v1.ContextOrBuilder getContextOrBuilder() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+     * is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -1044,8 +1034,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-     * created.
+     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+     * not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1060,8 +1050,8 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-     * created.
+     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+     * not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1079,8 +1069,8 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-     * created.
+     * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+     * not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
      * 

      *
      * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequestOrBuilder.java
index 13dfb46bdc8b..08886952ca73 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateContextRequestOrBuilder.java
@@ -28,9 +28,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -46,9 +45,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -64,9 +62,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+   * is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -121,8 +118,8 @@ public interface UpdateContextRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-   * created.
+   * If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+   * not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
    * 

    *
    * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java
index 9aee817b7af0..6ace3321d39f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+ * Request message for
+ * [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateDatasetRequest}
@@ -126,8 +127,8 @@ public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -147,8 +148,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -168,8 +169,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -365,7 +366,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+   * Request message for
+   * [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateDatasetRequest}
@@ -773,8 +775,8 @@ public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -793,8 +795,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -819,8 +821,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -847,8 +849,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -872,8 +874,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -902,8 +904,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -928,8 +930,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -948,8 +950,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -972,8 +974,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java
index b6ffafaf9b29..a8b71c5bb5a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java
@@ -69,8 +69,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -87,8 +87,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -105,8 +105,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java
index d822ba185c1d..1d64e5299c8d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+ * Request message for
+ * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEndpointRequest}
@@ -125,7 +126,8 @@ public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -141,7 +143,8 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -157,7 +160,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -350,7 +354,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * Request message for
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEndpointRequest}
@@ -757,7 +762,8 @@ public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -772,7 +778,8 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -793,7 +800,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -816,7 +824,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -836,7 +845,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -861,7 +871,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -882,7 +893,8 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -897,7 +909,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -916,7 +929,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java
index 0799f31b48db..b1eb33b81c9a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java
@@ -68,7 +68,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,7 +82,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,7 +96,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequest.java
index 476cee57f659..f5969f5292e3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
+ * Request message for
+ * [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEntityTypeRequest}
@@ -71,9 +72,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -91,9 +91,8 @@ public boolean hasEntityType() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -113,9 +112,8 @@ public com.google.cloud.aiplatform.v1.EntityType getEntityType() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -151,6 +149,7 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypeOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -182,6 +181,7 @@ public boolean hasUpdateMask() {
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -213,6 +213,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -405,7 +406,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
+   * Request message for
+   * [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEntityTypeRequest}
@@ -609,9 +611,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -628,9 +629,8 @@ public boolean hasEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -653,9 +653,8 @@ public com.google.cloud.aiplatform.v1.EntityType getEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -680,9 +679,8 @@ public Builder setEntityType(com.google.cloud.aiplatform.v1.EntityType value) {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -705,9 +703,8 @@ public Builder setEntityType(
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -736,9 +733,8 @@ public Builder mergeEntityType(com.google.cloud.aiplatform.v1.EntityType value)
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -761,9 +757,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -780,9 +775,8 @@ public com.google.cloud.aiplatform.v1.EntityType.Builder getEntityTypeBuilder()
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -803,9 +797,8 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypeOrBuilder
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -857,6 +850,7 @@ public com.google.cloud.aiplatform.v1.EntityTypeOrBuilder getEntityTypeOrBuilder
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -887,6 +881,7 @@ public boolean hasUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -923,6 +918,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -961,6 +957,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -996,6 +993,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1036,6 +1034,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1072,6 +1071,7 @@ public Builder clearUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1102,6 +1102,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1136,6 +1137,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequestOrBuilder.java
index 968995b5baaf..17edd6af9426 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEntityTypeRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -44,9 +43,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -61,9 +59,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -94,6 +91,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -122,6 +120,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -150,6 +149,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequest.java
index b9b782c896df..18ca80941aee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
+ * Request message for
+ * [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateExecutionRequest}
@@ -72,9 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -93,9 +93,8 @@ public boolean hasExecution() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -116,9 +115,8 @@ public com.google.cloud.aiplatform.v1.Execution getExecution() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -189,8 +187,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-   * is created.
+   * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+   * is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+   * created.
    * 

    *
    * bool allow_missing = 3;
@@ -394,7 +393,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
+   * Request message for
+   * [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateExecutionRequest}
@@ -611,9 +611,8 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -631,9 +630,8 @@ public boolean hasExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -657,9 +655,8 @@ public com.google.cloud.aiplatform.v1.Execution getExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -685,9 +682,8 @@ public Builder setExecution(com.google.cloud.aiplatform.v1.Execution value) {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -710,9 +706,8 @@ public Builder setExecution(com.google.cloud.aiplatform.v1.Execution.Builder bui
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -742,9 +737,8 @@ public Builder mergeExecution(com.google.cloud.aiplatform.v1.Execution value) {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -768,9 +762,8 @@ public Builder clearExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -788,9 +781,8 @@ public com.google.cloud.aiplatform.v1.Execution.Builder getExecutionBuilder() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -812,9 +804,8 @@ public com.google.cloud.aiplatform.v1.ExecutionOrBuilder getExecutionOrBuilder()
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+     * field is used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -1045,8 +1036,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-     * is created.
+     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+     * is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+     * created.
      * 

      *
      * bool allow_missing = 3;
@@ -1061,8 +1053,9 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-     * is created.
+     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+     * is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+     * created.
      * 

      *
      * bool allow_missing = 3;
@@ -1080,8 +1073,9 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-     * is created.
+     * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+     * is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+     * created.
      * 

      *
      * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequestOrBuilder.java
index 02f461ae999e..dd33f97bfaa6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateExecutionRequestOrBuilder.java
@@ -28,9 +28,8 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -46,9 +45,8 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -64,9 +62,8 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+   * field is used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -121,8 +118,9 @@ public interface UpdateExecutionRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-   * is created.
+   * If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+   * is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+   * created.
    * 

    *
    * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeatureRequest.java
index edc7d636deaf..f0e5641ef57e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
+ * Request message for
+ * [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateFeatureRequest}
@@ -386,7 +387,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
+   * Request message for
+   * [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequest.java
index 5a909d3f0e3a..6aa5f27425c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
+ * Request message for
+ * [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateFeaturestoreRequest}
@@ -71,9 +72,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -91,9 +91,8 @@ public boolean hasFeaturestore() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -113,9 +112,8 @@ public com.google.cloud.aiplatform.v1.Featurestore getFeaturestore() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -145,6 +143,7 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoreOrBui
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -170,6 +169,7 @@ public boolean hasUpdateMask() {
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -195,6 +195,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -387,7 +388,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
+   * Request message for
+   * [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateFeaturestoreRequest}
@@ -591,9 +593,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -610,9 +611,8 @@ public boolean hasFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -635,9 +635,8 @@ public com.google.cloud.aiplatform.v1.Featurestore getFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -662,9 +661,8 @@ public Builder setFeaturestore(com.google.cloud.aiplatform.v1.Featurestore value
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -687,9 +685,8 @@ public Builder setFeaturestore(
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -718,9 +715,8 @@ public Builder mergeFeaturestore(com.google.cloud.aiplatform.v1.Featurestore val
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -743,9 +739,8 @@ public Builder clearFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -762,9 +757,8 @@ public com.google.cloud.aiplatform.v1.Featurestore.Builder getFeaturestoreBuilde
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -785,9 +779,8 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoreOrBui
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -833,6 +826,7 @@ public com.google.cloud.aiplatform.v1.FeaturestoreOrBuilder getFeaturestoreOrBui
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -857,6 +851,7 @@ public boolean hasUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -887,6 +882,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -919,6 +915,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -948,6 +945,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -982,6 +980,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1012,6 +1011,7 @@ public Builder clearUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1036,6 +1036,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1064,6 +1065,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequestOrBuilder.java
index f2f3692f9a59..37de94cded85 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateFeaturestoreRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -61,9 +59,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -88,6 +85,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -110,6 +108,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -132,6 +131,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequest.java
index 17f6245bd20f..3cabb68fc14a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexEndpointRequest}
@@ -125,7 +126,8 @@ public com.google.cloud.aiplatform.v1.IndexEndpointOrBuilder getIndexEndpointOrB
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -141,7 +143,8 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -157,7 +160,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -351,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexEndpointRequest}
@@ -759,7 +764,8 @@ public com.google.cloud.aiplatform.v1.IndexEndpointOrBuilder getIndexEndpointOrB
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -774,7 +780,8 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -795,7 +802,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -818,7 +826,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -838,7 +847,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -863,7 +873,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -884,7 +895,8 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -899,7 +911,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -918,7 +931,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequestOrBuilder.java
index ba5c9f204bed..49d4d5524954 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexEndpointRequestOrBuilder.java
@@ -68,7 +68,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,7 +82,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,7 +96,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexOperationMetadata.java
index 3d8b76bca66f..1284c40a4e69 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+ * Runtime operation information for
+ * [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexOperationMetadata}
@@ -358,7 +359,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+   * Runtime operation information for
+   * [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequest.java
index b5005c22a85f..8745b9595116 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+ * Request message for
+ * [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexRequest}
@@ -121,7 +122,8 @@ public com.google.cloud.aiplatform.v1.IndexOrBuilder getIndexOrBuilder() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -137,7 +139,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -153,7 +156,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -345,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+   * Request message for
+   * [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateIndexRequest}
@@ -740,7 +745,8 @@ public com.google.cloud.aiplatform.v1.IndexOrBuilder getIndexOrBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -755,7 +761,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -776,7 +783,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -799,7 +807,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -819,7 +828,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -844,7 +854,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -865,7 +876,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -880,7 +892,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -899,7 +912,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequestOrBuilder.java
index 522277180255..92746c28f46f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateIndexRequestOrBuilder.java
@@ -66,7 +66,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -79,7 +80,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -92,7 +94,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequest.java
index a38358af37a2..c5530e2e7342 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequest.java
@@ -74,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -92,8 +92,8 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -113,8 +113,8 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -133,14 +133,13 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -173,14 +172,13 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -213,14 +211,13 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -652,8 +649,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -669,8 +666,8 @@ public boolean hasModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -693,8 +690,8 @@ public boolean hasModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -719,8 +716,8 @@ public Builder setModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -742,8 +739,8 @@ public Builder setModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -773,8 +770,8 @@ public Builder mergeModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -796,8 +793,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -814,8 +811,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -836,8 +833,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -871,14 +868,13 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -910,14 +906,13 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -955,14 +950,13 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1002,14 +996,13 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1046,14 +1039,13 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1095,14 +1087,13 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1140,14 +1131,13 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1179,14 +1169,13 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1222,14 +1211,13 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
index 63f7856bded4..cf113acee721 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -57,8 +57,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -72,14 +72,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -109,14 +108,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -146,14 +144,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java
index bfcc083126c9..f063261731f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+ * Request message for
+ * [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateModelRequest}
@@ -172,7 +173,8 @@ public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -189,7 +191,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -206,7 +209,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -399,7 +403,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+   * Request message for
+   * [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateModelRequest}
@@ -947,7 +952,8 @@ public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -963,7 +969,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -985,7 +992,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1009,7 +1017,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1030,7 +1039,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1056,7 +1066,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1078,7 +1089,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1094,7 +1106,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1114,7 +1127,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java
index 85d497ffd553..b7430e66558c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java
@@ -117,7 +117,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -131,7 +132,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -145,7 +147,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java
index 9c5c53e1992b..4bdbc4b5456b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java
@@ -76,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -103,8 +103,8 @@ public java.lang.String getSpecialistPool() {
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -554,8 +554,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -580,8 +580,8 @@ public java.lang.String getSpecialistPool() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -606,8 +606,8 @@ public com.google.protobuf.ByteString getSpecialistPoolBytes() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -631,8 +631,8 @@ public Builder setSpecialistPool(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -652,8 +652,8 @@ public Builder clearSpecialistPool() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
index 7bb43d713951..13a647829868 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
@@ -27,8 +27,8 @@ public interface UpdateSpecialistPoolOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -43,8 +43,8 @@ public interface UpdateSpecialistPoolOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java
index 26a66643a8d8..ded2bdb883bc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest}
@@ -351,7 +352,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequest.java
index 3054efa06642..e3f2f126a25f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardExperimentRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -96,8 +97,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -117,8 +118,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -376,7 +377,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardExperimentRequest}
@@ -588,8 +590,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -608,8 +610,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -634,8 +636,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -662,8 +664,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -687,8 +689,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -717,8 +719,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -743,8 +745,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -763,8 +765,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -787,8 +789,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequestOrBuilder.java
index f0b96fb0bf59..ee20cc2f63ed 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardExperimentRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequest.java
index c66b085b104a..73751e20121f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
+ * Request message for
+ * [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -95,8 +96,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -116,8 +117,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -372,7 +373,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
+   * Request message for
+   * [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardRequest}
@@ -579,8 +581,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -599,8 +601,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -625,8 +627,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -653,8 +655,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -678,8 +680,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -708,8 +710,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -734,8 +736,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -754,8 +756,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -778,8 +780,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequestOrBuilder.java
index fb107e92d8da..6ed97c7f0412 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequest.java
index 8d08feabff0d..1f2fa7a88b37 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardRunRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -95,8 +96,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -116,8 +117,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -135,8 +136,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -154,8 +155,8 @@ public boolean hasTensorboardRun() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -175,8 +176,8 @@ public com.google.cloud.aiplatform.v1.TensorboardRun getTensorboardRun() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -372,7 +373,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardRunRequest}
@@ -579,8 +581,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -599,8 +601,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -625,8 +627,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -653,8 +655,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -678,8 +680,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -708,8 +710,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -734,8 +736,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -754,8 +756,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -778,8 +780,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -813,8 +815,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -831,8 +833,8 @@ public boolean hasTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -855,8 +857,8 @@ public com.google.cloud.aiplatform.v1.TensorboardRun getTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -881,8 +883,8 @@ public Builder setTensorboardRun(com.google.cloud.aiplatform.v1.TensorboardRun v
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -905,8 +907,8 @@ public Builder setTensorboardRun(
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -935,8 +937,8 @@ public Builder mergeTensorboardRun(com.google.cloud.aiplatform.v1.TensorboardRun
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -959,8 +961,8 @@ public Builder clearTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -977,8 +979,8 @@ public com.google.cloud.aiplatform.v1.TensorboardRun.Builder getTensorboardRunBu
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -999,8 +1001,8 @@ public com.google.cloud.aiplatform.v1.TensorboardRunOrBuilder getTensorboardRunO
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequestOrBuilder.java
index 09fd27e1a9dd..79d416e13234 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardRunRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -80,8 +80,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -96,8 +96,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -112,8 +112,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequest.java
index 65df8bb89026..b85b493da1ff 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardTimeSeriesRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -96,8 +97,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -117,8 +118,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -379,7 +380,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpdateTensorboardTimeSeriesRequest}
@@ -591,8 +593,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -611,8 +613,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -637,8 +639,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -665,8 +667,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -690,8 +692,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -720,8 +722,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -746,8 +748,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -766,8 +768,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -790,8 +792,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
index 5e69b17cb0e8..f135e00930c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java
index abc5addfed74..60beefe15648 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+ * Details of
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelOperationMetadata}
@@ -283,7 +285,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+   * Details of
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java
index 962664ea0dc7..a5cea607986a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+ * Request message for
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelRequest}
@@ -131,8 +132,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -155,8 +156,8 @@ public java.lang.String getParentModel() {
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -545,7 +546,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+   * Request message for
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelRequest}
@@ -897,8 +899,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -920,8 +922,8 @@ public java.lang.String getParentModel() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -943,8 +945,8 @@ public com.google.protobuf.ByteString getParentModelBytes() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -965,8 +967,8 @@ public Builder setParentModel(java.lang.String value) {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -983,8 +985,8 @@ public Builder clearParentModel() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java
index 11cb3dd79be5..35767ca7e06c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java
@@ -58,8 +58,8 @@ public interface UploadModelRequestOrBuilder
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -71,8 +71,8 @@ public interface UploadModelRequestOrBuilder
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java
index 85d6b4338bd7..2134bbd2279d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+ * Response message of
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelResponse}
@@ -340,7 +342,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+   * Response message of
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsRequest.java
index 58c597ecc2e5..7aea813b685e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+ * Request message for
+ * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpsertDatapointsRequest}
@@ -369,7 +370,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+   * Request message for
+   * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpsertDatapointsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsResponse.java
index aa516e16e89c..80c1b36c363d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpsertDatapointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+ * Response message for
+ * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.UpsertDatapointsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+   * Response message for
+   * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.UpsertDatapointsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayload.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayload.java
index c8ba0bc8fbbe..f665d1095187 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayload.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayload.java
@@ -164,9 +164,9 @@ public int getFeatureValuesCount() {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -192,9 +192,9 @@ public boolean containsFeatureValues(java.lang.String key) {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -211,9 +211,9 @@ public boolean containsFeatureValues(java.lang.String key) {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -235,9 +235,9 @@ public com.google.cloud.aiplatform.v1.FeatureValue getFeatureValuesOrDefault(
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -789,9 +789,9 @@ public int getFeatureValuesCount() {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -817,9 +817,9 @@ public boolean containsFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -836,9 +836,9 @@ public boolean containsFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -860,9 +860,9 @@ public com.google.cloud.aiplatform.v1.FeatureValue getFeatureValuesOrDefault(
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -892,9 +892,9 @@ public Builder clearFeatureValues() {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -919,9 +919,9 @@ public Builder removeFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -945,9 +945,9 @@ public Builder putFeatureValues(
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayloadOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayloadOrBuilder.java
index 36d7151926b6..a7f24e90c81e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayloadOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesPayloadOrBuilder.java
@@ -52,9 +52,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -67,9 +67,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -85,9 +85,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -101,9 +101,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -121,9 +121,9 @@ com.google.cloud.aiplatform.v1.FeatureValue getFeatureValuesOrDefault(
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequest.java
index 5e580ee1511e..30a273de6afb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+ * Request message for
+ * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteFeatureValuesRequest}
@@ -74,8 +75,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -103,8 +105,9 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -135,8 +138,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -152,8 +155,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -169,8 +172,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -185,8 +188,8 @@ public int getPayloadsCount() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -201,8 +204,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload getPayloads(int
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -390,7 +393,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+   * Request message for
+   * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteFeatureValuesRequest}
@@ -622,8 +626,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -650,8 +655,9 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -678,8 +684,9 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -705,8 +712,9 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -728,8 +736,9 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -775,8 +784,8 @@ private void ensurePayloadsIsMutable() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -795,8 +804,8 @@ private void ensurePayloadsIsMutable() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -814,8 +823,8 @@ public int getPayloadsCount() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -833,8 +842,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload getPayloads(int
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -859,8 +868,8 @@ public Builder setPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -883,8 +892,8 @@ public Builder setPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -908,8 +917,8 @@ public Builder addPayloads(com.google.cloud.aiplatform.v1.WriteFeatureValuesPayl
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -934,8 +943,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -957,8 +966,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -981,8 +990,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1005,8 +1014,8 @@ public Builder addAllPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1027,8 +1036,8 @@ public Builder clearPayloads() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1049,8 +1058,8 @@ public Builder removePayloads(int index) {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1065,8 +1074,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload.Builder getPaylo
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1085,8 +1094,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayloadOrBuilder getPayl
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1106,8 +1115,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayloadOrBuilder getPayl
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1123,8 +1132,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload.Builder addPaylo
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1141,8 +1150,8 @@ public com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload.Builder addPaylo
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequestOrBuilder.java
index baa42adb2800..cf58b00e92e3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -45,8 +46,9 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -64,8 +66,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -77,8 +79,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -90,8 +92,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -103,8 +105,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -117,8 +119,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesResponse.java
index 3c582edca82f..79d7a04bc2b7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+ * Response message for
+ * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteFeatureValuesResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+   * Response message for
+   * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataRequest.java
index 379671991cc7..fa7bde8eb815 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+ * Request message for
+ * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardExperimentDataRequest}
@@ -388,7 +389,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+   * Request message for
+   * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardExperimentDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataResponse.java
index e28d2b002789..cdb76dc5860e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardExperimentDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+ * Response message for
+ * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardExperimentDataResponse}
@@ -223,7 +224,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+   * Response message for
+   * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardExperimentDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataRequest.java
index ff72fcb732c2..572a8216c87c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+ * Request message for
+ * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardRunDataRequest}
@@ -401,7 +402,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+   * Request message for
+   * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardRunDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataResponse.java
index e2d807798309..30254dd79071 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WriteTensorboardRunDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+ * Response message for
+ * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardRunDataResponse}
@@ -221,7 +222,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+   * Response message for
+   * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1.WriteTensorboardRunDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
index 3a1048090bee..c490f955b80e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
@@ -41,8 +41,9 @@ message Annotation {
   // Output only. Resource name of the Annotation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
-  // schema is defined as an [OpenAPI 3.0.2 Schema
+  // Required. Google Cloud Storage URI points to a YAML file describing
+  // [payload][google.cloud.aiplatform.v1.Annotation.payload]. The schema is
+  // defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -55,19 +56,23 @@ message Annotation {
   google.protobuf.Value payload = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Annotation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Annotation was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The source of the Annotation.
-  UserActionReference annotation_source = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  UserActionReference annotation_source = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your Annotations.
+  // Optional. The labels with user-defined metadata to organize your
+  // Annotations.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -84,7 +89,8 @@ message Annotation {
   //   If not set, the Annotation is not visible in the UI.
   //
   // * "aiplatform.googleapis.com/payload_schema":
-  //   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+  //   output only, its value is the
+  //   [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
   //   title.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
index 582eb109b8c3..e4bffcccd3bf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
@@ -44,12 +44,14 @@ message AnnotationSpec {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this AnnotationSpec was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when AnnotationSpec was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/artifact.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/artifact.proto
index be52fcc63d00..2dbe5f5dd932 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/artifact.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/artifact.proto
@@ -75,10 +75,12 @@ message Artifact {
   map labels = 10;
 
   // Output only. Timestamp when this Artifact was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Artifact was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The state of this Artifact. This is a property of the Artifact, and does
   // not imply or capture any ongoing process. This property is managed by
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
index 4673b09fd5cf..5ab6fe987469 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
@@ -38,8 +38,10 @@ option java_package = "com.google.cloud.aiplatform.v1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
 option ruby_package = "Google::Cloud::AIPlatform::V1";
 
-// A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
-// on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+// A job that uses a
+// [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
+// predictions on multiple [input
+// instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
 // predictions for significant portion of the instances fail, the job may finish
 // without attempting predictions for all remaining instances.
 message BatchPredictionJob {
@@ -48,9 +50,11 @@ message BatchPredictionJob {
     pattern: "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}"
   };
 
-  // Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-  // See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
-  // formats, and how instances should be expressed via any of them.
+  // Configures the input to
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+  // [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+  // for Model's supported input formats, and how instances should be expressed
+  // via any of them.
   message InputConfig {
     // Required. The source of the input.
     oneof source {
@@ -71,9 +75,109 @@ message BatchPredictionJob {
     string instances_format = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
-  // Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
-  // See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
-  // formats, and how predictions are expressed via any of them.
+  // Configuration defining how to transform batch prediction input instances to
+  // the instances that the Model accepts.
+  message InstanceConfig {
+    // The format of the instance that the Model accepts. Vertex AI will
+    // convert compatible
+    // [batch prediction input instance
+    // formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
+    // to the specified format.
+    //
+    // Supported values are:
+    //
+    // * `object`: Each input is converted to JSON object format.
+    //     * For `bigquery`, each row is converted to an object.
+    //     * For `jsonl`, each line of the JSONL input must be an object.
+    //     * Does not apply to `csv`, `file-list`, `tf-record`, or
+    //       `tf-record-gzip`.
+    //
+    // * `array`: Each input is converted to JSON array format.
+    //     * For `bigquery`, each row is converted to an array. The order
+    //       of columns is determined by the BigQuery column order, unless
+    //       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       is populated.
+    //       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       must be populated for specifying field orders.
+    //     * For `jsonl`, if each line of the JSONL input is an object,
+    //       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       must be populated for specifying field orders.
+    //     * Does not apply to `csv`, `file-list`, `tf-record`, or
+    //       `tf-record-gzip`.
+    //
+    // If not specified, Vertex AI converts the batch prediction input as
+    // follows:
+    //
+    //  * For `bigquery` and `csv`, the behavior is the same as `array`. The
+    //    order of columns is the same as defined in the file or table, unless
+    //    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+    //    is populated.
+    //  * For `jsonl`, the prediction instance format is determined by
+    //    each line of the input.
+    //  * For `tf-record`/`tf-record-gzip`, each record will be converted to
+    //    an object in the format of `{"b64": }`, where `` is
+    //    the Base64-encoded string of the content of the record.
+    //  * For `file-list`, each file in the list will be converted to an
+    //    object in the format of `{"b64": }`, where `` is
+    //    the Base64-encoded string of the content of the file.
+    string instance_type = 1;
+
+    // The name of the field that is considered as a key.
+    //
+    // The values identified by the key field is not included in the transformed
+    // instances that is sent to the Model. This is similar to
+    // specifying this name of the field in
+    // [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields].
+    // In addition, the batch prediction output will not include the instances.
+    // Instead the output will only include the value of the key field, in a
+    // field named `key` in the output:
+    //
+    //  * For `jsonl` output format, the output will have a `key` field
+    //    instead of the `instance` field.
+    //  * For `csv`/`bigquery` output format, the output will have have a `key`
+    //    column instead of the instance feature columns.
+    //
+    // The input must be JSONL with objects at each line, CSV, BigQuery
+    // or TfRecord.
+    string key_field = 2;
+
+    // Fields that will be included in the prediction instance that is
+    // sent to the Model.
+    //
+    // If
+    // [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.instance_type]
+    // is `array`, the order of field names in included_fields also determines
+    // the order of the values in the array.
+    //
+    // When included_fields is populated,
+    // [excluded_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
+    // must be empty.
+    //
+    // The input must be JSONL with objects at each line, CSV, BigQuery
+    // or TfRecord.
+    repeated string included_fields = 3;
+
+    // Fields that will be excluded in the prediction instance that is
+    // sent to the Model.
+    //
+    // Excluded will be attached to the batch prediction output if
+    // [key_field][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
+    // is not specified.
+    //
+    // When excluded_fields is populated,
+    // [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
+    // must be empty.
+    //
+    // The input must be JSONL with objects at each line, CSV, BigQuery
+    // or TfRecord.
+    repeated string excluded_fields = 4;
+  }
+
+  // Configures the output of
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
+  // [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats]
+  // for supported output formats, and how predictions are expressed via any of
+  // them.
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
@@ -84,11 +188,13 @@ message BatchPredictionJob {
       // Inside of it files `predictions_0001.`,
       // `predictions_0002.`, ..., `predictions_N.`
       // are created where `` depends on chosen
-      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-      // number of successfully predicted instances.
-      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then each such file contains predictions as per the
+      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
+      // and N may equal 0001 and depends on the total number of successfully
+      // predicted instances. If the Model has both
+      // [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then each such file contains predictions as per the
       // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
       // If prediction for any instance failed (partially or completely), then
       // an additional `errors_0001.`, `errors_0002.`,...,
@@ -107,45 +213,51 @@ message BatchPredictionJob {
       // become underscores), and timestamp is in
       // YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
       // two tables will be created, `predictions`, and `errors`.
-      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then the tables have columns as follows: The `predictions`
-      // table contains instances for which the prediction succeeded, it
-      // has columns as per a concatenation of the Model's instance and
-      // prediction schemata. The `errors` table contains rows for which the
-      // prediction has failed, it has instance columns, as per the
+      // If the Model has both
+      // [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then the tables have columns as follows: The
+      // `predictions` table contains instances for which the prediction
+      // succeeded, it has columns as per a concatenation of the Model's
+      // instance and prediction schemata. The `errors` table contains rows for
+      // which the prediction has failed, it has instance columns, as per the
       // instance schema, followed by a single "errors" column, which as values
       // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
 
-    // Required. The format in which Vertex AI gives the predictions, must be one of the
-    // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+    // Required. The format in which Vertex AI gives the predictions, must be
+    // one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
     // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
     string predictions_format = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Further describes this job's output.
-  // Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  // Supplements
+  // [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Cloud Storage directory created, into which
-      // the prediction output is written.
-      string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+      // Output only. The full path of the Cloud Storage directory created, into
+      // which the prediction output is written.
+      string gcs_output_directory = 1
+          [(google.api.field_behavior) = OUTPUT_ONLY];
 
       // Output only. The path of the BigQuery dataset created, in
       // `bq://projectId.bqDatasetId`
       // format, into which the prediction output is written.
-      string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+      string bigquery_output_dataset = 2
+          [(google.api.field_behavior) = OUTPUT_ONLY];
     }
 
     // Output only. The name of the BigQuery table created, in
     // `predictions_`
     // format, into which the prediction output is written.
     // Can be used by UI to generate the BigQuery output path, for example.
-    string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    string bigquery_output_table = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Output only. Resource name of the BatchPredictionJob.
@@ -163,10 +275,11 @@ message BatchPredictionJob {
   // The model resource name may contain version id or version alias to specify
   // the version, if no version is specified, the default version will be used.
   string model = 3 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
-  // Output only. The version ID of the Model that produces the predictions via this job.
+  // Output only. The version ID of the Model that produces the predictions via
+  // this job.
   string model_version_id = 30 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Contains model information necessary to perform batch prediction without
@@ -174,15 +287,20 @@ message BatchPredictionJob {
   // Exactly one of model and unmanaged_container_model must be set.
   UnmanagedContainerModel unmanaged_container_model = 28;
 
-  // Required. Input configuration of the instances on which predictions are performed.
-  // The schema of any single instance may be specified via
-  // the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // Required. Input configuration of the instances on which predictions are
+  // performed. The schema of any single instance may be specified via the
+  // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
   InputConfig input_config = 4 [(google.api.field_behavior) = REQUIRED];
 
+  // Configuration for how to convert batch prediction input instances to the
+  // prediction instances that are sent to the Model.
+  InstanceConfig instance_config = 27;
+
   // The parameters that govern the predictions. The schema of the parameters
-  // may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // may be specified via the
+  // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value model_parameters = 5;
@@ -198,7 +316,8 @@ message BatchPredictionJob {
   OutputConfig output_config = 6 [(google.api.field_behavior) = REQUIRED];
 
   // The config of resources used by the Model during the batch prediction. If
-  // the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+  // the Model
+  // [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
   // DEDICATED_RESOURCES this config may be provided (and the job will use these
   // resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
   // must be provided.
@@ -213,35 +332,50 @@ message BatchPredictionJob {
   // permission on this service account.
   string service_account = 29;
 
-  // Immutable. Parameters configuring the batch behavior. Currently only applicable when
-  // [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-  // the tuning itself).
-  ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. Parameters configuring the batch behavior. Currently only
+  // applicable when
+  // [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
+  // are used (in other cases Vertex AI does the tuning itself).
+  ManualBatchTuningParameters manual_batch_tuning_parameters = 8
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // Generate explanation with the batch prediction results.
   //
   // When set to `true`, the batch prediction output changes based on the
   // `predictions_format` field of the
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config] object:
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
+  // object:
   //
   //  * `bigquery`: output includes a column named `explanation`. The value
-  //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+  //    is a struct that conforms to the
+  //    [Explanation][google.cloud.aiplatform.v1.Explanation] object.
   //  * `jsonl`: The JSON objects on each line include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
-  //    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation] object.
+  //    conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
+  //    object.
   //  * `csv`: Generating explanations for CSV format is not supported.
   //
-  // If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] or
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] must be populated.
+  // If this field is set to true, either the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // must be populated.
   bool generate_explanation = 23;
 
   // Explanation configuration for this BatchPredictionJob. Can be
-  // specified only if [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation] is set to `true`.
+  // specified only if
+  // [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+  // is set to `true`.
   //
-  // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-  // the [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] object is inherited.
+  // This value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // are optional in the request. If a field of the
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // object is not populated, the corresponding field of the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // object is inherited.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -258,32 +392,39 @@ message BatchPredictionJob {
   // For example, single files that can't be read.
   // This field never exceeds 20 entries.
   // Status details fields contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Information about resources that had been consumed by this job.
-  // Provided in real time at best effort basis, as well as a final value
+  // Output only. Information about resources that had been consumed by this
+  // job. Provided in real time at best effort basis, as well as a final value
   // once the job completes.
   //
   // Note: This field currently may be not populated for batch predictions that
   // use AutoML Models.
-  ResourcesConsumed resources_consumed = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  ResourcesConsumed resources_consumed = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Statistics on completed and failed prediction instances.
-  CompletionStats completion_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  CompletionStats completion_stats = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was created.
-  google.protobuf.Timestamp create_time = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob for the first time entered
+  // the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob entered any of the following
+  // states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 17
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was most recently updated.
-  google.protobuf.Timestamp update_time = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 18
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize BatchPredictionJobs.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
index a1d7b3238b7d..a098e914e28f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
@@ -35,14 +35,16 @@ message CompletionStats {
   // Output only. The number of entities for which any error was encountered.
   int64 failed_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. In cases when enough errors are encountered a job, pipeline, or operation
-  // may be failed as a whole. Below is the number of entities for which the
-  // processing had not been finished (either in successful or failed state).
-  // Set to -1 if the number is unknown (for example, the operation failed
-  // before the total entity number could be collected).
+  // Output only. In cases when enough errors are encountered a job, pipeline,
+  // or operation may be failed as a whole. Below is the number of entities for
+  // which the processing had not been finished (either in successful or failed
+  // state). Set to -1 if the number is unknown (for example, the operation
+  // failed before the total entity number could be collected).
   int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of the successful forecast points that are generated by the
-  // forecasting model. This is ONLY used by the forecasting batch prediction.
-  int64 successful_forecast_point_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The number of the successful forecast points that are
+  // generated by the forecasting model. This is ONLY used by the forecasting
+  // batch prediction.
+  int64 successful_forecast_point_count = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/context.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/context.proto
index 1055ea93d5a8..fcf423e5540b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/context.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/context.proto
@@ -57,13 +57,15 @@ message Context {
   map labels = 9;
 
   // Output only. Timestamp when this Context was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Context was last updated.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of resource names of Contexts that are parents of this Context.
-  // A Context may have at most 10 parent_contexts.
+  // Output only. A list of resource names of Contexts that are parents of this
+  // Context. A Context may have at most 10 parent_contexts.
   repeated string parent_contexts = 12 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
index 31ed742fc37c..4dea46f0e10f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
@@ -60,18 +60,22 @@ message CustomJob {
   JobState state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob for the first time entered the
   // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob entered any of the following states:
   // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was most recently updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is `JOB_STATE_FAILED` or
   // `JOB_STATE_CANCELLED`.
@@ -94,7 +98,8 @@ message CustomJob {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if
-  // [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] is `true`.
+  // [job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+  // is `true`.
   //
   // The keys are names of each node in the training job; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -102,15 +107,17 @@ message CustomJob {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map web_access_uris = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents the spec of a CustomJob.
 message CustomJobSpec {
-  // Required. The spec of the worker pools including machine type and Docker image.
-  // All worker pools except the first one are optional and can be skipped by
-  // providing an empty value.
-  repeated WorkerPoolSpec worker_pool_specs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The spec of the worker pools including machine type and Docker
+  // image. All worker pools except the first one are optional and can be
+  // skipped by providing an empty value.
+  repeated WorkerPoolSpec worker_pool_specs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Scheduling options for a CustomJob.
   Scheduling scheduling = 3;
@@ -137,9 +144,7 @@ message CustomJobSpec {
   // If this field is left unspecified, the job is not peered with any network.
   string network = 5 [
     (google.api.field_behavior) = OPTIONAL,
-    (google.api.resource_reference) = {
-      type: "compute.googleapis.com/Network"
-    }
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
   ];
 
   // Optional. A list of names for the reserved ip ranges under the VPC network
@@ -150,14 +155,15 @@ message CustomJobSpec {
   // network.
   //
   // Example: ['vertex-ai-ip-range'].
-  repeated string reserved_ip_ranges = 13 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 13
+      [(google.api.field_behavior) = OPTIONAL];
 
   // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
   // the baseOutputDirectory of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
-  // baseOutputDirectory.
+  // [id][google.cloud.aiplatform.v1.Trial.id] under its parent
+  // HyperparameterTuningJob's baseOutputDirectory.
   //
   // The following Vertex AI environment variables will be passed to
   // containers or python modules when this field is set:
@@ -175,9 +181,9 @@ message CustomJobSpec {
   //   * AIP_TENSORBOARD_LOG_DIR = `//logs/`
   GcsDestination base_output_directory = 6;
 
-  // Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which this CustomJob
-  // will upload Tensorboard logs.
-  // Format:
+  // Optional. The name of a Vertex AI
+  // [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
+  // this CustomJob will upload Tensorboard logs. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string tensorboard = 7 [
     (google.api.field_behavior) = OPTIONAL,
@@ -191,7 +197,11 @@ message CustomJobSpec {
   // to training containers.
   //
   // If set to `true`, you can access interactive shells at the URIs given
-  // by [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris] (within
+  // by
+  // [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
+  // or
+  // [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
+  // (within
   // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
   bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
 }
@@ -225,8 +235,8 @@ message WorkerPoolSpec {
 
 // The spec of a Container.
 message ContainerSpec {
-  // Required. The URI of a container image in the Container Registry that is to be run on
-  // each worker replica.
+  // Required. The URI of a container image in the Container Registry that is to
+  // be run on each worker replica.
   string image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The command to be invoked when the container is started.
@@ -243,17 +253,17 @@ message ContainerSpec {
 
 // The spec of a Python packaged code.
 message PythonPackageSpec {
-  // Required. The URI of a container image in Artifact Registry that will run the
-  // provided Python package. Vertex AI provides a wide range of executor
+  // Required. The URI of a container image in Artifact Registry that will run
+  // the provided Python package. Vertex AI provides a wide range of executor
   // images with pre-installed packages to meet users' various use cases. See
   // the list of [pre-built containers for
   // training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
   // You must use an image from this list.
   string executor_image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the Python package files which are
-  // the training program and its dependent packages.
-  // The maximum number of package URIs is 100.
+  // Required. The Google Cloud Storage location of the Python package files
+  // which are the training program and its dependent packages. The maximum
+  // number of package URIs is 100.
   repeated string package_uris = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Python module name to run after installing the packages.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
index 10431e743964..ef2117c64451 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
@@ -41,10 +41,12 @@ message DataItem {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your DataItems.
   //
@@ -59,12 +61,13 @@ message DataItem {
   // and are immutable.
   map labels = 3 [(google.api.field_behavior) = OPTIONAL];
 
-  // Required. The data that the DataItem represents (for example, an image or a text
-  // snippet). The schema of the payload is stored in the parent Dataset's
-  // [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+  // Required. The data that the DataItem represents (for example, an image or a
+  // text snippet). The schema of the payload is stored in the parent Dataset's
+  // [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+  // dataItemSchemaUri field.
   google.protobuf.Value payload = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
index 45d176e9bd09..58c328fb13a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
@@ -50,9 +50,8 @@ message DataLabelingJob {
   // Display name of a DataLabelingJob.
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Dataset resource names. Right now we only support labeling from a single
-  // Dataset.
-  // Format:
+  // Required. Dataset resource names. Right now we only support labeling from a
+  // single Dataset. Format:
   // `projects/{project}/locations/{location}/datasets/{dataset}`
   repeated string datasets = 3 [
     (google.api.field_behavior) = REQUIRED,
@@ -74,14 +73,14 @@ message DataLabelingJob {
   // Required. Number of labelers to work on each DataItem.
   int32 labeler_count = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-  // shared with labelers, and provides detailed description on how to label
-  // DataItems in Datasets.
+  // Required. The Google Cloud Storage location of the instruction pdf. This
+  // pdf is shared with labelers, and provides detailed description on how to
+  // label DataItems in Datasets.
   string instruction_uri = 5 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the
-  // config for a specific type of DataLabelingJob.
-  // The schema files that can be used here are found in the
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the config for a specific type of DataLabelingJob. The schema files that
+  // can be used here are found in the
   // https://storage.googleapis.com/google-cloud-aiplatform bucket in the
   // /schema/datalabelingjob/inputs/ folder.
   string inputs_schema_uri = 6 [(google.api.field_behavior) = REQUIRED];
@@ -92,22 +91,25 @@ message DataLabelingJob {
   // Output only. The detailed state of the job.
   JobState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Current labeling job progress percentage scaled in interval [0, 100],
-  // indicating the percentage of DataItems that has been finished.
+  // Output only. Current labeling job progress percentage scaled in interval
+  // [0, 100], indicating the percentage of DataItems that has been finished.
   int32 labeling_progress = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-  // date.
-  google.type.Money current_spend = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+  // incurred to date.
+  google.type.Money current_spend = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was created.
-  google.protobuf.Timestamp create_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was updated most recently.
-  google.protobuf.Timestamp update_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. DataLabelingJob errors. It is only populated when job's state is
-  // `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+  // Output only. DataLabelingJob errors. It is only populated when job's state
+  // is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
   google.rpc.Status error = 22 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your DataLabelingJobs.
@@ -121,7 +123,8 @@ message DataLabelingJob {
   // and are immutable. Following system labels exist for each DataLabelingJob:
   //
   // * "aiplatform.googleapis.com/schema": output only, its value is the
-  //   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+  //   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s
+  //   title.
   map labels = 11;
 
   // The SpecialistPools' resource names associated with this job.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
index ae14e7bf67c6..25fbbc313413 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
@@ -20,6 +20,7 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/saved_query.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -49,21 +50,22 @@ message Dataset {
   // The description of the Dataset.
   string description = 16;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Dataset.
-  // The schema is defined as an OpenAPI 3.0.2 Schema Object.
-  // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Dataset. The schema is defined as an
+  // OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+  // found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   string metadata_schema_uri = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Required. Additional information about the Dataset.
   google.protobuf.Value metadata = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Dataset was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Dataset was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -82,15 +84,27 @@ message Dataset {
   // and are immutable. Following system labels exist for each Dataset:
   //
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-  //   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+  //   value is the
+  //   [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri]
+  //   title.
   map labels = 7;
 
+  // All SavedQueries belong to the Dataset will be returned in List/Get
+  // Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+  // will not be populated except for UI cases which will only use
+  // [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
+  // In CreateDataset request, a SavedQuery is created together if
+  // this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+  // The SavedQuery should not contain any AnnotationSpec.
+  repeated SavedQuery saved_queries = 9;
+
   // Customer-managed encryption key spec for a Dataset. If set, this Dataset
   // and all sub-resources of this Dataset will be secured by this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Dataset. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Dataset. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
@@ -114,21 +128,26 @@ message ImportDataConfig {
   // considered identical if their content bytes are identical (e.g. image bytes
   // or pdf bytes).
   // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map data_item_labels = 2;
 
   // Labels that will be applied to newly imported Annotations. If two
   // Annotations are identical, one of them will be deduped. Two Annotations are
-  // considered identical if their [payload][google.cloud.aiplatform.v1.Annotation.payload],
-  // [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri] and all of their
-  // [labels][google.cloud.aiplatform.v1.Annotation.labels] are the same.
-  // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // considered identical if their
+  // [payload][google.cloud.aiplatform.v1.Annotation.payload],
+  // [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+  // and all of their [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+  // the same. These labels will be overridden by Annotation labels specified
+  // inside index file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map annotation_labels = 3;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the import
-  // format. Validation will be done against the schema. The schema is defined
-  // as an [OpenAPI 3.0.2 Schema
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the import format. Validation will be done against the schema. The schema
+  // is defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string import_schema_uri = 4 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
index 4a59848d9248..f6e7ba9238c2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // resources.
 service DatasetService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Dataset.
-  rpc CreateDataset(CreateDatasetRequest) returns (google.longrunning.Operation) {
+  rpc CreateDataset(CreateDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/datasets"
       body: "dataset"
@@ -82,7 +84,8 @@ service DatasetService {
   }
 
   // Deletes a Dataset.
-  rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataset(DeleteDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/datasets/*}"
     };
@@ -128,14 +131,16 @@ service DatasetService {
   }
 
   // Searches DataItems in a Dataset.
-  rpc SearchDataItems(SearchDataItemsRequest) returns (SearchDataItemsResponse) {
+  rpc SearchDataItems(SearchDataItemsRequest)
+      returns (SearchDataItemsResponse) {
     option (google.api.http) = {
       get: "/v1/{dataset=projects/*/locations/*/datasets/*}:searchDataItems"
     };
   }
 
   // Lists SavedQueries in a Dataset.
-  rpc ListSavedQueries(ListSavedQueriesRequest) returns (ListSavedQueriesResponse) {
+  rpc ListSavedQueries(ListSavedQueriesRequest)
+      returns (ListSavedQueriesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
     };
@@ -151,7 +156,8 @@ service DatasetService {
   }
 
   // Lists Annotations belongs to a dataitem
-  rpc ListAnnotations(ListAnnotationsRequest) returns (ListAnnotationsResponse) {
+  rpc ListAnnotations(ListAnnotationsRequest)
+      returns (ListAnnotationsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/datasets/*/dataItems/*}/annotations"
     };
@@ -159,7 +165,8 @@ service DatasetService {
   }
 }
 
-// Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+// Request message for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
 message CreateDatasetRequest {
   // Required. The resource name of the Location to create the Dataset in.
   // Format: `projects/{project}/locations/{location}`
@@ -174,13 +181,15 @@ message CreateDatasetRequest {
   Dataset dataset = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+// Runtime operation information for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
 message CreateDatasetOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+// Request message for
+// [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
 message GetDatasetRequest {
   // Required. The name of the Dataset resource.
   string name = 1 [
@@ -194,22 +203,25 @@ message GetDatasetRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+// Request message for
+// [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
 message UpdateDatasetRequest {
   // Required. The Dataset which replaces the resource on the server.
   Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  // Updatable fields:
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
   //
   //   * `display_name`
   //   * `description`
   //   * `labels`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+// Request message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
 message ListDatasetsRequest {
   // Required. The name of the Dataset's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -255,7 +267,8 @@ message ListDatasetsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+// Response message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
 message ListDatasetsResponse {
   // A list of Datasets that matches the specified filter in the request.
   repeated Dataset datasets = 1;
@@ -264,7 +277,8 @@ message ListDatasetsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+// Request message for
+// [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
 message DeleteDatasetRequest {
   // Required. The resource name of the Dataset to delete.
   // Format:
@@ -277,7 +291,8 @@ message DeleteDatasetRequest {
   ];
 }
 
-// Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+// Request message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
 message ImportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -289,23 +304,25 @@ message ImportDataRequest {
     }
   ];
 
-  // Required. The desired input locations. The contents of all input locations will be
-  // imported in one batch.
-  repeated ImportDataConfig import_configs = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The desired input locations. The contents of all input locations
+  // will be imported in one batch.
+  repeated ImportDataConfig import_configs = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
-message ImportDataResponse {
+// Response message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+message ImportDataResponse {}
 
-}
-
-// Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+// Runtime operation information for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
 message ImportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Request message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -321,13 +338,15 @@ message ExportDataRequest {
   ExportDataConfig export_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Response message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataResponse {
   // All of the files that are exported in this export operation.
   repeated string exported_files = 1;
 }
 
-// Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+// Runtime operation information for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
 message ExportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
@@ -337,7 +356,8 @@ message ExportDataOperationMetadata {
   string gcs_output_directory = 2;
 }
 
-// Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+// Request message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
 message ListDataItemsRequest {
   // Required. The resource name of the Dataset to list DataItems from.
   // Format:
@@ -366,7 +386,8 @@ message ListDataItemsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+// Response message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
 message ListDataItemsResponse {
   // A list of DataItems that matches the specified filter in the request.
   repeated DataItem data_items = 1;
@@ -375,12 +396,13 @@ message ListDataItemsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+// Request message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
 message SearchDataItemsRequest {
   // Expression that allows ranking results based on annotation's property.
   message OrderByAnnotation {
-    // Required. Saved query of the Annotation. Only Annotations belong to this saved
-    // query will be considered for ordering.
+    // Required. Saved query of the Annotation. Only Annotations belong to this
+    // saved query will be considered for ordering.
     string saved_query = 1 [(google.api.field_behavior) = REQUIRED];
 
     // A comma-separated list of annotation fields to order by, sorted in
@@ -452,7 +474,8 @@ message SearchDataItemsRequest {
   // belong to.
   repeated string annotation_filters = 11;
 
-  // Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
+  // Mask specifying which fields of
+  // [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
   google.protobuf.FieldMask field_mask = 6;
 
   // If set, only up to this many of Annotations will be returned per
@@ -470,18 +493,23 @@ message SearchDataItemsRequest {
 
   // A token identifying a page of results for the server to return
   // Typically obtained via
-  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token] of the previous
-  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems] call.
+  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
+  // of the previous
+  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
+  // call.
   string page_token = 10;
 }
 
-// Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
+// Response message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
 message SearchDataItemsResponse {
   // The DataItemViews read.
   repeated DataItemView data_item_views = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token] to obtain that page.
+  // Pass to
+  // [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
@@ -504,7 +532,8 @@ message DataItemView {
   bool has_truncated_annotations = 3;
 }
 
-// Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+// Request message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
 message ListSavedQueriesRequest {
   // Required. The resource name of the Dataset to list SavedQueries from.
   // Format:
@@ -533,7 +562,8 @@ message ListSavedQueriesRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+// Response message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
 message ListSavedQueriesResponse {
   // A list of SavedQueries that match the specified filter in the request.
   repeated SavedQuery saved_queries = 1;
@@ -542,7 +572,8 @@ message ListSavedQueriesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+// Request message for
+// [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
 message GetAnnotationSpecRequest {
   // Required. The name of the AnnotationSpec resource.
   // Format:
@@ -558,7 +589,8 @@ message GetAnnotationSpecRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+// Request message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
 message ListAnnotationsRequest {
   // Required. The resource name of the DataItem to list Annotations from.
   // Format:
@@ -587,7 +619,8 @@ message ListAnnotationsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+// Response message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
 message ListAnnotationsResponse {
   // A list of Annotations that matches the specified filter in the request.
   repeated Annotation annotations = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
index 15a799019257..4eae114f07f4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
@@ -29,8 +29,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // Represents a customer-managed encryption key spec that can be applied to
 // a top-level resource.
 message EncryptionSpec {
-  // Required. The Cloud KMS resource identifier of the customer managed encryption key
-  // used to protect a resource. Has the form:
+  // Required. The Cloud KMS resource identifier of the customer managed
+  // encryption key used to protect a resource. Has the form:
   // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
   // The key needs to be in the same region as where the compute resource is
   // created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
index 39a3f50074af..6c1a23b8b93f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
@@ -52,9 +52,13 @@ message Endpoint {
   string description = 3;
 
   // Output only. The models deployed in this Endpoint.
-  // To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
-  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
-  repeated DeployedModel deployed_models = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // To add or remove DeployedModels use
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
+  // and
+  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
+  // respectively.
+  repeated DeployedModel deployed_models = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // A map from a DeployedModel's ID to the percentage of this Endpoint's
   // traffic that should be forwarded to that DeployedModel.
@@ -80,10 +84,12 @@ message Endpoint {
   map labels = 7;
 
   // Output only. Timestamp when this Endpoint was created.
-  google.protobuf.Timestamp create_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Endpoint was last updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for an Endpoint. If set, this
   // Endpoint and all sub-resources of this Endpoint will be secured by
@@ -97,7 +103,8 @@ message Endpoint {
   // Private services access must already be configured for the network. If left
   // unspecified, the Endpoint is not peered with any network.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
   // can be set.
   //
@@ -105,20 +112,21 @@ message Endpoint {
   // `projects/{project}/global/networks/{network}`.
   // Where `{project}` is a project number, as in `12345`, and `{network}` is
   // network name.
-  string network = 13 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 13 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
   // Deprecated: If true, expose the Endpoint via private service connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
   // can be set.
   bool enable_private_service_connect = 17 [deprecated = true];
 
-  // Output only. Resource name of the Model Monitoring job associated with this Endpoint
-  // if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-  // Format:
+  // Output only. Resource name of the Model Monitoring job associated with this
+  // Endpoint if monitoring is enabled by
+  // [CreateModelDeploymentMonitoringJob][]. Format:
   // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
   string model_deployment_monitoring_job = 14 [
     (google.api.field_behavior) = OUTPUT_ONLY,
@@ -128,7 +136,8 @@ message Endpoint {
   ];
 
   // Configures the request-response logging for online prediction.
-  PredictRequestResponseLoggingConfig predict_request_response_logging_config = 18;
+  PredictRequestResponseLoggingConfig predict_request_response_logging_config =
+      18;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -148,14 +157,15 @@ message DeployedModel {
     AutomaticResources automatic_resources = 8;
   }
 
-  // Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-  // will generate a value for this ID.
+  // Immutable. The ID of the DeployedModel. If not provided upon deployment,
+  // Vertex AI will generate a value for this ID.
   //
   // This value should be 1-10 characters, and valid characters are /[0-9]/.
   string id = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Required. The resource name of the Model that this is the deployment of. Note that
-  // the Model may be in a different location than the DeployedModel's Endpoint.
+  // Required. The resource name of the Model that this is the deployment of.
+  // Note that the Model may be in a different location than the DeployedModel's
+  // Endpoint.
   //
   // The resource name may contain version id or version alias to specify the
   // version, if no version is specified, the default version will be deployed.
@@ -174,17 +184,26 @@ message DeployedModel {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedModel was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Explanation configuration for this DeployedModel.
   //
-  // When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value
-  // overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding
-  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+  // When deploying a Model using
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
+  // this value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // are optional in the request. If a field of
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // is not populated, the value of the same field of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // is inherited. If the corresponding
+  // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
+  // is not populated, all fields of the
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // will be used for the explanation configuration.
   ExplanationSpec explanation_spec = 9;
 
   // The service account that the DeployedModel's container runs as. Specify the
@@ -213,10 +232,12 @@ message DeployedModel {
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 13;
 
-  // Output only. Provide paths for users to send predict/explain/health requests directly to
-  // the deployed model services running on Cloud via private services access.
-  // This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
-  PrivateEndpoints private_endpoints = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Provide paths for users to send predict/explain/health
+  // requests directly to the deployed model services running on Cloud via
+  // private services access. This field is populated if
+  // [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
+  PrivateEndpoints private_endpoints = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // PrivateEndpoints proto is used to provide paths for users to send
@@ -234,8 +255,8 @@ message PrivateEndpoints {
   // Output only. Http(s) path to send health check requests.
   string health_http_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
index 0108728ccd3f..324fd9204ec4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's Endpoints.
 service EndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Endpoint.
-  rpc CreateEndpoint(CreateEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateEndpoint(CreateEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/endpoints"
       body: "endpoint"
@@ -78,7 +80,8 @@ service EndpointService {
   }
 
   // Deletes an Endpoint.
-  rpc DeleteEndpoint(DeleteEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEndpoint(DeleteEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/endpoints/*}"
     };
@@ -95,7 +98,8 @@ service EndpointService {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:deployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "DeployModelResponse"
       metadata_type: "DeployModelOperationMetadata"
@@ -104,12 +108,14 @@ service EndpointService {
 
   // Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
   // freeing all resources it's using.
-  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
+  rpc UndeployModel(UndeployModelRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:undeployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model_id,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model_id,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "UndeployModelResponse"
       metadata_type: "UndeployModelOperationMetadata"
@@ -117,7 +123,8 @@ service EndpointService {
   }
 }
 
-// Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+// Request message for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
 message CreateEndpointRequest {
   // Required. The resource name of the Location to create the Endpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -142,13 +149,15 @@ message CreateEndpointRequest {
   string endpoint_id = 4 [(google.api.field_behavior) = IMMUTABLE];
 }
 
-// Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+// Runtime operation information for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
 message CreateEndpointOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+// Request message for
+// [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
 message GetEndpointRequest {
   // Required. The name of the Endpoint resource.
   // Format:
@@ -161,10 +170,11 @@ message GetEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+// Request message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
 message ListEndpointsRequest {
-  // Required. The resource name of the Location from which to list the Endpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // Endpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -172,11 +182,12 @@ message ListEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+  //     i.e. the last segment of the Endpoint's [resource
+  //     name][google.cloud.aiplatform.v1.Endpoint.name].
   //   * `display_name` supports = and, !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -194,12 +205,15 @@ message ListEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
-  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
+  // of the previous
+  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 
   // A comma-separated list of fields to order by, sorted in ascending order.
   // Use "desc" after a field name for descending.
@@ -212,26 +226,33 @@ message ListEndpointsRequest {
   string order_by = 6;
 }
 
-// Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+// Response message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
 message ListEndpointsResponse {
   // List of Endpoints in the requested page.
   repeated Endpoint endpoints = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+// Request message for
+// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
 message UpdateEndpointRequest {
   // Required. The Endpoint which replaces the resource on the server.
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+// Request message for
+// [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
 message DeleteEndpointRequest {
   // Required. The name of the Endpoint resource to be deleted.
   // Format:
@@ -244,7 +265,8 @@ message DeleteEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Request message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelRequest {
   // Required. The name of the Endpoint resource into which to deploy a Model.
   // Format:
@@ -257,8 +279,9 @@ message DeployModelRequest {
   ];
 
   // Required. The DeployedModel to be created within the Endpoint. Note that
-  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-  // receiving traffic, either as part of this call, or via
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]
+  // must be updated for the DeployedModel to start receiving traffic, either as
+  // part of this call, or via
   // [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
   DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -266,29 +289,34 @@ message DeployModelRequest {
   // traffic that should be forwarded to that DeployedModel.
   //
   // If this field is non-empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
-  // To refer to the ID of the just being deployed Model, a "0" should be used,
-  // and the actual ID of the new DeployedModel will be filled in its place by
-  // this method. The traffic percentage values must add up to 100.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+  // overwritten with it. To refer to the ID of the just being deployed Model, a
+  // "0" should be used, and the actual ID of the new DeployedModel will be
+  // filled in its place by this method. The traffic percentage values must add
+  // up to 100.
   //
   // If this field is empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not
+  // updated.
   map traffic_split = 3;
 }
 
-// Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Response message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelResponse {
   // The DeployedModel that had been deployed in the Endpoint.
   DeployedModel deployed_model = 1;
 }
 
-// Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+// Runtime operation information for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
 message DeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+// Request message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
 message UndeployModelRequest {
   // Required. The name of the Endpoint resource from which to undeploy a Model.
   // Format:
@@ -304,21 +332,21 @@ message UndeployModelRequest {
   string deployed_model_id = 2 [(google.api.field_behavior) = REQUIRED];
 
   // If this field is provided, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
-  // last DeployedModel is being undeployed from the Endpoint, the
-  // [Endpoint.traffic_split] will always end up empty when this call returns.
-  // A DeployedModel will be successfully undeployed only if it doesn't have
-  // any traffic assigned to it when this method executes, or if this field
-  // unassigns any traffic to it.
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be
+  // overwritten with it. If last DeployedModel is being undeployed from the
+  // Endpoint, the [Endpoint.traffic_split] will always end up empty when this
+  // call returns. A DeployedModel will be successfully undeployed only if it
+  // doesn't have any traffic assigned to it when this method executes, or if
+  // this field unassigns any traffic to it.
   map traffic_split = 3;
 }
 
-// Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
-message UndeployModelResponse {
-
-}
+// Response message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+message UndeployModelResponse {}
 
-// Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+// Runtime operation information for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
 message UndeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/entity_type.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/entity_type.proto
index 073b53398274..dcdea9645e15 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/entity_type.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/entity_type.proto
@@ -52,12 +52,15 @@ message EntityType {
   string description = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your EntityTypes.
+  // Optional. The labels with user-defined metadata to organize your
+  // EntityTypes.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -70,17 +73,19 @@ message EntityType {
   // and are immutable.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform a consistent read-modify-write updates. If not
+  // set, a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The default monitoring configuration for all Features with value type
-  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-  // EntityType.
+  // Optional. The default monitoring configuration for all Features with value
+  // type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+  // STRING, DOUBLE or INT64 under this EntityType.
   //
   // If this is populated with
   // [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
   // analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
   // disabled.
-  FeaturestoreMonitoringConfig monitoring_config = 8 [(google.api.field_behavior) = OPTIONAL];
+  FeaturestoreMonitoringConfig monitoring_config = 8
+      [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/event.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/event.proto
index f9f925db59cd..0056445bb2ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/event.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/event.proto
@@ -60,7 +60,8 @@ message Event {
   ];
 
   // Output only. Time the Event occurred.
-  google.protobuf.Timestamp event_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp event_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The type of the Event.
   Type type = 4 [(google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/execution.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/execution.proto
index 0d9dcea5a378..5af5c2aca85a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/execution.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/execution.proto
@@ -87,10 +87,12 @@ message Execution {
   map labels = 10;
 
   // Output only. Timestamp when this Execution was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Execution was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The title of the schema describing the metadata.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation.proto
index 0c00d8a2268e..24d9e28f72ae 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation.proto
@@ -28,8 +28,10 @@ option java_package = "com.google.cloud.aiplatform.v1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
 option ruby_package = "Google::Cloud::AIPlatform::V1";
 
-// Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
-// produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
+// Explanation of a prediction (provided in
+// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
+// produced by the Model on a given
+// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
 message Explanation {
   // Output only. Feature attributions grouped by predicted outputs.
   //
@@ -37,15 +39,21 @@ message Explanation {
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted
-  // by [instance_output_value][Attributions.instance_output_value] in
-  // descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices] is specified,
-  // the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
-  // order as they appear in the output_indices.
-  repeated Attribution attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // If users set
+  // [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
+  // the attributions are sorted by
+  // [instance_output_value][Attributions.instance_output_value] in descending
+  // order. If
+  // [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
+  // is specified, the attributions are stored by
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // in the same order as they appear in the output_indices.
+  repeated Attribution attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. List of the nearest neighbors for example-based explanations.
   //
@@ -56,55 +64,67 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
-  // set of instances. The attributions are grouped by outputs.
+  // Output only. Aggregated attributions explaining the Model's prediction
+  // outputs over the set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // The [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
-  // [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value] and
-  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] fields are
-  // averaged over the test data.
+  // The
+  // [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
+  // [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
+  // and
+  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // fields are averaged over the test data.
   //
   // NOTE: Currently AutoML tabular classification Models produce only one
   // attribution, which averages attributions over all the classes it predicts.
-  // [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error] is not populated.
-  repeated Attribution mean_attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
+  // is not populated.
+  repeated Attribution mean_attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Attribution that explains a particular prediction output.
 message Attribution {
-  // Output only. Model predicted output if the input instance is constructed from the
-  // baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // Output only. Model predicted output if the input instance is constructed
+  // from the baselines of all the features defined in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
   // The field name of the output is determined by the key in
   // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
   //
   // If the Model's predicted output has multiple dimensions (rank > 1), this is
-  // the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+  // the value in the output located by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
   //
   // If there are multiple baselines, their output values are averaged.
   double baseline_output_value = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Model predicted output on the corresponding [explanation
   // instance][ExplainRequest.instances]. The field name of the output is
-  // determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
+  // determined by the key in
+  // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
   //
   // If the Model predicted output has multiple dimensions, this is the value in
-  // the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+  // the output located by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
   double instance_output_value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Attributions of each explained feature. Features are extracted from
-  // the [prediction instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according to
-  // [explanation metadata for inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // Output only. Attributions of each explained feature. Features are extracted
+  // from the [prediction
+  // instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
+  // to [explanation metadata for
+  // inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
   //
   // The value is a struct, whose keys are the name of the feature. The values
-  // are how much the feature in the [instance][google.cloud.aiplatform.v1.ExplainRequest.instances]
-  // contributed to the predicted result.
+  // are how much the feature in the
+  // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
+  // to the predicted result.
   //
   // The format of the value is determined by the feature's input format:
   //
@@ -120,11 +140,15 @@ message Attribution {
   //     struct. The formats of the values in the attribution struct are
   //     determined by the formats of the values in the feature struct.
   //
-  // The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri] field,
-  // pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
-  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object, points to the schema file that
-  // describes the features and their attribution values (if it is populated).
-  google.protobuf.Value feature_attributions = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // The
+  // [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
+  // field, pointed to by the
+  // [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // object, points to the schema file that describes the features and their
+  // attribution values (if it is populated).
+  google.protobuf.Value feature_attributions = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The index that locates the explained prediction output.
   //
@@ -135,8 +159,9 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For example,
-  // the predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
+  // example, the predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -144,20 +169,26 @@ message Attribution {
   // output_index.
   string output_display_name = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the
-  // explanation method. Lower value means more precise attributions.
+  // Output only. Error of
+  // [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // caused by approximation used in the explanation method. Lower value means
+  // more precise attributions.
   //
   // * For Sampled Shapley
   // [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
-  // increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce
-  // the error.
+  // increasing
+  // [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
+  // might reduce the error.
   // * For Integrated Gradients
   // [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might
-  // reduce the error.
-  // * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
   // increasing
-  // [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might reduce the error.
+  // [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
+  // might reduce the error.
+  // * For [XRAI
+  // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+  // increasing
+  // [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
+  // reduce the error.
   //
   // See [this introduction](/vertex-ai/docs/explainable-ai/overview)
   // for more information.
@@ -219,13 +250,14 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices. It
-  // must be an ndarray of integers, with the same shape of the output it's
-  // explaining.
+  // [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+  // contained in output_indices. It must be an ndarray of integers, with the
+  // same shape of the output it's explaining.
   //
-  // If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of outputs.
-  // If neither top_k nor output_indices is populated, returns the argmax
-  // index of the outputs.
+  // If not populated, returns attributions for
+  // [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
+  // outputs. If neither top_k nor output_indices is populated, returns the
+  // argmax index of the outputs.
   //
   // Only applicable to Models that predict multiple outputs (e,g, multi-class
   // Models that predict multiple classes).
@@ -236,8 +268,8 @@ message ExplanationParameters {
 // contribute to the label being predicted. A sampling strategy is used to
 // approximate the value rather than considering all subsets of features.
 message SampledShapleyAttribution {
-  // Required. The number of feature permutations to consider when approximating the
-  // Shapley values.
+  // Required. The number of feature permutations to consider when approximating
+  // the Shapley values.
   //
   // Valid range of its value is [1, 50], inclusively.
   int32 path_count = 1 [(google.api.field_behavior) = REQUIRED];
@@ -324,16 +356,18 @@ message SmoothGradConfig {
     // paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
     //
     // If the distribution is different per feature, set
-    // [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead
-    // for each feature.
+    // [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
+    // instead for each feature.
     float noise_sigma = 1;
 
-    // This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but
-    // provides additional flexibility. A separate noise sigma can be provided
-    // for each feature, which is useful if their distributions are different.
-    // No noise is added to features that are not set. If this field is unset,
-    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all
-    // features.
+    // This is similar to
+    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
+    // but provides additional flexibility. A separate noise sigma can be
+    // provided for each feature, which is useful if their distributions are
+    // different. No noise is added to features that are not set. If this field
+    // is unset,
+    // [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+    // will be used for all features.
     FeatureNoiseSigma feature_noise_sigma = 2;
   }
 
@@ -352,13 +386,14 @@ message FeatureNoiseSigma {
   message NoiseSigmaForFeature {
     // The name of the input feature for which noise sigma is provided. The
     // features are defined in
-    // [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+    // [explanation metadata
+    // inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
     string name = 1;
 
     // This represents the standard deviation of the Gaussian kernel that will
     // be used to add noise to the feature prior to computing gradients. Similar
-    // to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the
-    // noise added to the current feature. Defaults to 0.1.
+    // to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
+    // but represents the noise added to the current feature. Defaults to 0.1.
     float sigma = 2;
   }
 
@@ -380,12 +415,13 @@ message BlurBaselineConfig {
   float max_blur_sigma = 1;
 }
 
-// The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+// The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
+// that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
 message ExplanationSpecOverride {
   // The parameters to be overridden. Note that the
-  // [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be changed. If not specified,
-  // no parameter is overridden.
+  // [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
+  // changed. If not specified, no parameter is overridden.
   ExplanationParameters parameters = 1;
 
   // The metadata to be overridden. If not specified, no metadata is overridden.
@@ -395,11 +431,13 @@ message ExplanationSpecOverride {
   ExamplesOverride examples_override = 3;
 }
 
-// The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
+// The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
+// entries that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
 message ExplanationMetadataOverride {
-  // The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
-  // overridden.
+  // The [input
+  // metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
+  // entries to be overridden.
   message InputMetadataOverride {
     // Baseline inputs for this feature.
     //
@@ -410,12 +448,14 @@ message ExplanationMetadataOverride {
     repeated google.protobuf.Value input_baselines = 1;
   }
 
-  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the features.
-  // The key is the name of the feature to be overridden. The keys specified
-  // here must exist in the input metadata to be overridden. If a feature is
-  // not specified here, the corresponding feature's input metadata is not
-  // overridden.
-  map inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. Overrides the [input
+  // metadata][google.cloud.aiplatform.v1.ExplanationMetadata.inputs] of the
+  // features. The key is the name of the feature to be overridden. The keys
+  // specified here must exist in the input metadata to be overridden. If a
+  // feature is not specified here, the corresponding feature's input metadata
+  // is not overridden.
+  map inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Overrides for example-based explanations.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation_metadata.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation_metadata.proto
index 5ee0c1ce33e6..aac28243085b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation_metadata.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/explanation_metadata.proto
@@ -31,8 +31,10 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 message ExplanationMetadata {
   // Metadata of the input of a feature.
   //
-  // Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-  // for Models that are using Vertex AI-provided images for Tensorflow.
+  // Fields other than
+  // [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines]
+  // are applicable only for Models that are using Vertex AI-provided images for
+  // Tensorflow.
   message InputMetadata {
     // Domain details of the input feature value. Provides numeric information
     // about the feature, such as its range (min, max). If the feature has been
@@ -63,7 +65,8 @@ message ExplanationMetadata {
     // Visualization configurations for image explanation.
     message Visualization {
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
       enum Type {
         // Should not be used.
         TYPE_UNSPECIFIED = 0;
@@ -141,7 +144,8 @@ message ExplanationMetadata {
       }
 
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
       // OUTLINES shows regions of attribution, while PIXELS shows per-pixel
       // attribution. Defaults to OUTLINES.
       Type type = 1;
@@ -153,12 +157,14 @@ message ExplanationMetadata {
       // The color scheme used for the highlighted areas.
       //
       // Defaults to PINK_GREEN for
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
       // which shows positive attributions in green and negative in pink.
       //
       // Defaults to VIRIDIS for
-      // [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], which
-      // highlights the most influential regions in yellow and the least
+      // [XRAI
+      // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
+      // which highlights the most influential regions in yellow and the least
       // influential in blue.
       ColorMap color_map = 3;
 
@@ -188,8 +194,9 @@ message ExplanationMetadata {
       IDENTITY = 1;
 
       // The tensor represents a bag of features where each index maps to
-      // a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-      // this encoding. For example:
+      // a feature.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [27, 6.0, 150]
       // index_feature_mapping = ["age", "height", "weight"]
@@ -198,8 +205,9 @@ message ExplanationMetadata {
 
       // The tensor represents a bag of features where each index maps to a
       // feature. Zero values in the tensor indicates feature being
-      // non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-      // for this encoding. For example:
+      // non-existent.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [2, 0, 5, 0, 1]
       // index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -207,7 +215,8 @@ message ExplanationMetadata {
       BAG_OF_FEATURES_SPARSE = 3;
 
       // The tensor is a list of binaries representing whether a feature exists
-      // or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // or not (1 indicates existence).
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
       // must be provided for this encoding. For example:
       // ```
       // input = [1, 0, 1, 0, 1]
@@ -216,8 +225,9 @@ message ExplanationMetadata {
       INDICATOR = 4;
 
       // The tensor is encoded into a 1-dimensional array represented by an
-      // encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-      // for this encoding. For example:
+      // encoded tensor.
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -226,9 +236,9 @@ message ExplanationMetadata {
 
       // Select this encoding when the input tensor is encoded into a
       // 2-dimensional array represented by an encoded tensor.
-      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-      // encoding. The first dimension of the encoded tensor's shape is the same
-      // as the input tensor's shape. For example:
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. The first dimension of the encoded
+      // tensor's shape is the same as the input tensor's shape. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -244,7 +254,8 @@ message ExplanationMetadata {
     //
     // If no baseline is specified, Vertex AI chooses the baseline for this
     // feature. If multiple baselines are specified, Vertex AI returns the
-    // average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+    // average attributions across them in
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
     //
     // For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
     // of each baseline must match the shape of the input tensor. If a scalar is
@@ -252,9 +263,9 @@ message ExplanationMetadata {
     //
     // For custom images, the element of the baselines must be in the same
     // format as the feature's input in the
-    // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The schema of any single instance
-    // may be specified via Endpoint's DeployedModels'
-    // [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+    // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
+    // schema of any single instance may be specified via Endpoint's
+    // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
     // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
     // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
     repeated google.protobuf.Value input_baselines = 1;
@@ -287,15 +298,18 @@ message ExplanationMetadata {
     string dense_shape_tensor_name = 7;
 
     // A list of feature names for each index in the input tensor.
-    // Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-    // BAG_OF_FEATURES_SPARSE, INDICATOR.
+    // Required when the input
+    // [InputMetadata.encoding][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoding]
+    // is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
     repeated string index_feature_mapping = 8;
 
     // Encoded tensor is a transformation of the input tensor. Must be provided
     // if choosing
-    // [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
-    // or [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution] and the
-    // input tensor is not differentiable.
+    // [Integrated Gradients
+    // attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution]
+    // or [XRAI
+    // attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution]
+    // and the input tensor is not differentiable.
     //
     // An encoded tensor is generated if the input tensor is encoded by a lookup
     // table.
@@ -315,17 +329,21 @@ message ExplanationMetadata {
     // name will be treated as one feature when computing attributions. Features
     // grouped together can have different shapes in value. If provided, there
     // will be one single attribution generated in
-    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions], keyed by the group name.
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions],
+    // keyed by the group name.
     string group_name = 12;
   }
 
   // Metadata of the prediction output to be explained.
   message OutputMetadata {
-    // Defines how to map [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] to
+    // Defines how to map
+    // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+    // to
     // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name].
     //
     // If neither of the fields are specified,
-    // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] will not be populated.
+    // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+    // will not be populated.
     oneof display_name_mapping {
       // Static mapping between the index and display name.
       //
@@ -337,8 +355,10 @@ message ExplanationMetadata {
       //
       // The shape of the value must be an n-dimensional array of strings. The
       // number of dimensions must match that of the outputs to be explained.
-      // The [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name] is populated by locating in the
-      // mapping with [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
+      // The
+      // [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
+      // is populated by locating in the mapping with
+      // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
       google.protobuf.Value index_display_name_mapping = 1;
 
       // Specify a field name in the prediction to look for the display name.
@@ -346,8 +366,9 @@ message ExplanationMetadata {
       // Use this if the prediction contains the display names for the outputs.
       //
       // The display names in the prediction must have the same shape of the
-      // outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] for
-      // a specific output.
+      // outputs, so that it can be located by
+      // [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
+      // for a specific output.
       string display_name_mapping_key = 2;
     }
 
@@ -356,21 +377,23 @@ message ExplanationMetadata {
     string output_tensor_name = 3;
   }
 
-  // Required. Map from feature names to feature input metadata. Keys are the name of the
-  // features. Values are the specification of the feature.
+  // Required. Map from feature names to feature input metadata. Keys are the
+  // name of the features. Values are the specification of the feature.
   //
   // An empty InputMetadata is valid. It describes a text feature which has the
-  // name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs]. The baseline
-  // of the empty feature is chosen by Vertex AI.
+  // name specified as the key in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
+  // The baseline of the empty feature is chosen by Vertex AI.
   //
   // For Vertex AI-provided Tensorflow images, the key can be any friendly
   // name of the feature. Once specified,
-  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] are keyed by
-  // this key (if not grouped with another feature).
+  // [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
+  // are keyed by this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
   // [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
-  map inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  map inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Map from output names to output metadata.
   //
@@ -381,10 +404,12 @@ message ExplanationMetadata {
   // to be explained.
   //
   // Currently only one key is allowed.
-  map outputs = 2 [(google.api.field_behavior) = REQUIRED];
+  map outputs = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // Points to a YAML file stored on Google Cloud Storage describing the format
-  // of the [feature attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
+  // of the [feature
+  // attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature.proto
index 690bb364110d..ea62bd1b7b13 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature.proto
@@ -41,7 +41,9 @@ message Feature {
   // A list of historical [Snapshot
   // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
   // Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-  // requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.
+  // requested by user, sorted by
+  // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
+  // descending.
   message MonitoringStatsAnomaly {
     // If the objective in the request is both
     // Import Feature Analysis and Snapshot Analysis, this objective could be
@@ -62,7 +64,8 @@ message Feature {
     Objective objective = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The stats and anomalies generated at specific timestamp.
-    FeatureStatsAnomaly feature_stats_anomaly = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    FeatureStatsAnomaly feature_stats_anomaly = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a feature.
@@ -118,10 +121,12 @@ message Feature {
   ];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your Features.
   //
@@ -140,15 +145,17 @@ message Feature {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Optional. If not set, use the monitoring_config defined for the EntityType this
-  // Feature belongs to.
-  // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-  // INT64 can enable monitoring.
+  // Optional. If not set, use the monitoring_config defined for the EntityType
+  // this Feature belongs to. Only Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL,
+  // STRING, DOUBLE or INT64 can enable monitoring.
   //
   // If set to true, all types of data monitoring are disabled despite the
   // config on EntityType.
   bool disable_monitoring = 12 [(google.api.field_behavior) = OPTIONAL];
 
-  // Output only. The list of historical stats and anomalies with specified objectives.
-  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The list of historical stats and anomalies with specified
+  // objectives.
+  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature_monitoring_stats.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature_monitoring_stats.proto
index 1138ec8c340c..95cad9fc475d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature_monitoring_stats.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/feature_monitoring_stats.proto
@@ -39,7 +39,8 @@ message FeatureStatsAnomaly {
   // Feature importance score, only populated when cross-feature monitoring is
   // enabled. For now only used to represent feature attribution score within
   // range [0, 1] for
-  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+  // and
   // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
   double score = 1;
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore.proto
index 46b19f60ec3c..facac33d0ef8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore.proto
@@ -45,8 +45,8 @@ message Featurestore {
     // max_node_count are set to the same value, the cluster will be configured
     // with the fixed number of node (no auto-scaling).
     message Scaling {
-      // Required. The minimum number of nodes to scale down to. Must be greater than or
-      // equal to 1.
+      // Required. The minimum number of nodes to scale down to. Must be greater
+      // than or equal to 1.
       int32 min_node_count = 1 [(google.api.field_behavior) = REQUIRED];
 
       // The maximum number of nodes to scale up to. Must be greater than
@@ -94,16 +94,19 @@ message Featurestore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The labels with user-defined metadata to organize your Featurestore.
+  // Optional. The labels with user-defined metadata to organize your
+  // Featurestore.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -116,16 +119,17 @@ message Featurestore {
   // and are immutable.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Config for online storage resources. The field should not co-exist with the
-  // field of `OnlineStoreReplicationConfig`. If both of it and
-  // OnlineStoreReplicationConfig are unset, the feature store will not have an
-  // online store and cannot be used for online serving.
-  OnlineServingConfig online_serving_config = 7 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. Config for online storage resources. The field should not
+  // co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+  // and OnlineStoreReplicationConfig are unset, the feature store will not have
+  // an online store and cannot be used for online serving.
+  OnlineServingConfig online_serving_config = 7
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. State of the featurestore.
   State state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Customer-managed encryption key spec for data storage. If set, both of the
-  // online and offline data storage will be secured by this key.
+  // Optional. Customer-managed encryption key spec for data storage. If set,
+  // both of the online and offline data storage will be secured by this key.
   EncryptionSpec encryption_spec = 10 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_monitoring.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_monitoring.proto
index 7233658b0771..071f6a24656e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_monitoring.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_monitoring.proto
@@ -139,11 +139,15 @@ message FeaturestoreMonitoringConfig {
 
   // Threshold for numerical features of anomaly detection.
   // This is shared by all objectives of Featurestore Monitoring for numerical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
+  // or INT64).
   ThresholdConfig numerical_threshold_config = 3;
 
   // Threshold for categorical features of anomaly detection.
   // This is shared by all types of Featurestore Monitoring for categorical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
+  // STRING).
   ThresholdConfig categorical_threshold_config = 4;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_online_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_online_service.proto
index bf9fa7190a09..b9c4f3dbf4dd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_online_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_online_service.proto
@@ -35,12 +35,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for serving online feature values.
 service FeaturestoreOnlineServingService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Reads Feature values of a specific entity of an EntityType. For reading
   // feature values of multiple entities of an EntityType, please use
   // StreamingReadFeatureValues.
-  rpc ReadFeatureValues(ReadFeatureValuesRequest) returns (ReadFeatureValuesResponse) {
+  rpc ReadFeatureValues(ReadFeatureValuesRequest)
+      returns (ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:readFeatureValues"
       body: "*"
@@ -51,7 +53,8 @@ service FeaturestoreOnlineServingService {
   // Reads Feature values for multiple entities. Depending on their size, data
   // for different entities may be broken
   // up across multiple responses.
-  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest) returns (stream ReadFeatureValuesResponse) {
+  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest)
+      returns (stream ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:streamingReadFeatureValues"
       body: "*"
@@ -64,7 +67,8 @@ service FeaturestoreOnlineServingService {
   // The Feature values are merged into existing entities if any. The Feature
   // values to be written must have timestamp within the online storage
   // retention.
-  rpc WriteFeatureValues(WriteFeatureValuesRequest) returns (WriteFeatureValuesResponse) {
+  rpc WriteFeatureValues(WriteFeatureValuesRequest)
+      returns (WriteFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:writeFeatureValues"
       body: "*"
@@ -73,10 +77,12 @@ service FeaturestoreOnlineServingService {
   }
 }
 
-// Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
 message WriteFeatureValuesRequest {
-  // Required. The resource name of the EntityType for the entities being written.
-  // Value format: `projects/{project}/locations/{location}/featurestores/
+  // Required. The resource name of the EntityType for the entities being
+  // written. Value format:
+  // `projects/{project}/locations/{location}/featurestores/
   // {featurestore}/entityTypes/{entityType}`. For example,
   // for a machine learning model predicting user clicks on a website, an
   // EntityType ID could be `user`.
@@ -87,9 +93,10 @@ message WriteFeatureValuesRequest {
     }
   ];
 
-  // Required. The entities to be written. Up to 100,000 feature values can be written
-  // across all `payloads`.
-  repeated WriteFeatureValuesPayload payloads = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The entities to be written. Up to 100,000 feature values can be
+  // written across all `payloads`.
+  repeated WriteFeatureValuesPayload payloads = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Contains Feature values to be written for a specific entity.
@@ -97,19 +104,20 @@ message WriteFeatureValuesPayload {
   // Required. The ID of the entity.
   string entity_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Feature values to be written, mapping from Feature ID to value. Up to
-  // 100,000 `feature_values` entries may be written across all payloads.  The
-  // feature generation time, aligned by days, must be no older than five
+  // Required. Feature values to be written, mapping from Feature ID to value.
+  // Up to 100,000 `feature_values` entries may be written across all payloads.
+  // The feature generation time, aligned by days, must be no older than five
   // years (1825 days) and no later than one year (366 days) in the future.
-  map feature_values = 2 [(google.api.field_behavior) = REQUIRED];
+  map feature_values = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
-message WriteFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
+message WriteFeatureValuesResponse {}
 
-// Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesRequest {
   // Required. The resource name of the EntityType for the entity being read.
   // Value format:
@@ -132,7 +140,8 @@ message ReadFeatureValuesRequest {
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Response message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesResponse {
   // Metadata for requested Features.
   message FeatureDescriptor {
@@ -141,14 +150,16 @@ message ReadFeatureValuesResponse {
   }
 
   // Response header with metadata for the requested
-  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.
+  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
+  // and Features.
   message Header {
     // The resource name of the EntityType from the
-    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest]. Value format:
+    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
+    // Value format:
     // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
     string entity_type = 1 [(google.api.resource_reference) = {
-                              type: "aiplatform.googleapis.com/EntityType"
-                            }];
+      type: "aiplatform.googleapis.com/EntityType"
+    }];
 
     // List of Feature metadata corresponding to each piece of
     // [ReadFeatureValuesResponse.data][].
@@ -179,7 +190,8 @@ message ReadFeatureValuesResponse {
     // requested values for one requested Feature. If no values
     // for the requested Feature exist, the corresponding cell will be empty.
     // This has the same size and is in the same order as the features from the
-    // header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
+    // header
+    // [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
     repeated Data data = 2;
   }
 
@@ -209,13 +221,13 @@ message StreamingReadFeatureValuesRequest {
     }
   ];
 
-  // Required. IDs of entities to read Feature values of. The maximum number of IDs is
-  // 100. For example, for a machine learning model predicting user clicks on a
-  // website, an entity ID could be `user_123`.
+  // Required. IDs of entities to read Feature values of. The maximum number of
+  // IDs is 100. For example, for a machine learning model predicting user
+  // clicks on a website, an entity ID could be `user_123`.
   repeated string entity_ids = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Selector choosing Features of the target EntityType. Feature IDs will be
-  // deduplicated.
+  // Required. Selector choosing Features of the target EntityType. Feature IDs
+  // will be deduplicated.
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_service.proto
index 930d45c19c37..b500a4aa2b8c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/featurestore_service.proto
@@ -41,16 +41,19 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // The service that handles CRUD and List for resources for Featurestore.
 service FeaturestoreService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a new Featurestore in a given project and location.
-  rpc CreateFeaturestore(CreateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeaturestore(CreateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/featurestores"
       body: "featurestore"
     };
     option (google.api.method_signature) = "parent,featurestore";
-    option (google.api.method_signature) = "parent,featurestore,featurestore_id";
+    option (google.api.method_signature) =
+        "parent,featurestore,featurestore_id";
     option (google.longrunning.operation_info) = {
       response_type: "Featurestore"
       metadata_type: "CreateFeaturestoreOperationMetadata"
@@ -66,7 +69,8 @@ service FeaturestoreService {
   }
 
   // Lists Featurestores in a given project and location.
-  rpc ListFeaturestores(ListFeaturestoresRequest) returns (ListFeaturestoresResponse) {
+  rpc ListFeaturestores(ListFeaturestoresRequest)
+      returns (ListFeaturestoresResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/featurestores"
     };
@@ -74,7 +78,8 @@ service FeaturestoreService {
   }
 
   // Updates the parameters of a single Featurestore.
-  rpc UpdateFeaturestore(UpdateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc UpdateFeaturestore(UpdateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{featurestore.name=projects/*/locations/*/featurestores/*}"
       body: "featurestore"
@@ -88,7 +93,8 @@ service FeaturestoreService {
 
   // Deletes a single Featurestore. The Featurestore must not contain any
   // EntityTypes or `force` must be set to true for the request to succeed.
-  rpc DeleteFeaturestore(DeleteFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeaturestore(DeleteFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*}"
     };
@@ -101,7 +107,8 @@ service FeaturestoreService {
   }
 
   // Creates a new EntityType in a given Featurestore.
-  rpc CreateEntityType(CreateEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc CreateEntityType(CreateEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
       body: "entity_type"
@@ -123,7 +130,8 @@ service FeaturestoreService {
   }
 
   // Lists EntityTypes in a given Featurestore.
-  rpc ListEntityTypes(ListEntityTypesRequest) returns (ListEntityTypesResponse) {
+  rpc ListEntityTypes(ListEntityTypesRequest)
+      returns (ListEntityTypesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
     };
@@ -141,7 +149,8 @@ service FeaturestoreService {
 
   // Deletes a single EntityType. The EntityType must not have any Features
   // or `force` must be set to true for the request to succeed.
-  rpc DeleteEntityType(DeleteEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEntityType(DeleteEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}"
     };
@@ -154,7 +163,8 @@ service FeaturestoreService {
   }
 
   // Creates a new Feature in a given EntityType.
-  rpc CreateFeature(CreateFeatureRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeature(CreateFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features"
       body: "feature"
@@ -168,7 +178,8 @@ service FeaturestoreService {
   }
 
   // Creates a batch of Features in a given EntityType.
-  rpc BatchCreateFeatures(BatchCreateFeaturesRequest) returns (google.longrunning.Operation) {
+  rpc BatchCreateFeatures(BatchCreateFeaturesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features:batchCreate"
       body: "*"
@@ -206,7 +217,8 @@ service FeaturestoreService {
   }
 
   // Deletes a single Feature.
-  rpc DeleteFeature(DeleteFeatureRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeature(DeleteFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}"
     };
@@ -237,7 +249,8 @@ service FeaturestoreService {
   //  include but are not limited to changing storage location, storage class,
   //  or retention policy.
   //  - Online serving cluster is under-provisioned.
-  rpc ImportFeatureValues(ImportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ImportFeatureValues(ImportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:importFeatureValues"
       body: "*"
@@ -255,7 +268,8 @@ service FeaturestoreService {
   // instance in the batch may read Feature values of entities from one or
   // more EntityTypes. Point-in-time correctness is guaranteed for Feature
   // values of each read instance as of each instance's read timestamp.
-  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{featurestore=projects/*/locations/*/featurestores/*}:batchReadFeatureValues"
       body: "*"
@@ -268,7 +282,8 @@ service FeaturestoreService {
   }
 
   // Exports Feature values from all the entities of a target EntityType.
-  rpc ExportFeatureValues(ExportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ExportFeatureValues(ExportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:exportFeatureValues"
       body: "*"
@@ -290,7 +305,8 @@ service FeaturestoreService {
   }
 }
 
-// Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
+// Request message for
+// [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
 message CreateFeaturestoreRequest {
   // Required. The resource name of the Location to create Featurestores.
   // Format:
@@ -305,8 +321,8 @@ message CreateFeaturestoreRequest {
   // Required. The Featurestore to create.
   Featurestore featurestore = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for this Featurestore, which will become the final component
-  // of the Featurestore's resource name.
+  // Required. The ID to use for this Featurestore, which will become the final
+  // component of the Featurestore's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -315,7 +331,8 @@ message CreateFeaturestoreRequest {
   string featurestore_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
+// Request message for
+// [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
 message GetFeaturestoreRequest {
   // Required. The name of the Featurestore resource.
   string name = 1 [
@@ -326,7 +343,8 @@ message GetFeaturestoreRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+// Request message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresRequest {
   // Required. The resource name of the Location to list Featurestores.
   // Format:
@@ -366,12 +384,12 @@ message ListFeaturestoresRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -387,22 +405,24 @@ message ListFeaturestoresRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
+// Response message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresResponse {
   // The Featurestores matching the request.
   repeated Featurestore featurestores = 1;
 
-  // A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
+// Request message for
+// [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
 message UpdateFeaturestoreRequest {
-  // Required. The Featurestore's `name` field is used to identify the Featurestore to be
-  // updated.
-  // Format:
+  // Required. The Featurestore's `name` field is used to identify the
+  // Featurestore to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   Featurestore featurestore = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -419,10 +439,12 @@ message UpdateFeaturestoreRequest {
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
   //   * `online_serving_config.scaling`
+  //   * `online_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
+// Request message for
+// [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
 message DeleteFeaturestoreRequest {
   // Required. The name of the Featurestore to be deleted.
   // Format:
@@ -440,12 +462,13 @@ message DeleteFeaturestoreRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+// Request message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesRequest {
   // Defines the Feature value(s) to import.
   message FeatureSpec {
-    // Required. ID of the Feature to import values of. This Feature must exist in the
-    // target EntityType, or the request will fail.
+    // Required. ID of the Feature to import values of. This Feature must exist
+    // in the target EntityType, or the request will fail.
     string id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Source column to get the Feature values from. If not set, uses the column
@@ -475,8 +498,8 @@ message ImportFeatureValuesRequest {
     google.protobuf.Timestamp feature_time = 7;
   }
 
-  // Required. The resource name of the EntityType grouping the Features for which values
-  // are being imported. Format:
+  // Required. The resource name of the EntityType grouping the Features for
+  // which values are being imported. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -489,10 +512,11 @@ message ImportFeatureValuesRequest {
   // extracted from the column named `entity_id`.
   string entity_id_field = 5;
 
-  // Required. Specifications defining which Feature values to import from the entity. The
-  // request fails if no feature_specs are provided, and having multiple
-  // feature_specs for one Feature is not allowed.
-  repeated FeatureSpec feature_specs = 8 [(google.api.field_behavior) = REQUIRED];
+  // Required. Specifications defining which Feature values to import from the
+  // entity. The request fails if no feature_specs are provided, and having
+  // multiple feature_specs for one Feature is not allowed.
+  repeated FeatureSpec feature_specs = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // If set, data will not be imported for online serving. This
   // is typically used for backfilling, where Feature generation timestamps are
@@ -511,7 +535,8 @@ message ImportFeatureValuesRequest {
   bool disable_ingestion_analysis = 12;
 }
 
-// Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
+// Response message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesResponse {
   // Number of entities that have been imported by the operation.
   int64 imported_entity_count = 1;
@@ -531,25 +556,30 @@ message ImportFeatureValuesResponse {
   int64 timestamp_outside_retention_rows_count = 4;
 }
 
-// Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+// Request message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
 message BatchReadFeatureValuesRequest {
   // Describe pass-through fields in read_instance source.
   message PassThroughField {
-    // Required. The name of the field in the CSV header or the name of the column in
-    // BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1.Feature.name].
+    // Required. The name of the field in the CSV header or the name of the
+    // column in BigQuery table. The naming restriction is the same as
+    // [Feature.name][google.cloud.aiplatform.v1.Feature.name].
     string field_name = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Selects Features of an EntityType to read values of and specifies read
   // settings.
   message EntityTypeSpec {
-    // Required. ID of the EntityType to select Features. The EntityType id is the
-    // [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id] specified
-    // during EntityType creation.
+    // Required. ID of the EntityType to select Features. The EntityType id is
+    // the
+    // [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
+    // specified during EntityType creation.
     string entity_type_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-    // Required. Selectors choosing which Feature values to read from the EntityType.
-    FeatureSelector feature_selector = 2 [(google.api.field_behavior) = REQUIRED];
+    // Required. Selectors choosing which Feature values to read from the
+    // EntityType.
+    FeatureSelector feature_selector = 2
+        [(google.api.field_behavior) = REQUIRED];
 
     // Per-Feature settings for the batch read.
     repeated DestinationFeatureSetting settings = 3;
@@ -586,8 +616,8 @@ message BatchReadFeatureValuesRequest {
     BigQuerySource bigquery_read_instances = 5;
   }
 
-  // Required. The resource name of the Featurestore from which to query Feature values.
-  // Format:
+  // Required. The resource name of the Featurestore from which to query Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   string featurestore = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -597,7 +627,8 @@ message BatchReadFeatureValuesRequest {
   ];
 
   // Required. Specifies output location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // When not empty, the specified fields in the *_read_instances source will be
   // joined as-is in the output, in addition to those fields from the
@@ -608,20 +639,23 @@ message BatchReadFeatureValuesRequest {
   // passed as opaque bytes.
   repeated PassThroughField pass_through_fields = 8;
 
-  // Required. Specifies EntityType grouping Features to read values of and settings.
-  // Each EntityType referenced in
+  // Required. Specifies EntityType grouping Features to read values of and
+  // settings. Each EntityType referenced in
   // [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
   // specifying entity IDs in the EntityType in
   // [BatchReadFeatureValuesRequest.request][] .
-  repeated EntityTypeSpec entity_type_specs = 7 [(google.api.field_behavior) = REQUIRED];
+  repeated EntityTypeSpec entity_type_specs = 7
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Excludes Feature values with feature generation timestamp before this
-  // timestamp. If not set, retrieve oldest values kept in Feature Store.
+  // Optional. Excludes Feature values with feature generation timestamp before
+  // this timestamp. If not set, retrieve oldest values kept in Feature Store.
   // Timestamp, if present, must not have higher than millisecond precision.
-  google.protobuf.Timestamp start_time = 11 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.Timestamp start_time = 11
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+// Request message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
 message ExportFeatureValuesRequest {
   // Describes exporting the latest Feature values of all entities of the
   // EntityType between [start_time, snapshot_time].
@@ -662,8 +696,8 @@ message ExportFeatureValuesRequest {
     FullExport full_export = 7;
   }
 
-  // Required. The resource name of the EntityType from which to export Feature values.
-  // Format:
+  // Required. The resource name of the EntityType from which to export Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -673,7 +707,8 @@ message ExportFeatureValuesRequest {
   ];
 
   // Required. Specifies destination location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Selects Features to export values of.
   FeatureSelector feature_selector = 5 [(google.api.field_behavior) = REQUIRED];
@@ -695,8 +730,10 @@ message DestinationFeatureSetting {
 message FeatureValueDestination {
   oneof destination {
     // Output in BigQuery format.
-    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri] in
-    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination] must refer to a table.
+    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
+    // in
+    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
+    // must refer to a table.
     BigQueryDestination bigquery_destination = 1;
 
     // Output in TFRecord format.
@@ -718,17 +755,16 @@ message FeatureValueDestination {
   }
 }
 
-// Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
-message ExportFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
+message ExportFeatureValuesResponse {}
 
-// Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
-message BatchReadFeatureValuesResponse {
+// Response message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
+message BatchReadFeatureValuesResponse {}
 
-}
-
-// Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
+// Request message for
+// [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
 message CreateEntityTypeRequest {
   // Required. The resource name of the Featurestore to create EntityTypes.
   // Format:
@@ -743,8 +779,8 @@ message CreateEntityTypeRequest {
   // The EntityType to create.
   EntityType entity_type = 2;
 
-  // Required. The ID to use for the EntityType, which will become the final component of
-  // the EntityType's resource name.
+  // Required. The ID to use for the EntityType, which will become the final
+  // component of the EntityType's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -753,7 +789,8 @@ message CreateEntityTypeRequest {
   string entity_type_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
+// Request message for
+// [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
 message GetEntityTypeRequest {
   // Required. The name of the EntityType resource.
   // Format:
@@ -766,7 +803,8 @@ message GetEntityTypeRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+// Request message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesRequest {
   // Required. The resource name of the Featurestore to list EntityTypes.
   // Format:
@@ -805,12 +843,12 @@ message ListEntityTypesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -827,22 +865,24 @@ message ListEntityTypesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
+// Response message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesResponse {
   // The EntityTypes matching the request.
   repeated EntityType entity_types = 1;
 
-  // A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
+// Request message for
+// [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
 message UpdateEntityTypeRequest {
-  // Required. The EntityType's `name` field is used to identify the EntityType to be
-  // updated.
-  // Format:
+  // Required. The EntityType's `name` field is used to identify the EntityType
+  // to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   EntityType entity_type = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -865,6 +905,7 @@ message UpdateEntityTypeRequest {
   //   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
   //   * `monitoring_config.numerical_threshold_config.value`
   //   * `monitoring_config.categorical_threshold_config.value`
+  //   * `offline_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
@@ -885,7 +926,8 @@ message DeleteEntityTypeRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
+// Request message for
+// [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
 message CreateFeatureRequest {
   // Required. The resource name of the EntityType to create a Feature.
   // Format:
@@ -900,8 +942,8 @@ message CreateFeatureRequest {
   // Required. The Feature to create.
   Feature feature = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Feature, which will become the final component of
-  // the Feature's resource name.
+  // Required. The ID to use for the Feature, which will become the final
+  // component of the Feature's resource name.
   //
   // This value may be up to 128 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -910,10 +952,11 @@ message CreateFeatureRequest {
   string feature_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+// Request message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesRequest {
-  // Required. The resource name of the EntityType to create the batch of Features under.
-  // Format:
+  // Required. The resource name of the EntityType to create the batch of
+  // Features under. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -922,20 +965,24 @@ message BatchCreateFeaturesRequest {
     }
   ];
 
-  // Required. The request message specifying the Features to create. All Features must be
-  // created under the same parent EntityType. The `parent` field in each child
-  // request message can be omitted. If `parent` is set in a child request, then
-  // the value must match the `parent` value in this request message.
-  repeated CreateFeatureRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the Features to create. All
+  // Features must be created under the same parent EntityType. The `parent`
+  // field in each child request message can be omitted. If `parent` is set in a
+  // child request, then the value must match the `parent` value in this request
+  // message.
+  repeated CreateFeatureRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
+// Response message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesResponse {
   // The Features created.
   repeated Feature features = 1;
 }
 
-// Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
+// Request message for
+// [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
 message GetFeatureRequest {
   // Required. The name of the Feature resource.
   // Format:
@@ -948,7 +995,8 @@ message GetFeatureRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+// Request message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
 message ListFeaturesRequest {
   // Required. The resource name of the Location to list Features.
   // Format:
@@ -989,12 +1037,12 @@ message ListFeaturesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -1010,25 +1058,30 @@ message ListFeaturesRequest {
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 6;
 
-  // If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
+  // If set, return the most recent
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
   // of stats for each Feature in response. Valid value is [0, 10]. If number of
-  // stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count], return all
-  // existing stats.
+  // stats exists <
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count],
+  // return all existing stats.
   int32 latest_stats_count = 7;
 }
 
-// Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
+// Response message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
 message ListFeaturesResponse {
   // The Features matching the request.
   repeated Feature features = 1;
 
-  // A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+// Request message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesRequest {
   // Required. The resource name of the Location to search Features.
   // Format:
@@ -1108,16 +1161,17 @@ message SearchFeaturesRequest {
   int32 page_size = 4;
 
   // A page token, received from a previous
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures], except `page_size`, must
-  // match the call that provided the page token.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
+  // except `page_size`, must match the call that provided the page token.
   string page_token = 5;
 }
 
-// Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
+// Response message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesResponse {
   // The Features matching the request.
   //
@@ -1130,13 +1184,15 @@ message SearchFeaturesResponse {
   //  * `update_time`
   repeated Feature features = 1;
 
-  // A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
+// Request message for
+// [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
 message UpdateFeatureRequest {
   // Required. The Feature's `name` field is used to identify the Feature to be
   // updated.
@@ -1160,7 +1216,8 @@ message UpdateFeatureRequest {
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
+// Request message for
+// [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
 message DeleteFeatureRequest {
   // Required. The name of the Features to be deleted.
   // Format:
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
index 77dc1ec534bf..0178d6d53f62 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
@@ -66,8 +66,8 @@ message HyperparameterTuningJob {
   // before the whole job fails.
   int32 max_failed_trial_count = 7;
 
-  // Required. The spec of a trial job. The same spec applies to the CustomJobs created
-  // in all the trials.
+  // Required. The spec of a trial job. The same spec applies to the CustomJobs
+  // created in all the trials.
   CustomJobSpec trial_job_spec = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Trials of the HyperparameterTuningJob.
@@ -77,18 +77,24 @@ message HyperparameterTuningJob {
   JobState state = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the HyperparameterTuningJob was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob for the first time
+  // entered the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob entered any of the
+  // following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+  // `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob was most recently
+  // updated.
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is JOB_STATE_FAILED or
   // JOB_STATE_CANCELLED.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index.proto
index 28022afce46b..c50e5d48f8cf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index.proto
@@ -64,10 +64,10 @@ message Index {
   // The description of the Index.
   string description = 3;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Index, that is specific to it. Unset if the Index
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Index, that is specific to it. Unset if
+  // the Index does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -75,13 +75,15 @@ message Index {
   string metadata_schema_uri = 4 [(google.api.field_behavior) = IMMUTABLE];
 
   // An additional information about the Index; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
+  // be found in
+  // [metadata_schema][google.cloud.aiplatform.v1.Index.metadata_schema_uri].
   google.protobuf.Value metadata = 6;
 
   // Output only. The pointers to DeployedIndexes created from this Index.
   // An Index can be only deleted if all its DeployedIndexes had been undeployed
   // first.
-  repeated DeployedIndexRef deployed_indexes = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndexRef deployed_indexes = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -97,24 +99,27 @@ message Index {
   map labels = 9;
 
   // Output only. Timestamp when this Index was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Index was most recently updated.
   // This also includes any update to the contents of the Index.
   // Note that Operations working on this Index may have their
   // [Operations.metadata.generic_metadata.update_time]
-  // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little after the value of this
-  // timestamp, yet that does not mean their results are not already reflected
-  // in the Index. Result of any successfully completed Operation on the Index
-  // is reflected in it.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time] a little
+  // after the value of this timestamp, yet that does not mean their results are
+  // not already reflected in the Index. Result of any successfully completed
+  // Operation on the Index is reflected in it.
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Stats of the index resource.
   IndexStats index_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-  // used by default.
-  IndexUpdateMethod index_update_method = 16 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. The update method to use with this Index. If not set,
+  // BATCH_UPDATE will be used by default.
+  IndexUpdateMethod index_update_method = 16
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A datapoint of Index.
@@ -151,14 +156,14 @@ message IndexDatapoint {
   // [NearestNeighborSearchConfig.dimensions].
   repeated float feature_vector = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-  // where boolean rule are used to filter the subset of the database eligible
-  // for matching.
-  // See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+  // Optional. List of Restrict of the datapoint, used to perform "restricted
+  // searches" where boolean rule are used to filter the subset of the database
+  // eligible for matching. See:
+  // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
   repeated Restriction restricts = 4 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-  // crowding can be configured during query.
+  // Optional. CrowdingTag of the datapoint, the number of neighbors to return
+  // in each crowding can be configured during query.
   CrowdingTag crowding_tag = 5 [(google.api.field_behavior) = OPTIONAL];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint.proto
index a5e36557e772..8aed1b0f5571 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint.proto
@@ -49,7 +49,8 @@ message IndexEndpoint {
   string description = 3;
 
   // Output only. The indexes deployed in this endpoint.
-  repeated DeployedIndex deployed_indexes = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndex deployed_indexes = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -65,13 +66,15 @@ message IndexEndpoint {
   map labels = 6;
 
   // Output only. Timestamp when this IndexEndpoint was created.
-  google.protobuf.Timestamp create_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this IndexEndpoint was last updated.
   // This timestamp is not updated when the endpoint's DeployedIndexes are
   // updated, e.g. due to updates of the original Indexes they are the
   // deployments of.
-  google.protobuf.Timestamp update_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The full name of the Google Compute Engine
   // [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks)
@@ -90,15 +93,15 @@ message IndexEndpoint {
   // network name.
   string network = 9 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
+  // Optional. Deprecated: If true, expose the IndexEndpoint via private service
+  // connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1.IndexEndpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1.IndexEndpoint.enable_private_service_connect],
   // can be set.
-  bool enable_private_service_connect = 10 [
-    deprecated = true,
-    (google.api.field_behavior) = OPTIONAL
-  ];
+  bool enable_private_service_connect = 10
+      [deprecated = true, (google.api.field_behavior) = OPTIONAL];
 }
 
 // A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
@@ -123,18 +126,22 @@ message DeployedIndex {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedIndex was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Provides paths for users to send requests directly to the deployed index
-  // services running on Cloud via private services access. This field is
-  // populated if [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
-  IndexPrivateEndpoints private_endpoints = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. The DeployedIndex may depend on various data on its original Index.
-  // Additionally when certain changes to the original Index are being done
-  // (e.g. when what the Index contains is being changed) the DeployedIndex may
-  // be asynchronously updated in the background to reflect this changes.
-  // If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Provides paths for users to send requests directly to the
+  // deployed index services running on Cloud via private services access. This
+  // field is populated if
+  // [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
+  IndexPrivateEndpoints private_endpoints = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The DeployedIndex may depend on various data on its original
+  // Index. Additionally when certain changes to the original Index are being
+  // done (e.g. when what the Index contains is being changed) the DeployedIndex
+  // may be asynchronously updated in the background to reflect this changes. If
+  // this timestamp's value is at least the
+  // [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
   // original Index, it means that this DeployedIndex and the original Index are
   // in sync. If this timestamp is older, then to see which updates this
   // DeployedIndex already contains (and which not), one must
@@ -144,30 +151,41 @@ message DeployedIndex {
   // [Operations.metadata.generic_metadata.update_time]
   // [google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
   // equal or before this sync time are contained in this DeployedIndex.
-  google.protobuf.Timestamp index_sync_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp index_sync_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. A description of resources that the DeployedIndex uses, which to large
-  // degree are decided by Vertex AI, and optionally allows only a modest
+  // Optional. A description of resources that the DeployedIndex uses, which to
+  // large degree are decided by Vertex AI, and optionally allows only a modest
   // additional configuration.
   // If min_replica_count is not set, the default value is 2 (we don't provide
   // SLA when min_replica_count=1). If max_replica_count is not set, the
   // default value is min_replica_count. The max allowed replica count is
   // 1000.
-  AutomaticResources automatic_resources = 7 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. A description of resources that are dedicated to the DeployedIndex, and
-  // that need a higher degree of manual configuration.
-  // If min_replica_count is not set, the default value is 2 (we don't provide
-  // SLA when min_replica_count=1). If max_replica_count is not set, the
-  // default value is min_replica_count. The max allowed replica count is
-  // 1000.
+  AutomaticResources automatic_resources = 7
+      [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. A description of resources that are dedicated to the
+  // DeployedIndex, and that need a higher degree of manual configuration. If
+  // min_replica_count is not set, the default value is 2 (we don't provide SLA
+  // when min_replica_count=1). If max_replica_count is not set, the default
+  // value is min_replica_count. The max allowed replica count is 1000.
+  //
+  // Available machine types for SMALL shard:
+  // e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+  //
+  // Available machine types for MEDIUM shard:
+  // e2-standard-16 and all machine types available for LARGE shard.
+  //
+  // Available machine types for LARGE shard:
+  // e2-standard-32, e2-highmem-16, n2d-standard-32.
   //
-  // Available machine types:
-  // n1-standard-16
-  // n1-standard-32
-  DedicatedResources dedicated_resources = 16 [(google.api.field_behavior) = OPTIONAL];
+  // n1-standard-16 and n1-standard-32 are still available, but we recommend
+  // e2-standard-16 and e2-standard-32 for cost efficiency.
+  DedicatedResources dedicated_resources = 16
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+  // Optional. If true, private endpoint's access logs are sent to StackDriver
+  // Logging.
   //
   // These logs are like standard server access logs, containing
   // information like timestamp and latency for each MatchRequest.
@@ -178,7 +196,8 @@ message DeployedIndex {
   bool enable_access_logging = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. If set, the authentication is enabled for the private endpoint.
-  DeployedIndexAuthConfig deployed_index_auth_config = 9 [(google.api.field_behavior) = OPTIONAL];
+  DeployedIndexAuthConfig deployed_index_auth_config = 9
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. A list of reserved ip ranges under the VPC network that can be
   // used for this DeployedIndex.
@@ -190,7 +209,8 @@ message DeployedIndex {
   // The value sohuld be the name of the address
   // (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
   // Example: 'vertex-ai-ip-range'.
-  repeated string reserved_ip_ranges = 10 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 10
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The deployment group can be no longer than 64 characters (eg:
   // 'test', 'prod'). If not set, we will use the 'default' deployment group.
@@ -239,7 +259,7 @@ message IndexPrivateEndpoints {
   // Output only. The ip address used to send match gRPC requests.
   string match_grpc_address = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint_service.proto
index 8acdb5bc6310..72dcb7566ca3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_endpoint_service.proto
@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's IndexEndpoints.
 service IndexEndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an IndexEndpoint.
-  rpc CreateIndexEndpoint(CreateIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateIndexEndpoint(CreateIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/indexEndpoints"
       body: "index_endpoint"
@@ -60,7 +62,8 @@ service IndexEndpointService {
   }
 
   // Lists IndexEndpoints in a Location.
-  rpc ListIndexEndpoints(ListIndexEndpointsRequest) returns (ListIndexEndpointsResponse) {
+  rpc ListIndexEndpoints(ListIndexEndpointsRequest)
+      returns (ListIndexEndpointsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/indexEndpoints"
     };
@@ -77,7 +80,8 @@ service IndexEndpointService {
   }
 
   // Deletes an IndexEndpoint.
-  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/indexEndpoints/*}"
     };
@@ -105,7 +109,8 @@ service IndexEndpointService {
 
   // Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
   // and freeing all resources it's using.
-  rpc UndeployIndex(UndeployIndexRequest) returns (google.longrunning.Operation) {
+  rpc UndeployIndex(UndeployIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:undeployIndex"
       body: "*"
@@ -118,7 +123,8 @@ service IndexEndpointService {
   }
 
   // Update an existing DeployedIndex under an IndexEndpoint.
-  rpc MutateDeployedIndex(MutateDeployedIndexRequest) returns (google.longrunning.Operation) {
+  rpc MutateDeployedIndex(MutateDeployedIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:mutateDeployedIndex"
       body: "deployed_index"
@@ -131,7 +137,8 @@ service IndexEndpointService {
   }
 }
 
-// Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
 message CreateIndexEndpointRequest {
   // Required. The resource name of the Location to create the IndexEndpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -153,7 +160,8 @@ message CreateIndexEndpointOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
+// Request message for
+// [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
 message GetIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource.
   // Format:
@@ -166,10 +174,11 @@ message GetIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+// Request message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsRequest {
-  // Required. The resource name of the Location from which to list the IndexEndpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // IndexEndpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -177,8 +186,8 @@ message ListIndexEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `index_endpoint` supports = and !=. `index_endpoint` represents the
   //      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
@@ -202,34 +211,44 @@ message ListIndexEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token] of the previous
-  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints] call.
+  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
+  // of the previous
+  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
+// Response message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsResponse {
   // List of IndexEndpoints in the requested page.
   repeated IndexEndpoint index_endpoints = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
 message UpdateIndexEndpointRequest {
   // Required. The IndexEndpoint which replaces the resource on the server.
   IndexEndpoint index_endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
+// Request message for
+// [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
 message DeleteIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource to be deleted.
   // Format:
@@ -242,10 +261,11 @@ message DeleteIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Request message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -258,13 +278,15 @@ message DeployIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Response message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexResponse {
   // The DeployedIndex that had been deployed in the IndexEndpoint.
   DeployedIndex deployed_index = 1;
 }
 
-// Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
 message DeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
@@ -273,10 +295,11 @@ message DeployIndexOperationMetadata {
   string deployed_index_id = 2;
 }
 
-// Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+// Request message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
 message UndeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource from which to undeploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -285,25 +308,27 @@ message UndeployIndexRequest {
     }
   ];
 
-  // Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+  // Required. The ID of the DeployedIndex to be undeployed from the
+  // IndexEndpoint.
   string deployed_index_id = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
-message UndeployIndexResponse {
+// Response message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+message UndeployIndexResponse {}
 
-}
-
-// Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
 message UndeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+// Request message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -318,7 +343,8 @@ message MutateDeployedIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
+// Response message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexResponse {
   // The DeployedIndex that had been updated in the IndexEndpoint.
   DeployedIndex deployed_index = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_service.proto
index 0f6c632567bf..bf323fa2b86f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/index_service.proto
@@ -36,7 +36,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for creating and managing Vertex AI's Index resources.
 service IndexService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Index.
   rpc CreateIndex(CreateIndexRequest) returns (google.longrunning.Operation) {
@@ -82,7 +83,8 @@ service IndexService {
 
   // Deletes an Index.
   // An Index can only be deleted when all its
-  // [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had been undeployed.
+  // [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
+  // been undeployed.
   rpc DeleteIndex(DeleteIndexRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/indexes/*}"
@@ -95,7 +97,8 @@ service IndexService {
   }
 
   // Add/update Datapoints into an Index.
-  rpc UpsertDatapoints(UpsertDatapointsRequest) returns (UpsertDatapointsResponse) {
+  rpc UpsertDatapoints(UpsertDatapointsRequest)
+      returns (UpsertDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1/{index=projects/*/locations/*/indexes/*}:upsertDatapoints"
       body: "*"
@@ -103,7 +106,8 @@ service IndexService {
   }
 
   // Remove Datapoints from an Index.
-  rpc RemoveDatapoints(RemoveDatapointsRequest) returns (RemoveDatapointsResponse) {
+  rpc RemoveDatapoints(RemoveDatapointsRequest)
+      returns (RemoveDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1/{index=projects/*/locations/*/indexes/*}:removeDatapoints"
       body: "*"
@@ -111,7 +115,8 @@ service IndexService {
   }
 }
 
-// Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+// Request message for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
 message CreateIndexRequest {
   // Required. The resource name of the Location to create the Index in.
   // Format: `projects/{project}/locations/{location}`
@@ -126,16 +131,19 @@ message CreateIndexRequest {
   Index index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
+// Runtime operation information for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
 message CreateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
+// Request message for
+// [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
 message GetIndexRequest {
   // Required. The name of the Index resource.
   // Format:
@@ -148,7 +156,8 @@ message GetIndexRequest {
   ];
 }
 
-// Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+// Request message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
 message ListIndexesRequest {
   // Required. The resource name of the Location from which to list the Indexes.
   // Format: `projects/{project}/locations/{location}`
@@ -167,44 +176,54 @@ message ListIndexesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token] of the previous
-  // [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes] call.
+  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
+  // of the previous
+  // [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
+// Response message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
 message ListIndexesResponse {
   // List of indexes in the requested page.
   repeated Index indexes = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+// Request message for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
 message UpdateIndexRequest {
   // Required. The Index which updates the resource on the server.
   Index index = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
+// Runtime operation information for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
 message UpdateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
+// Request message for
+// [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
 message DeleteIndexRequest {
   // Required. The name of the Index resource to be deleted.
   // Format:
@@ -217,7 +236,8 @@ message DeleteIndexRequest {
   ];
 }
 
-// Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+// Request message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
 message UpsertDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -233,12 +253,12 @@ message UpsertDatapointsRequest {
   repeated IndexDatapoint datapoints = 2;
 }
 
-// Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
-message UpsertDatapointsResponse {
+// Response message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
+message UpsertDatapointsResponse {}
 
-}
-
-// Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+// Request message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
 message RemoveDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -254,10 +274,9 @@ message RemoveDatapointsRequest {
   repeated string datapoint_ids = 2;
 }
 
-// Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
-message RemoveDatapointsResponse {
-
-}
+// Response message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
+message RemoveDatapointsResponse {}
 
 // Runtime operation metadata with regard to Matching Engine Index.
 message NearestNeighborSearchOperationMetadata {
@@ -325,7 +344,8 @@ message NearestNeighborSearchOperationMetadata {
 
   // The validation stats of the content (per file) to be inserted or
   // updated on the Matching Engine Index resource. Populated if
-  // contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
+  // contentsDeltaUri is provided as part of
+  // [Index.metadata][google.cloud.aiplatform.v1.Index.metadata]. Please note
   // that, currently for those files that are broken or has unsupported file
   // format, we will not have the stats for those files.
   repeated ContentValidationStats content_validation_stats = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
index 43d5fdc63056..676c3a891fd4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
@@ -48,7 +48,8 @@ message GcsSource {
 
 // The Google Cloud Storage location where the output is to be written to.
 message GcsDestination {
-  // Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+  // Required. Google Cloud Storage URI to output directory. If the uri doesn't
+  // end with
   // '/', a '/' will be automatically appended. The directory is created if it
   // doesn't exist.
   string output_uri_prefix = 1 [(google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
index cf9e9abd21a7..cf4abe14947b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
@@ -42,7 +42,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for creating and managing Vertex AI's jobs.
 service JobService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a CustomJob. A created CustomJob right away
   // will be attempted to be run.
@@ -71,7 +72,8 @@ service JobService {
   }
 
   // Deletes a CustomJob.
-  rpc DeleteCustomJob(DeleteCustomJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteCustomJob(DeleteCustomJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/customJobs/*}"
     };
@@ -85,12 +87,15 @@ service JobService {
   // Cancels a CustomJob.
   // Starts asynchronous cancellation on the CustomJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the CustomJob is not deleted; instead it becomes a job with
-  // a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+  // a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
+  // a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+  // `Code.CANCELLED`, and
+  // [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
   // `CANCELLED`.
   rpc CancelCustomJob(CancelCustomJobRequest) returns (google.protobuf.Empty) {
     option (google.api.http) = {
@@ -101,7 +106,8 @@ service JobService {
   }
 
   // Creates a DataLabelingJob.
-  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest) returns (DataLabelingJob) {
+  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest)
+      returns (DataLabelingJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
       body: "data_labeling_job"
@@ -118,7 +124,8 @@ service JobService {
   }
 
   // Lists DataLabelingJobs in a Location.
-  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest) returns (ListDataLabelingJobsResponse) {
+  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest)
+      returns (ListDataLabelingJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
     };
@@ -126,7 +133,8 @@ service JobService {
   }
 
   // Deletes a DataLabelingJob.
-  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}"
     };
@@ -138,7 +146,8 @@ service JobService {
   }
 
   // Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
-  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest) returns (google.protobuf.Empty) {
+  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}:cancel"
       body: "*"
@@ -147,7 +156,8 @@ service JobService {
   }
 
   // Creates a HyperparameterTuningJob
-  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
       body: "hyperparameter_tuning_job"
@@ -156,7 +166,8 @@ service JobService {
   }
 
   // Gets a HyperparameterTuningJob
-  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -164,7 +175,8 @@ service JobService {
   }
 
   // Lists HyperparameterTuningJobs in a Location.
-  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest) returns (ListHyperparameterTuningJobsResponse) {
+  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest)
+      returns (ListHyperparameterTuningJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
     };
@@ -172,7 +184,8 @@ service JobService {
   }
 
   // Deletes a HyperparameterTuningJob.
-  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -186,14 +199,19 @@ service JobService {
   // Cancels a HyperparameterTuningJob.
   // Starts asynchronous cancellation on the HyperparameterTuningJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the HyperparameterTuningJob is not deleted; instead it becomes a job with
-  // a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
-  // of 1, corresponding to `Code.CANCELLED`, and
-  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
-  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest) returns (google.protobuf.Empty) {
+  // a
+  // [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
+  // is set to `CANCELLED`.
+  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}:cancel"
       body: "*"
@@ -203,7 +221,8 @@ service JobService {
 
   // Creates a BatchPredictionJob. A BatchPredictionJob once created will
   // right away be attempted to start.
-  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
       body: "batch_prediction_job"
@@ -212,7 +231,8 @@ service JobService {
   }
 
   // Gets a BatchPredictionJob
-  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -220,7 +240,8 @@ service JobService {
   }
 
   // Lists BatchPredictionJobs in a Location.
-  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest) returns (ListBatchPredictionJobsResponse) {
+  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest)
+      returns (ListBatchPredictionJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
     };
@@ -229,7 +250,8 @@ service JobService {
 
   // Deletes a BatchPredictionJob. Can only be called on jobs that already
   // finished.
-  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -244,13 +266,16 @@ service JobService {
   //
   // Starts asynchronous cancellation on the BatchPredictionJob. The server
   // makes the best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On a successful cancellation,
   // the BatchPredictionJob is not deleted;instead its
-  // [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
-  // outputted by the job are not deleted.
-  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest) returns (google.protobuf.Empty) {
+  // [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
+  // is set to `CANCELLED`. Any files already outputted by the job are not
+  // deleted.
+  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}:cancel"
       body: "*"
@@ -260,25 +285,32 @@ service JobService {
 
   // Creates a ModelDeploymentMonitoringJob. It will run periodically on a
   // configured interval.
-  rpc CreateModelDeploymentMonitoringJob(CreateModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc CreateModelDeploymentMonitoringJob(
+      CreateModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "parent,model_deployment_monitoring_job";
+    option (google.api.method_signature) =
+        "parent,model_deployment_monitoring_job";
   }
 
   // Searches Model Monitoring Statistics generated within a given time window.
-  rpc SearchModelDeploymentMonitoringStatsAnomalies(SearchModelDeploymentMonitoringStatsAnomaliesRequest) returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
+  rpc SearchModelDeploymentMonitoringStatsAnomalies(
+      SearchModelDeploymentMonitoringStatsAnomaliesRequest)
+      returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
     option (google.api.http) = {
       post: "/v1/{model_deployment_monitoring_job=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:searchModelDeploymentMonitoringStatsAnomalies"
       body: "*"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,deployed_model_id";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,deployed_model_id";
   }
 
   // Gets a ModelDeploymentMonitoringJob.
-  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -286,7 +318,9 @@ service JobService {
   }
 
   // Lists ModelDeploymentMonitoringJobs in a Location.
-  rpc ListModelDeploymentMonitoringJobs(ListModelDeploymentMonitoringJobsRequest) returns (ListModelDeploymentMonitoringJobsResponse) {
+  rpc ListModelDeploymentMonitoringJobs(
+      ListModelDeploymentMonitoringJobsRequest)
+      returns (ListModelDeploymentMonitoringJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
     };
@@ -294,12 +328,15 @@ service JobService {
   }
 
   // Updates a ModelDeploymentMonitoringJob.
-  rpc UpdateModelDeploymentMonitoringJob(UpdateModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc UpdateModelDeploymentMonitoringJob(
+      UpdateModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{model_deployment_monitoring_job.name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,update_mask";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,update_mask";
     option (google.longrunning.operation_info) = {
       response_type: "ModelDeploymentMonitoringJob"
       metadata_type: "UpdateModelDeploymentMonitoringJobOperationMetadata"
@@ -307,7 +344,9 @@ service JobService {
   }
 
   // Deletes a ModelDeploymentMonitoringJob.
-  rpc DeleteModelDeploymentMonitoringJob(DeleteModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteModelDeploymentMonitoringJob(
+      DeleteModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -320,8 +359,11 @@ service JobService {
 
   // Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
   // makes a best effort to cancel the job. Will mark
-  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
-  rpc PauseModelDeploymentMonitoringJob(PauseModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
+  // to 'PAUSED'.
+  rpc PauseModelDeploymentMonitoringJob(
+      PauseModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:pause"
       body: "*"
@@ -332,7 +374,9 @@ service JobService {
   // Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
   // next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
   // resumed.
-  rpc ResumeModelDeploymentMonitoringJob(ResumeModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  rpc ResumeModelDeploymentMonitoringJob(
+      ResumeModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:resume"
       body: "*"
@@ -341,7 +385,8 @@ service JobService {
   }
 }
 
-// Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+// Request message for
+// [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
 message CreateCustomJobRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -356,7 +401,8 @@ message CreateCustomJobRequest {
   CustomJob custom_job = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+// Request message for
+// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
 message GetCustomJobRequest {
   // Required. The name of the CustomJob resource.
   // Format:
@@ -369,7 +415,8 @@ message GetCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+// Request message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
 message ListCustomJobsRequest {
   // Required. The resource name of the Location to list the CustomJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -407,25 +454,31 @@ message ListCustomJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
-  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+// Response message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
 message ListCustomJobsResponse {
   // List of CustomJobs in the requested page.
   repeated CustomJob custom_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+// Request message for
+// [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
 message DeleteCustomJobRequest {
   // Required. The name of the CustomJob resource to be deleted.
   // Format:
@@ -438,7 +491,8 @@ message DeleteCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+// Request message for
+// [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
 message CancelCustomJobRequest {
   // Required. The name of the CustomJob to cancel.
   // Format:
@@ -451,7 +505,8 @@ message CancelCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
+// Request message for
+// [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
 message CreateDataLabelingJobRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -463,10 +518,12 @@ message CreateDataLabelingJobRequest {
   ];
 
   // Required. The DataLabelingJob to create.
-  DataLabelingJob data_labeling_job = 2 [(google.api.field_behavior) = REQUIRED];
+  DataLabelingJob data_labeling_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
+// Request message for
+// [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
 message GetDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -479,7 +536,8 @@ message GetDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+// Request message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -530,7 +588,8 @@ message ListDataLabelingJobsRequest {
   string order_by = 6;
 }
 
-// Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+// Response message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsResponse {
   // A list of DataLabelingJobs that matches the specified filter in the
   // request.
@@ -540,7 +599,8 @@ message ListDataLabelingJobsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+// Request message for
+// [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
 message DeleteDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob to be deleted.
   // Format:
@@ -553,7 +613,8 @@ message DeleteDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
+// Request message for
+// [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
 message CancelDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -566,10 +627,12 @@ message CancelDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+// Request message for
+// [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
 message CreateHyperparameterTuningJobRequest {
-  // Required. The resource name of the Location to create the HyperparameterTuningJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // HyperparameterTuningJob in. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -578,10 +641,12 @@ message CreateHyperparameterTuningJobRequest {
   ];
 
   // Required. The HyperparameterTuningJob to create.
-  HyperparameterTuningJob hyperparameter_tuning_job = 2 [(google.api.field_behavior) = REQUIRED];
+  HyperparameterTuningJob hyperparameter_tuning_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+// Request message for
+// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
 message GetHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource.
   // Format:
@@ -594,10 +659,12 @@ message GetHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+// Request message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
 message ListHyperparameterTuningJobsRequest {
-  // Required. The resource name of the Location to list the HyperparameterTuningJobs
-  // from. Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the
+  // HyperparameterTuningJobs from. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -632,27 +699,33 @@ message ListHyperparameterTuningJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+// Response message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
 message ListHyperparameterTuningJobsResponse {
   // List of HyperparameterTuningJobs in the requested page.
-  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]
+  // of the jobs will be not be returned.
   repeated HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+// Request message for
+// [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
 message DeleteHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource to be deleted.
   // Format:
@@ -665,7 +738,8 @@ message DeleteHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+// Request message for
+// [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
 message CancelHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob to cancel.
   // Format:
@@ -678,10 +752,11 @@ message CancelHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+// Request message for
+// [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
 message CreateBatchPredictionJobRequest {
-  // Required. The resource name of the Location to create the BatchPredictionJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -690,10 +765,12 @@ message CreateBatchPredictionJobRequest {
   ];
 
   // Required. The BatchPredictionJob to create.
-  BatchPredictionJob batch_prediction_job = 2 [(google.api.field_behavior) = REQUIRED];
+  BatchPredictionJob batch_prediction_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+// Request message for
+// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
 message GetBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource.
   // Format:
@@ -706,7 +783,8 @@ message GetBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+// Request message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
 message ListBatchPredictionJobsRequest {
   // Required. The resource name of the Location to list the BatchPredictionJobs
   // from. Format: `projects/{project}/locations/{location}`
@@ -745,26 +823,31 @@ message ListBatchPredictionJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+// Response message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
 message ListBatchPredictionJobsResponse {
   // List of BatchPredictionJobs in the requested page.
   repeated BatchPredictionJob batch_prediction_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+// Request message for
+// [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
 message DeleteBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource to be deleted.
   // Format:
@@ -777,7 +860,8 @@ message DeleteBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+// Request message for
+// [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
 message CancelBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob to cancel.
   // Format:
@@ -803,7 +887,8 @@ message CreateModelDeploymentMonitoringJobRequest {
   ];
 
   // Required. The ModelDeploymentMonitoringJob to create
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
@@ -814,11 +899,12 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
     ModelDeploymentMonitoringObjectiveType type = 1;
 
     // If set, all attribution scores between
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-    // fetched, and page token doesn't take effect in this case.
-    // Only used to retrieve attribution score for the top Features which has
-    // the highest attribution score in the latest monitoring run.
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+    // and
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+    // are fetched, and page token doesn't take effect in this case. Only used
+    // to retrieve attribution score for the top Features which has the highest
+    // attribution score in the latest monitoring run.
     int32 top_feature_count = 4;
   }
 
@@ -843,7 +929,8 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
   string feature_display_name = 3;
 
   // Required. Objectives of the stats to retrieve.
-  repeated StatsAnomaliesObjective objectives = 4 [(google.api.field_behavior) = REQUIRED];
+  repeated StatsAnomaliesObjective objectives = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // The standard list page size.
   int32 page_size = 5;
@@ -949,18 +1036,18 @@ message ListModelDeploymentMonitoringJobsResponse {
 // Request message for
 // [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
 message UpdateModelDeploymentMonitoringJobRequest {
-  // Required. The model monitoring configuration which replaces the resource on the
-  // server.
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // Required. The update mask is used to specify the fields to be overwritten in the
-  // ModelDeploymentMonitoringJob resource by the update.
-  // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then only the non-empty fields present in the
-  // request will be overwritten. Set the update_mask to `*` to override all
-  // fields.
-  // For the objective config, the user can either provide the update mask for
+  // Required. The model monitoring configuration which replaces the resource on
+  // the server.
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1
+      [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask is used to specify the fields to be overwritten
+  // in the ModelDeploymentMonitoringJob resource by the update. The fields
+  // specified in the update_mask are relative to the resource, not the full
+  // request. A field will be overwritten if it is in the mask. If the user does
+  // not provide a mask then only the non-empty fields present in the request
+  // will be overwritten. Set the update_mask to `*` to override all fields. For
+  // the objective config, the user can either provide the update mask for
   // model_deployment_monitoring_objective_configs or any combination of its
   // nested fields, such as:
   // model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -980,7 +1067,8 @@ message UpdateModelDeploymentMonitoringJobRequest {
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
   //   * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
index 9bcf37c1613f..23b93f8e4641 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
@@ -37,14 +37,18 @@ message MachineSpec {
   // See the [list of machine types supported for custom
   // training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
   //
-  // For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
-  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
-  // [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+  // For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is
+  // optional, and the default value is `n1-standard-2`. For
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
+  // part of [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this
+  // field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The type of accelerator(s) that may be attached to the machine as per
+  // Immutable. The type of accelerator(s) that may be attached to the machine
+  // as per
   // [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
-  AcceleratorType accelerator_type = 2 [(google.api.field_behavior) = IMMUTABLE];
+  AcceleratorType accelerator_type = 2
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // The number of accelerators to attach to the machine.
   int32 accelerator_count = 3;
@@ -53,14 +57,16 @@ message MachineSpec {
 // A description of resources that are dedicated to a DeployedModel, and
 // that need a higher degree of manual configuration.
 message DedicatedResources {
-  // Required. Immutable. The specification of a single machine used by the prediction.
+  // Required. Immutable. The specification of a single machine used by the
+  // prediction.
   MachineSpec machine_spec = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-  // deployed on. This value must be greater than or equal to 1.
+  // Required. Immutable. The minimum number of machine replicas this
+  // DeployedModel will be always deployed on. This value must be greater than
+  // or equal to 1.
   //
   // If traffic against the DeployedModel increases, it may dynamically be
   // deployed onto more replicas, and as traffic decreases, some of these extra
@@ -70,14 +76,15 @@ message DedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
-  // default value.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, will use
+  // [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
+  // as the default value.
   //
   // The value of this field impacts the charge against Vertex CPU and GPU
   // quotas. Specifically, you will be charged for (max_replica_count *
@@ -90,44 +97,49 @@ message DedicatedResources {
   // target value (default to 60 if not set). At most one entry is allowed per
   // metric.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-  // above 0, the autoscaling will be based on both CPU utilization and
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+  // is above 0, the autoscaling will be based on both CPU utilization and
   // accelerator's duty cycle metrics and scale up when either metrics exceeds
   // its target value while scale down if both metrics are under their target
   // value. The default target value is 60 for both metrics.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
-  // 0, the autoscaling will be based on CPU utilization metric only with
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
+  // is 0, the autoscaling will be based on CPU utilization metric only with
   // default target value 60 if not explicitly set.
   //
   // For example, in the case of Online Prediction, if you want to override
   // target CPU utilization to 80, you should set
   // [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
   // to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target] to `80`.
-  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4 [(google.api.field_behavior) = IMMUTABLE];
+  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
+  // to `80`.
+  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A description of resources that to large degree are decided by Vertex AI,
 // and require only a modest additional configuration.
 // Each Model supporting these resources documents its specific guidelines.
 message AutomaticResources {
-  // Immutable. The minimum number of replicas this DeployedModel will be always deployed
-  // on. If traffic against it increases, it may dynamically be deployed onto
-  // more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
-  // of these extra replicas may be freed.
-  // If the requested value is too large, the deployment will error.
+  // Immutable. The minimum number of replicas this DeployedModel will be always
+  // deployed on. If traffic against it increases, it may dynamically be
+  // deployed onto more replicas up to
+  // [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
+  // and as traffic decreases, some of these extra replicas may be freed. If the
+  // requested value is too large, the deployment will error.
   int32 min_replica_count = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, a no upper bound for scaling under heavy
-  // traffic will be assume, though Vertex AI may be unable to scale beyond
-  // certain replica number.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, a no upper bound for scaling under
+  // heavy traffic will be assume, though Vertex AI may be unable to scale
+  // beyond certain replica number.
   int32 max_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 }
 
@@ -140,21 +152,21 @@ message BatchDedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The number of machine replicas used at the start of the batch operation.
-  // If not set, Vertex AI decides starting number, not greater than
+  // Immutable. The number of machine replicas used at the start of the batch
+  // operation. If not set, Vertex AI decides starting number, not greater than
   // [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
   int32 starting_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of machine replicas the batch operation may be scaled
-  // to. The default value is 10.
+  // Immutable. The maximum number of machine replicas the batch operation may
+  // be scaled to. The default value is 10.
   int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // Statistics information about resource consumption.
 message ResourcesConsumed {
-  // Output only. The number of replica hours used. Note that many replicas may run in
-  // parallel, and additionally any given work may be queued for some time.
-  // Therefore this value is not strictly related to wall time.
+  // Output only. The number of replica hours used. Note that many replicas may
+  // run in parallel, and additionally any given work may be queued for some
+  // time. Therefore this value is not strictly related to wall time.
   double replica_hours = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
@@ -179,8 +191,8 @@ message NfsMount {
   // the source mount path in the form of `server:path`
   string path = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Destination mount path. The NFS will be mounted for the user under
-  // /mnt/nfs/
+  // Required. Destination mount path. The NFS will be mounted for the user
+  // under /mnt/nfs/
   string mount_point = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
index e469d45eb107..a32ccfac66a5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
@@ -28,11 +28,11 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 
 // Manual batch tuning parameters.
 message ManualBatchTuningParameters {
-  // Immutable. The number of the records (e.g. instances) of the operation given in
-  // each batch to a machine replica. Machine type, and size of a single
-  // record should be considered when setting this parameter, higher value
-  // speeds up the batch operation's execution, but too high value will result
-  // in a whole batch not fitting in a machine's memory, and the whole
+  // Immutable. The number of the records (e.g. instances) of the operation
+  // given in each batch to a machine replica. Machine type, and size of a
+  // single record should be considered when setting this parameter, higher
+  // value speeds up the batch operation's execution, but too high value will
+  // result in a whole batch not fitting in a machine's memory, and the whole
   // operation will fail.
   // The default value is 64.
   int32 batch_size = 1 [(google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_schema.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_schema.proto
index b00a1552979e..c82e6e1fb234 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_schema.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_schema.proto
@@ -58,9 +58,9 @@ message MetadataSchema {
   // allow to order/compare different versions. Example: 1.0.0, 1.0.1, etc.
   string schema_version = 2;
 
-  // Required. The raw YAML string representation of the MetadataSchema. The combination
-  // of [MetadataSchema.version] and the schema name given by `title` in
-  // [MetadataSchema.schema] must be unique within a MetadataStore.
+  // Required. The raw YAML string representation of the MetadataSchema. The
+  // combination of [MetadataSchema.version] and the schema name given by
+  // `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
   //
   // The schema is defined as an OpenAPI 3.0.2
   // [MetadataSchema
@@ -72,7 +72,8 @@ message MetadataSchema {
   MetadataSchemaType schema_type = 4;
 
   // Output only. Timestamp when this MetadataSchema was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Description of the Metadata Schema
   string description = 6;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_service.proto
index 683f8ebd9238..ae10562c1525 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_service.proto
@@ -42,15 +42,18 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // Service for reading and writing metadata entries.
 service MetadataService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Initializes a MetadataStore, including allocation of resources.
-  rpc CreateMetadataStore(CreateMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateMetadataStore(CreateMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/metadataStores"
       body: "metadata_store"
     };
-    option (google.api.method_signature) = "parent,metadata_store,metadata_store_id";
+    option (google.api.method_signature) =
+        "parent,metadata_store,metadata_store_id";
     option (google.longrunning.operation_info) = {
       response_type: "MetadataStore"
       metadata_type: "CreateMetadataStoreOperationMetadata"
@@ -66,7 +69,8 @@ service MetadataService {
   }
 
   // Lists MetadataStores for a Location.
-  rpc ListMetadataStores(ListMetadataStoresRequest) returns (ListMetadataStoresResponse) {
+  rpc ListMetadataStores(ListMetadataStoresRequest)
+      returns (ListMetadataStoresResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/metadataStores"
     };
@@ -75,7 +79,8 @@ service MetadataService {
 
   // Deletes a single MetadataStore and all its child resources (Artifacts,
   // Executions, and Contexts).
-  rpc DeleteMetadataStore(DeleteMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteMetadataStore(DeleteMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*}"
     };
@@ -121,7 +126,8 @@ service MetadataService {
   }
 
   // Deletes an Artifact.
-  rpc DeleteArtifact(DeleteArtifactRequest) returns (google.longrunning.Operation) {
+  rpc DeleteArtifact(DeleteArtifactRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}"
     };
@@ -133,7 +139,8 @@ service MetadataService {
   }
 
   // Purges Artifacts.
-  rpc PurgeArtifacts(PurgeArtifactsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeArtifacts(PurgeArtifactsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/artifacts:purge"
       body: "*"
@@ -180,7 +187,8 @@ service MetadataService {
   }
 
   // Deletes a stored Context.
-  rpc DeleteContext(DeleteContextRequest) returns (google.longrunning.Operation) {
+  rpc DeleteContext(DeleteContextRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}"
     };
@@ -192,7 +200,8 @@ service MetadataService {
   }
 
   // Purges Contexts.
-  rpc PurgeContexts(PurgeContextsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeContexts(PurgeContextsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/contexts:purge"
       body: "*"
@@ -207,7 +216,8 @@ service MetadataService {
   // Adds a set of Artifacts and Executions to a Context. If any of the
   // Artifacts or Executions have already been added to a Context, they are
   // simply skipped.
-  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest) returns (AddContextArtifactsAndExecutionsResponse) {
+  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest)
+      returns (AddContextArtifactsAndExecutionsResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextArtifactsAndExecutions"
       body: "*"
@@ -220,7 +230,8 @@ service MetadataService {
   // simply skipped. If this call would create a cycle or cause any Context to
   // have more than 10 parents, the request will fail with an INVALID_ARGUMENT
   // error.
-  rpc AddContextChildren(AddContextChildrenRequest) returns (AddContextChildrenResponse) {
+  rpc AddContextChildren(AddContextChildrenRequest)
+      returns (AddContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextChildren"
       body: "*"
@@ -231,7 +242,8 @@ service MetadataService {
   // Remove a set of children contexts from a parent Context. If any of the
   // child Contexts were NOT added to the parent Context, they are
   // simply skipped.
-  rpc RemoveContextChildren(RemoveContextChildrenRequest) returns (RemoveContextChildrenResponse) {
+  rpc RemoveContextChildren(RemoveContextChildrenRequest)
+      returns (RemoveContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:removeContextChildren"
       body: "*"
@@ -241,7 +253,8 @@ service MetadataService {
 
   // Retrieves Artifacts and Executions within the specified Context, connected
   // by Event edges and returned as a LineageSubgraph.
-  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:queryContextLineageSubgraph"
     };
@@ -283,7 +296,8 @@ service MetadataService {
   }
 
   // Deletes an Execution.
-  rpc DeleteExecution(DeleteExecutionRequest) returns (google.longrunning.Operation) {
+  rpc DeleteExecution(DeleteExecutionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}"
     };
@@ -295,7 +309,8 @@ service MetadataService {
   }
 
   // Purges Executions.
-  rpc PurgeExecutions(PurgeExecutionsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeExecutions(PurgeExecutionsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/executions:purge"
       body: "*"
@@ -311,7 +326,8 @@ service MetadataService {
   // Artifact was used as an input or output for an Execution. If an Event
   // already exists between the Execution and the Artifact, the Event is
   // skipped.
-  rpc AddExecutionEvents(AddExecutionEventsRequest) returns (AddExecutionEventsResponse) {
+  rpc AddExecutionEvents(AddExecutionEventsRequest)
+      returns (AddExecutionEventsResponse) {
     option (google.api.http) = {
       post: "/v1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:addExecutionEvents"
       body: "*"
@@ -322,7 +338,8 @@ service MetadataService {
   // Obtains the set of input and output Artifacts for this Execution, in the
   // form of LineageSubgraph that also contains the Execution and connecting
   // Events.
-  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest) returns (LineageSubgraph) {
+  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:queryExecutionInputsAndOutputs"
     };
@@ -330,12 +347,14 @@ service MetadataService {
   }
 
   // Creates a MetadataSchema.
-  rpc CreateMetadataSchema(CreateMetadataSchemaRequest) returns (MetadataSchema) {
+  rpc CreateMetadataSchema(CreateMetadataSchemaRequest)
+      returns (MetadataSchema) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
       body: "metadata_schema"
     };
-    option (google.api.method_signature) = "parent,metadata_schema,metadata_schema_id";
+    option (google.api.method_signature) =
+        "parent,metadata_schema,metadata_schema_id";
   }
 
   // Retrieves a specific MetadataSchema.
@@ -347,7 +366,8 @@ service MetadataService {
   }
 
   // Lists MetadataSchemas.
-  rpc ListMetadataSchemas(ListMetadataSchemasRequest) returns (ListMetadataSchemasResponse) {
+  rpc ListMetadataSchemas(ListMetadataSchemasRequest)
+      returns (ListMetadataSchemasResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
     };
@@ -356,7 +376,8 @@ service MetadataService {
 
   // Retrieves lineage of an Artifact represented through Artifacts and
   // Executions connected by Event edges and returned as a LineageSubgraph.
-  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1/{artifact=projects/*/locations/*/metadataStores/*/artifacts/*}:queryArtifactLineageSubgraph"
     };
@@ -364,7 +385,8 @@ service MetadataService {
   }
 }
 
-// Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+// Request message for
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreRequest {
   // Required. The resource name of the Location where the MetadataStore should
   // be created.
@@ -390,13 +412,15 @@ message CreateMetadataStoreRequest {
   string metadata_store_id = 3;
 }
 
-// Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
+// Details of operations that perform
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreOperationMetadata {
   // Operation metadata for creating a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
+// Request message for
+// [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
 message GetMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to retrieve.
   // Format:
@@ -409,7 +433,8 @@ message GetMetadataStoreRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+// Request message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
 message ListMetadataStoresRequest {
   // Required. The Location whose MetadataStores should be listed.
   // Format:
@@ -427,8 +452,8 @@ message ListMetadataStoresRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-  // subsequent page.
+  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -436,18 +461,21 @@ message ListMetadataStoresRequest {
   string page_token = 3;
 }
 
-// Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
+// Response message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
 message ListMetadataStoresResponse {
   // The MetadataStores found for the Location.
   repeated MetadataStore metadata_stores = 1;
 
   // A token, which can be sent as
-  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+// Request message for
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to delete.
   // Format:
@@ -463,13 +491,15 @@ message DeleteMetadataStoreRequest {
   bool force = 2 [deprecated = true];
 }
 
-// Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
+// Details of operations that perform
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreOperationMetadata {
   // Operation metadata for deleting a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
+// Request message for
+// [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
 message CreateArtifactRequest {
   // Required. The resource name of the MetadataStore where the Artifact should
   // be created.
@@ -495,7 +525,8 @@ message CreateArtifactRequest {
   string artifact_id = 3;
 }
 
-// Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
+// Request message for
+// [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
 message GetArtifactRequest {
   // Required. The resource name of the Artifact to retrieve.
   // Format:
@@ -508,7 +539,8 @@ message GetArtifactRequest {
   ];
 }
 
-// Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+// Request message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
 message ListArtifactsRequest {
   // Required. The MetadataStore whose Artifacts should be listed.
   // Format:
@@ -524,7 +556,8 @@ message ListArtifactsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
+  // A page token, received from a previous
+  // [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -571,36 +604,41 @@ message ListArtifactsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
+// Response message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
 message ListArtifactsResponse {
   // The Artifacts retrieved from the MetadataStore.
   repeated Artifact artifacts = 1;
 
-  // A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
+  // A token, which can be sent as
+  // [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
+// Request message for
+// [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
 message UpdateArtifactRequest {
   // Required. The Artifact containing updates.
-  // The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] field is used to identify the Artifact to
-  // be updated.
-  // Format:
+  // The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
+  // field is used to identify the Artifact to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   Artifact artifact = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
+  // If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
+  // not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
   // created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
+// Request message for
+// [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
 message DeleteArtifactRequest {
   // Required. The resource name of the Artifact to delete.
   // Format:
@@ -618,7 +656,8 @@ message DeleteArtifactRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Request message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsRequest {
   // Required. The metadata store to purge Artifacts from.
   // Format:
@@ -640,7 +679,8 @@ message PurgeArtifactsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Response message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsResponse {
   // The number of Artifacts that this request deleted (or, if `force` is false,
   // the number of Artifacts that will be deleted). This can be an estimate.
@@ -650,21 +690,22 @@ message PurgeArtifactsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Artifact"
-                                    }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
+// Details of operations that perform
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsMetadata {
   // Operation metadata for purging Artifacts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
+// Request message for
+// [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
 message CreateContextRequest {
-  // Required. The resource name of the MetadataStore where the Context should be
-  // created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the Context should
+  // be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -686,7 +727,8 @@ message CreateContextRequest {
   string context_id = 3;
 }
 
-// Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
+// Request message for
+// [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
 message GetContextRequest {
   // Required. The resource name of the Context to retrieve.
   // Format:
@@ -699,7 +741,8 @@ message GetContextRequest {
   ];
 }
 
-// Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+// Request message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
 message ListContextsRequest {
   // Required. The MetadataStore whose Contexts should be listed.
   // Format:
@@ -715,7 +758,8 @@ message ListContextsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
+  // A page token, received from a previous
+  // [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -766,36 +810,40 @@ message ListContextsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
+// Response message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
 message ListContextsResponse {
   // The Contexts retrieved from the MetadataStore.
   repeated Context contexts = 1;
 
-  // A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
+  // A token, which can be sent as
+  // [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
+// Request message for
+// [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
 message UpdateContextRequest {
   // Required. The Context containing updates.
-  // The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field is used to identify the Context to be
-  // updated.
-  // Format:
+  // The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
+  // is used to identify the Context to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   Context context = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is not found, a new [Context][google.cloud.aiplatform.v1.Context] is
-  // created.
+  // If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
+  // not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
+// Request message for
+// [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
 message DeleteContextRequest {
   // Required. The resource name of the Context to delete.
   // Format:
@@ -817,7 +865,8 @@ message DeleteContextRequest {
   string etag = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Request message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsRequest {
   // Required. The metadata store to purge Contexts from.
   // Format:
@@ -839,7 +888,8 @@ message PurgeContextsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Response message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsResponse {
   // The number of Contexts that this request deleted (or, if `force` is false,
   // the number of Contexts that will be deleted). This can be an estimate.
@@ -849,21 +899,22 @@ message PurgeContextsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Context"
-                                    }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
+// Details of operations that perform
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
 message PurgeContextsMetadata {
   // Operation metadata for purging Contexts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+// Request message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
 message AddContextArtifactsAndExecutionsRequest {
-  // Required. The resource name of the Context that the Artifacts and Executions
-  // belong to.
-  // Format:
+  // Required. The resource name of the Context that the Artifacts and
+  // Executions belong to. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   string context = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -877,8 +928,8 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   repeated string artifacts = 2 [(google.api.resource_reference) = {
-                                   type: "aiplatform.googleapis.com/Artifact"
-                                 }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 
   // The resource names of the Executions to associate with the
   // Context.
@@ -886,16 +937,16 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   repeated string executions = 3 [(google.api.resource_reference) = {
-                                    type: "aiplatform.googleapis.com/Execution"
-                                  }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
-message AddContextArtifactsAndExecutionsResponse {
-
-}
+// Response message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
+message AddContextArtifactsAndExecutionsResponse {}
 
-// Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+// Request message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
 message AddContextChildrenRequest {
   // Required. The resource name of the parent Context.
   //
@@ -910,14 +961,13 @@ message AddContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
-message AddContextChildrenResponse {
-
-}
+// Response message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
+message AddContextChildrenResponse {}
 
 // Request message for
 // [MetadataService.DeleteContextChildrenRequest][].
@@ -935,16 +985,16 @@ message RemoveContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
-message RemoveContextChildrenResponse {
+// Response message for
+// [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
+message RemoveContextChildrenResponse {}
 
-}
-
-// Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
+// Request message for
+// [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
 message QueryContextLineageSubgraphRequest {
   // Required. The resource name of the Context whose Artifacts and Executions
   // should be retrieved as a LineageSubgraph.
@@ -962,7 +1012,8 @@ message QueryContextLineageSubgraphRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
+// Request message for
+// [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
 message CreateExecutionRequest {
   // Required. The resource name of the MetadataStore where the Execution should
   // be created.
@@ -989,7 +1040,8 @@ message CreateExecutionRequest {
   string execution_id = 3;
 }
 
-// Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
+// Request message for
+// [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
 message GetExecutionRequest {
   // Required. The resource name of the Execution to retrieve.
   // Format:
@@ -1002,7 +1054,8 @@ message GetExecutionRequest {
   ];
 }
 
-// Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+// Request message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
 message ListExecutionsRequest {
   // Required. The MetadataStore whose Executions should be listed.
   // Format:
@@ -1018,7 +1071,8 @@ message ListExecutionsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
+  // A page token, received from a previous
+  // [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -1065,36 +1119,41 @@ message ListExecutionsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
+// Response message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
 message ListExecutionsResponse {
   // The Executions retrieved from the MetadataStore.
   repeated Execution executions = 1;
 
-  // A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
+  // A token, which can be sent as
+  // [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
+// Request message for
+// [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
 message UpdateExecutionRequest {
   // Required. The Execution containing updates.
-  // The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name] field is used to identify the Execution
-  // to be updated.
-  // Format:
+  // The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
+  // field is used to identify the Execution to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   Execution execution = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1.Execution]
-  // is created.
+  // If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
+  // is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
+  // created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
+// Request message for
+// [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
 message DeleteExecutionRequest {
   // Required. The resource name of the Execution to delete.
   // Format:
@@ -1112,7 +1171,8 @@ message DeleteExecutionRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Request message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsRequest {
   // Required. The metadata store to purge Executions from.
   // Format:
@@ -1134,7 +1194,8 @@ message PurgeExecutionsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Response message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsResponse {
   // The number of Executions that this request deleted (or, if `force` is
   // false, the number of Executions that will be deleted). This can be an
@@ -1145,17 +1206,19 @@ message PurgeExecutionsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Execution"
-                                    }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
+// Details of operations that perform
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
 message PurgeExecutionsMetadata {
   // Operation metadata for purging Executions.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+// Request message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
 message AddExecutionEventsRequest {
   // Required. The resource name of the Execution that the Events connect
   // Artifacts with.
@@ -1172,16 +1235,15 @@ message AddExecutionEventsRequest {
   repeated Event events = 2;
 }
 
-// Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
-message AddExecutionEventsResponse {
+// Response message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
+message AddExecutionEventsResponse {}
 
-}
-
-// Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
+// Request message for
+// [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
 message QueryExecutionInputsAndOutputsRequest {
-  // Required. The resource name of the Execution whose input and output Artifacts should
-  // be retrieved as a LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Execution whose input and output
+  // Artifacts should be retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   string execution = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1191,11 +1253,11 @@ message QueryExecutionInputsAndOutputsRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
+// Request message for
+// [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
 message CreateMetadataSchemaRequest {
-  // Required. The resource name of the MetadataStore where the MetadataSchema should
-  // be created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the MetadataSchema
+  // should be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1218,7 +1280,8 @@ message CreateMetadataSchemaRequest {
   string metadata_schema_id = 3;
 }
 
-// Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
+// Request message for
+// [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
 message GetMetadataSchemaRequest {
   // Required. The resource name of the MetadataSchema to retrieve.
   // Format:
@@ -1231,7 +1294,8 @@ message GetMetadataSchemaRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+// Request message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasRequest {
   // Required. The MetadataStore whose MetadataSchemas should be listed.
   // Format:
@@ -1249,8 +1313,8 @@ message ListMetadataSchemasRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-  // next page.
+  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
+  // call. Provide this to retrieve the next page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -1261,22 +1325,24 @@ message ListMetadataSchemasRequest {
   string filter = 4;
 }
 
-// Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
+// Response message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasResponse {
   // The MetadataSchemas found for the MetadataStore.
   repeated MetadataSchema metadata_schemas = 1;
 
   // A token, which can be sent as
-  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
+// Request message for
+// [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
 message QueryArtifactLineageSubgraphRequest {
-  // Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-  // LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Artifact whose Lineage needs to be
+  // retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   //
   // The request may error with FAILED_PRECONDITION if the number of Artifacts,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_store.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_store.proto
index 31e7fd2c94a8..a151ddce9b21 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_store.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/metadata_store.proto
@@ -47,10 +47,12 @@ message MetadataStore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for a Metadata Store. If set, this
   // Metadata Store and all sub-resources of this Metadata Store are secured
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
index 3306029af40d..04dff9c8566c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
@@ -65,9 +65,9 @@ message MigratableResource {
 
     // Full resource name of ml engine model Version.
     // Format: `projects/{project}/models/{model}/versions/{version}`.
-    string version = 2 [(google.api.resource_reference) = {
-                          type: "ml.googleapis.com/Version"
-                        }];
+    string version = 2 [
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
+    ];
   }
 
   // Represents one Model in automl.googleapis.com.
@@ -75,9 +75,9 @@ message MigratableResource {
     // Full resource name of automl Model.
     // Format:
     // `projects/{project}/locations/{location}/models/{model}`.
-    string model = 1 [(google.api.resource_reference) = {
-                        type: "automl.googleapis.com/Model"
-                      }];
+    string model = 1 [
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
+    ];
 
     // The Model's display name in automl.googleapis.com.
     string model_display_name = 3;
@@ -89,8 +89,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/locations/{location}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "automl.googleapis.com/Dataset"
-                        }];
+      type: "automl.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in automl.googleapis.com.
     string dataset_display_name = 4;
@@ -104,8 +104,8 @@ message MigratableResource {
       // Format:
       // `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
       string annotated_dataset = 1 [(google.api.resource_reference) = {
-                                      type: "datalabeling.googleapis.com/AnnotatedDataset"
-                                    }];
+        type: "datalabeling.googleapis.com/AnnotatedDataset"
+      }];
 
       // The AnnotatedDataset's display name in datalabeling.googleapis.com.
       string annotated_dataset_display_name = 3;
@@ -115,8 +115,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "datalabeling.googleapis.com/Dataset"
-                        }];
+      type: "datalabeling.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in datalabeling.googleapis.com.
     string dataset_display_name = 4;
@@ -128,23 +128,28 @@ message MigratableResource {
 
   oneof resource {
     // Output only. Represents one Version in ml.googleapis.com.
-    MlEngineModelVersion ml_engine_model_version = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    MlEngineModelVersion ml_engine_model_version = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Model in automl.googleapis.com.
     AutomlModel automl_model = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in automl.googleapis.com.
-    AutomlDataset automl_dataset = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    AutomlDataset automl_dataset = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in datalabeling.googleapis.com.
-    DataLabelingDataset data_labeling_dataset = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    DataLabelingDataset data_labeling_dataset = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Timestamp when the last migration attempt on this MigratableResource
-  // started. Will not be set if there's no migration attempt on this
-  // MigratableResource.
-  google.protobuf.Timestamp last_migrate_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when the last migration attempt on this
+  // MigratableResource started. Will not be set if there's no migration attempt
+  // on this MigratableResource.
+  google.protobuf.Timestamp last_migrate_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MigratableResource was last updated.
-  google.protobuf.Timestamp last_update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp last_update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
index bcacf30a4fa6..7acbdb11e3d5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
@@ -37,12 +37,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
 service MigrationService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Searches all of the resources in automl.googleapis.com,
   // datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
   // Vertex AI's given location.
-  rpc SearchMigratableResources(SearchMigratableResourcesRequest) returns (SearchMigratableResourcesResponse) {
+  rpc SearchMigratableResources(SearchMigratableResourcesRequest)
+      returns (SearchMigratableResourcesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/migratableResources:search"
       body: "*"
@@ -52,7 +54,8 @@ service MigrationService {
 
   // Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
   // and datalabeling.googleapis.com to Vertex AI.
-  rpc BatchMigrateResources(BatchMigrateResourcesRequest) returns (google.longrunning.Operation) {
+  rpc BatchMigrateResources(BatchMigrateResourcesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/migratableResources:batchMigrate"
       body: "*"
@@ -65,12 +68,12 @@ service MigrationService {
   }
 }
 
-// Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+// Request message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesRequest {
-  // Required. The location that the migratable resources should be searched from.
-  // It's the Vertex AI location that the resources can be migrated to, not
-  // the resources' original location.
-  // Format:
+  // Required. The location that the migratable resources should be searched
+  // from. It's the Vertex AI location that the resources can be migrated to,
+  // not the resources' original location. Format:
   // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -101,7 +104,8 @@ message SearchMigratableResourcesRequest {
   string filter = 4;
 }
 
-// Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+// Response message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesResponse {
   // All migratable resources that can be migrated to the
   // location specified in the request.
@@ -113,7 +117,8 @@ message SearchMigratableResourcesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Request message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesRequest {
   // Required. The location of the migrated resource will live in.
   // Format: `projects/{project}/locations/{location}`
@@ -127,7 +132,8 @@ message BatchMigrateResourcesRequest {
   // Required. The request messages specifying the resources to migrate.
   // They must be in the same location as the destination.
   // Up to 50 resources can be migrated in one batch.
-  repeated MigrateResourceRequest migrate_resource_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated MigrateResourceRequest migrate_resource_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Config of migrating one resource from automl.googleapis.com,
@@ -135,9 +141,8 @@ message BatchMigrateResourcesRequest {
 message MigrateResourceRequest {
   // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
   message MigrateMlEngineModelVersionConfig {
-    // Required. The ml.googleapis.com endpoint that this model version should be migrated
-    // from.
-    // Example values:
+    // Required. The ml.googleapis.com endpoint that this model version should
+    // be migrated from. Example values:
     //
     // * ml.googleapis.com
     //
@@ -152,9 +157,7 @@ message MigrateResourceRequest {
     // Format: `projects/{project}/models/{model}/versions/{version}`.
     string model_version = 2 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "ml.googleapis.com/Version"
-      }
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
     ];
 
     // Required. Display name of the model in Vertex AI.
@@ -169,9 +172,7 @@ message MigrateResourceRequest {
     // `projects/{project}/locations/{location}/models/{model}`.
     string model = 1 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "automl.googleapis.com/Model"
-      }
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
     ];
 
     // Optional. Display name of the model in Vertex AI.
@@ -228,15 +229,18 @@ message MigrateResourceRequest {
     // System will pick a display name if unspecified.
     string dataset_display_name = 2 [(google.api.field_behavior) = OPTIONAL];
 
-    // Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-    // Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-    // to the datalabeling Dataset.
-    repeated MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(google.api.field_behavior) = OPTIONAL];
+    // Optional. Configs for migrating AnnotatedDataset in
+    // datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+    // AnnotatedDatasets have to belong to the datalabeling Dataset.
+    repeated MigrateDataLabelingAnnotatedDatasetConfig
+        migrate_data_labeling_annotated_dataset_configs = 3
+        [(google.api.field_behavior) = OPTIONAL];
   }
 
   oneof request {
     // Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
-    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config =
+        1;
 
     // Config for migrating Model in automl.googleapis.com to Vertex AI's
     // Model.
@@ -252,7 +256,8 @@ message MigrateResourceRequest {
   }
 }
 
-// Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Response message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesResponse {
   // Successfully migrated resources.
   repeated MigrateResourceResponse migrate_resource_responses = 1;
@@ -264,13 +269,13 @@ message MigrateResourceResponse {
   oneof migrated_resource {
     // Migrated Dataset's resource name.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Dataset"
-                        }];
+      type: "aiplatform.googleapis.com/Dataset"
+    }];
 
     // Migrated Model's resource name.
     string model = 2 [(google.api.resource_reference) = {
-                        type: "aiplatform.googleapis.com/Model"
-                      }];
+      type: "aiplatform.googleapis.com/Model"
+    }];
   }
 
   // Before migration, the identifier in ml.googleapis.com,
@@ -278,7 +283,8 @@ message MigrateResourceResponse {
   MigratableResource migratable_resource = 3;
 }
 
-// Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+// Runtime operation information for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
   // Represents a partial result in batch migration operation for one
   // [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
@@ -292,13 +298,13 @@ message BatchMigrateResourcesOperationMetadata {
 
       // Migrated model resource name.
       string model = 3 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Model"
-                        }];
+        type: "aiplatform.googleapis.com/Model"
+      }];
 
       // Migrated dataset resource name.
       string dataset = 4 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
     }
 
     // It's the same as the value in
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
index 7675701874d4..3c6d66b8ac10 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
@@ -50,12 +50,15 @@ message Model {
 
       // Model artifact and any of its supported files. Will be exported to the
       // location specified by the `artifactDestination` field of the
-      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+      // object.
       ARTIFACT = 1;
 
       // The container image that is to be used when deploying this Model. Will
       // be exported to the location specified by the `imageDestination` field
-      // of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      // of the
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
+      // object.
       IMAGE = 2;
     }
 
@@ -83,7 +86,8 @@ message Model {
     string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The content of this Model that may be exported.
-    repeated ExportableContent exportable_contents = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated ExportableContent exportable_contents = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Identifies a type of Model's prediction resources.
@@ -91,16 +95,18 @@ message Model {
     // Should not be used.
     DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;
 
-    // Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
-    // higher degree of manual configuration.
+    // Resources that are dedicated to the
+    // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
+    // a higher degree of manual configuration.
     DEDICATED_RESOURCES = 1;
 
     // Resources that to large degree are decided by Vertex AI, and require
     // only a modest additional configuration.
     AUTOMATIC_RESOURCES = 2;
 
-    // Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1.DeployedModel].
-    // A pre-configured [DeploymentResourcePool][] is required.
+    // Resources that can be shared by multiple
+    // [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
+    // pre-configured [DeploymentResourcePool][] is required.
     SHARED_RESOURCES = 3;
   }
 
@@ -128,10 +134,12 @@ message Model {
   repeated string version_aliases = 29;
 
   // Output only. Timestamp when this version was created.
-  google.protobuf.Timestamp version_create_time = 31 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_create_time = 31
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this version was most recently updated.
-  google.protobuf.Timestamp version_update_time = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_update_time = 32
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The display name of the Model.
   // The name can be up to 128 characters long and can consist of any UTF-8
@@ -146,13 +154,15 @@ message Model {
 
   // The schemata that describe formats of the Model's predictions and
   // explanations as given and returned via
-  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // and
+  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
   PredictSchemata predict_schemata = 4;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Model, that is specific to it. Unset if the Model
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Model, that is specific to it. Unset if
+  // the Model does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI, if no
   // additional metadata is needed, this field is set to an empty string.
@@ -161,17 +171,19 @@ message Model {
   // point to a location where the user only has a read access.
   string metadata_schema_uri = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. An additional information about the Model; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+  // Immutable. An additional information about the Model; the schema of the
+  // metadata can be found in
+  // [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
   // Unset if the Model does not have any additional information.
   google.protobuf.Value metadata = 6 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. The formats in which this Model may be exported. If empty, this Model is
-  // not available for export.
-  repeated ExportFormat supported_export_formats = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The formats in which this Model may be exported. If empty,
+  // this Model is not available for export.
+  repeated ExportFormat supported_export_formats = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-  // any.
+  // Output only. The resource name of the TrainingPipeline that uploaded this
+  // Model, if any.
   string training_pipeline = 7 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -179,35 +191,43 @@ message Model {
     }
   ];
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model. The specification is ingested upon
-  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
-  // and stored internally by Vertex AI.
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model. The specification is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+  // and all binaries it contains are copied and stored internally by Vertex AI.
   // Not present for AutoML Models.
-  ModelContainerSpec container_spec = 9 [(google.api.field_behavior) = INPUT_ONLY];
+  ModelContainerSpec container_spec = 9
+      [(google.api.field_behavior) = INPUT_ONLY];
 
-  // Immutable. The path to the directory containing the Model artifact and any of its
-  // supporting files.
-  // Not present for AutoML Models.
+  // Immutable. The path to the directory containing the Model artifact and any
+  // of its supporting files. Not present for AutoML Models.
   string artifact_uri = 26 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. When this Model is deployed, its prediction resources are described by the
-  // `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
-  // Because not all Models support all resource configuration types, the
-  // configuration types this Model supports are listed here. If no
+  // Output only. When this Model is deployed, its prediction resources are
+  // described by the `prediction_resources` field of the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // object. Because not all Models support all resource configuration types,
+  // the configuration types this Model supports are listed here. If no
   // configuration types are listed, the Model cannot be deployed to an
   // [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
-  // online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
-  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]). Such a Model can serve predictions by
-  // using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
-  // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+  // online predictions
+  // ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
+  // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]).
+  // Such a Model can serve predictions by using a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it
+  // has at least one entry each in
+  // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats]
+  // and
   // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
-  repeated DeploymentResourcesType supported_deployment_resources_types = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeploymentResourcesType supported_deployment_resources_types = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
-  // should be given as per that schema.
+  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+  // If
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+  // exists, the instances should be given as per that schema.
   //
   // The possible formats are:
   //
@@ -218,11 +238,13 @@ message Model {
   // * `csv`
   // The CSV format, where each instance is a single comma-separated line.
   // The first line in the file is the header, containing comma-separated field
-  // names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  // names. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record`
   // The TFRecord format, where each instance is a single record in tfrecord
-  // syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  // syntax. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record-gzip`
   // Similar to `tf-record`, but the file is gzipped. Uses
@@ -235,23 +257,31 @@ message Model {
   // * `file-list`
   // Each line of the file is the location of an instance to process, uses
   // `gcs_source` field of the
-  // [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+  // [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig]
+  // object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
-  repeated string supported_input_storage_formats = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_input_storage_formats = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
-  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
-  // are returned together with their instances. In other words, the
-  // prediction has the original instance data first, followed
-  // by the actual prediction content (as per the schema).
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  // If both
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+  // and
+  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri]
+  // exist, the predictions are returned together with their instances. In other
+  // words, the prediction has the original instance data first, followed by the
+  // actual prediction content (as per the schema).
   //
   // The possible formats are:
   //
@@ -272,44 +302,56 @@ message Model {
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
-  repeated string supported_output_storage_formats = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_output_storage_formats = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was uploaded into Vertex AI.
-  google.protobuf.Timestamp create_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The pointers to DeployedModels created from this Model. Note that
-  // Model could have been deployed to Endpoints in different Locations.
-  repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The pointers to DeployedModels created from this Model. Note
+  // that Model could have been deployed to Endpoints in different Locations.
+  repeated DeployedModelRef deployed_models = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The default explanation specification for this Model.
   //
   // The Model can be used for [requesting
   // explanation][PredictionService.Explain] after being
-  // [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is populated.
-  // The Model can be used for [batch
+  // [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel] if it is
+  // populated. The Model can be used for [batch
   // explanation][BatchPredictionJob.generate_explanation] if it is populated.
   //
   // All fields of the explanation_spec can be overridden by
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model], or
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model],
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
   //
   // If the default explanation specification is not set for this Model, this
   // Model can still be used for [requesting
   // explanation][PredictionService.Explain] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model] and for [batch
-  // explanation][BatchPredictionJob.generate_explanation] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec] of
-  // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
+  // and for [batch explanation][BatchPredictionJob.generate_explanation] by
+  // setting
+  // [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
+  // of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
   ExplanationSpec explanation_spec = 23;
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
@@ -329,23 +371,28 @@ message Model {
   // Model and all sub-resources of this Model will be secured by this key.
   EncryptionSpec encryption_spec = 24;
 
-  // Output only. Source of a model. It can either be automl training pipeline, custom
-  // training pipeline, BigQuery ML, or existing Vertex AI Model.
-  ModelSourceInfo model_source_info = 38 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Source of a model. It can either be automl training pipeline,
+  // custom training pipeline, BigQuery ML, or existing Vertex AI Model.
+  ModelSourceInfo model_source_info = 38
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Model. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Model. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 44 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Contains the schemata used in Model's predictions and explanations via
-// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
-// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
+// and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
 message PredictSchemata {
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
-  // [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single instance, which are used in
+  // [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+  // [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
+  // and
   // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -355,9 +402,11 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string instance_schema_uri = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-  // parameters of prediction and explanation via
-  // [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the parameters of prediction and explanation via
+  // [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
+  // [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
+  // and
   // [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -368,9 +417,12 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string parameters_schema_uri = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single prediction produced by this Model, which are returned via
-  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations], and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single prediction produced by this Model, which are
+  // returned via
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
+  // [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
+  // and
   // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -385,14 +437,16 @@ message PredictSchemata {
 // message correspond to fields in the [Kubernetes Container v1 core
 // specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
 message ModelContainerSpec {
-  // Required. Immutable. URI of the Docker image to be used as the custom container for serving
-  // predictions. This URI must identify an image in Artifact Registry or
-  // Container Registry. Learn more about the [container publishing
+  // Required. Immutable. URI of the Docker image to be used as the custom
+  // container for serving predictions. This URI must identify an image in
+  // Artifact Registry or Container Registry. Learn more about the [container
+  // publishing
   // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
   // including permissions requirements for the Vertex AI Service Agent.
   //
-  // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
-  // internally, and this original path is afterwards not used.
+  // The container image is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
+  // stored internally, and this original path is afterwards not used.
   //
   // To learn about the requirements for the Docker image itself, see
   // [Custom container
@@ -406,14 +460,15 @@ message ModelContainerSpec {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. Specifies the command that runs when the container starts. This overrides
-  // the container's
+  // Immutable. Specifies the command that runs when the container starts. This
+  // overrides the container's
   // [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
   // Specify this field as an array of executable and arguments, similar to a
   // Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
   //
   // If you do not specify this field, then the container's `ENTRYPOINT` runs,
-  // in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+  // in conjunction with the
+  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
   // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
   // if either exists. If this field is not specified and the container does not
   // have an `ENTRYPOINT`, then refer to the Docker documentation about [how
@@ -429,32 +484,30 @@ message ModelContainerSpec {
   //
   // In this field, you can reference [environment variables set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
-  // following syntax:
-  // $(VARIABLE_NAME)
-  // Note that this differs from Bash variable expansion, which does not use
-  // parentheses. If a variable cannot be resolved, the reference in the input
-  // string is used unchanged. To avoid variable expansion, you can escape this
-  // syntax with `$$`; for example:
-  // $$(VARIABLE_NAME)
-  // This field corresponds to the `command` field of the Kubernetes Containers
-  // [v1 core
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+  // reference environment variables set in the Docker image. In order for
+  // environment variables to be expanded, reference them by using the following
+  // syntax: $(VARIABLE_NAME) Note that this differs
+  // from Bash variable expansion, which does not use parentheses. If a variable
+  // cannot be resolved, the reference in the input string is used unchanged. To
+  // avoid variable expansion, you can escape this syntax with `$$`; for
+  // example: $$(VARIABLE_NAME) This field corresponds
+  // to the `command` field of the Kubernetes Containers [v1 core
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string command = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Specifies arguments for the command that runs when the container starts.
-  // This overrides the container's
+  // Immutable. Specifies arguments for the command that runs when the container
+  // starts. This overrides the container's
   // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
   // this field as an array of executable and arguments, similar to a Docker
   // `CMD`'s "default parameters" form.
   //
   // If you don't specify this field but do specify the
-  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
-  // `command` field runs without any additional arguments. See the
-  // [Kubernetes documentation about how the
-  // `command` and `args` fields interact with a container's `ENTRYPOINT` and
+  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
+  // then the command from the `command` field runs without any additional
+  // arguments. See the [Kubernetes documentation about how the `command` and
+  // `args` fields interact with a container's `ENTRYPOINT` and
   // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
   //
   // If you don't specify this field and don't specify the `command` field,
@@ -467,29 +520,29 @@ message ModelContainerSpec {
   // In this field, you can reference [environment variables
   // set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
-  // following syntax:
-  // $(VARIABLE_NAME)
-  // Note that this differs from Bash variable expansion, which does not use
-  // parentheses. If a variable cannot be resolved, the reference in the input
-  // string is used unchanged. To avoid variable expansion, you can escape this
-  // syntax with `$$`; for example:
-  // $$(VARIABLE_NAME)
-  // This field corresponds to the `args` field of the Kubernetes Containers
-  // [v1 core
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
+  // reference environment variables set in the Docker image. In order for
+  // environment variables to be expanded, reference them by using the following
+  // syntax: $(VARIABLE_NAME) Note that this differs
+  // from Bash variable expansion, which does not use parentheses. If a variable
+  // cannot be resolved, the reference in the input string is used unchanged. To
+  // avoid variable expansion, you can escape this syntax with `$$`; for
+  // example: $$(VARIABLE_NAME) This field corresponds
+  // to the `args` field of the Kubernetes Containers [v1 core
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string args = 3 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. List of environment variables to set in the container. After the container
-  // starts running, code running in the container can read these environment
-  // variables.
+  // Immutable. List of environment variables to set in the container. After the
+  // container starts running, code running in the container can read these
+  // environment variables.
   //
-  // Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
-  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
-  // entries in this list can also reference earlier entries. For example, the
-  // following example sets the variable `VAR_2` to have the value `foo bar`:
+  // Additionally, the
+  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
+  // reference these variables. Later entries in this list can also reference
+  // earlier entries. For example, the following example sets the variable
+  // `VAR_2` to have the value `foo bar`:
   //
   // ```json
   // [
@@ -535,11 +588,11 @@ message ModelContainerSpec {
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated Port ports = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-  // forwards requests sent using
-  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
-  // path on the container's IP address and port. Vertex AI then returns the
-  // container's response in the API response.
+  // Immutable. HTTP path on the container to send prediction requests to.
+  // Vertex AI forwards requests sent using
+  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
+  // to this path on the container's IP address and port. Vertex AI then returns
+  // the container's response in the API response.
   //
   // For example, if you set this field to `/foo`, then when Vertex AI
   // receives a prediction request, it forwards the request body in a POST
@@ -548,7 +601,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
   // /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
   // The placeholders in this value are replaced as follows:
   //
@@ -558,7 +612,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * DEPLOYED_MODEL: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  // * DEPLOYED_MODEL:
+  // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code
   //   as the [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -576,7 +632,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
   // /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
   // The placeholders in this value are replaced as follows:
   //
@@ -586,7 +643,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * DEPLOYED_MODEL: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  // * DEPLOYED_MODEL:
+  // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code as the
   //   [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
index 25983312e251..ecbda9d84872 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
@@ -118,20 +118,27 @@ message ModelDeploymentMonitoringJob {
   JobState state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Schedule state when the monitoring job is in Running state.
-  MonitoringScheduleState schedule_state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  MonitoringScheduleState schedule_state = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Latest triggered monitoring pipeline metadata.
-  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(google.api.field_behavior) = OUTPUT_ONLY];
+  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. The config for monitoring objectives. This is a per DeployedModel config.
-  // Each DeployedModel needs to be configured separately.
-  repeated ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(google.api.field_behavior) = REQUIRED];
+  // Required. The config for monitoring objectives. This is a per DeployedModel
+  // config. Each DeployedModel needs to be configured separately.
+  repeated ModelDeploymentMonitoringObjectiveConfig
+      model_deployment_monitoring_objective_configs = 6
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Schedule config for running the monitoring job.
-  ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringScheduleConfig
+      model_deployment_monitoring_schedule_config = 7
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Sample Strategy for logging.
-  SamplingStrategy logging_sampling_strategy = 8 [(google.api.field_behavior) = REQUIRED];
+  SamplingStrategy logging_sampling_strategy = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // Alert config for model monitoring.
   ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
@@ -142,10 +149,12 @@ message ModelDeploymentMonitoringJob {
   // requests.
   string predict_instance_schema_uri = 9;
 
-  // Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+  // Sample Predict instance, same format as
+  // [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
   // this can be set as a replacement of
-  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-  // we will generate predict schema from collected predict requests.
+  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+  // If not set, we will generate predict schema from collected predict
+  // requests.
   google.protobuf.Value sample_predict_instance = 19;
 
   // YAML schema file uri describing the format of a single instance that you
@@ -161,12 +170,13 @@ message ModelDeploymentMonitoringJob {
   // fields in predict instance formatted as string.
   string analysis_instance_schema_uri = 16;
 
-  // Output only. The created bigquery tables for the job under customer project. Customer
-  // could do their own query & analysis. There could be 4 log tables in
-  // maximum:
+  // Output only. The created bigquery tables for the job under customer
+  // project. Customer could do their own query & analysis. There could be 4 log
+  // tables in maximum:
   // 1. Training data logging predict request/response
   // 2. Serving data logging predict request/response
-  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The TTL of BigQuery tables in user projects which stores logs.
   // A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
@@ -184,14 +194,18 @@ message ModelDeploymentMonitoringJob {
   map labels = 11;
 
   // Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
-  google.protobuf.Timestamp create_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
-  google.protobuf.Timestamp update_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+  // most recently.
+  google.protobuf.Timestamp update_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-  // next round.
-  google.protobuf.Timestamp next_schedule_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this monitoring pipeline will be scheduled to
+  // run for the next round.
+  google.protobuf.Timestamp next_schedule_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Stats anomalies base folder path.
   GcsDestination stats_anomalies_base_directory = 20;
@@ -263,17 +277,19 @@ message ModelDeploymentMonitoringObjectiveConfig {
 
 // The config for scheduling monitoring job.
 message ModelDeploymentMonitoringScheduleConfig {
-  // Required. The model monitoring job scheduling interval. It will be rounded up to next
-  // full hour. This defines how often the monitoring jobs are triggered.
-  google.protobuf.Duration monitor_interval = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The model monitoring job scheduling interval. It will be rounded
+  // up to next full hour. This defines how often the monitoring jobs are
+  // triggered.
+  google.protobuf.Duration monitor_interval = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // The time window of the prediction data being included in each prediction
   // dataset. This window specifies how long the data should be collected from
   // historical model results for each run. If not set,
-  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-  // e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-  // monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-  // to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+  // will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+  // the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+  // 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
   // monitoring statistics.
   google.protobuf.Duration monitor_window = 2;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
index 5fc333e66937..a8f12525bf3c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
@@ -58,8 +58,8 @@ message ModelEvaluation {
   string display_name = 10;
 
   // Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-  // defined as an OpenAPI 3.0.2 [Schema
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
+  // ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 2;
 
@@ -68,12 +68,13 @@ message ModelEvaluation {
   google.protobuf.Value metrics = 3;
 
   // Output only. Timestamp when this ModelEvaluation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
   // ModelEvaluationSlices. The dimensions can be used as the filter of the
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
-  // `slice.dimension = `.
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+  // request, in the form of `slice.dimension = `.
   repeated string slice_dimensions = 5;
 
   // Points to a YAML file stored on Google Cloud Storage describing
@@ -104,8 +105,9 @@ message ModelEvaluation {
   //
   ModelExplanation model_explanation = 8;
 
-  // Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
-  // the predicted values on the evaluated data.
+  // Describes the values of
+  // [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
+  // for explaining the predicted values on the evaluated data.
   repeated ModelEvaluationExplanationSpec explanation_specs = 9;
 
   // The metadata of the ModelEvaluation.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
index f28b013546db..085132e38d84 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
@@ -42,8 +42,10 @@ message ModelEvaluationSlice {
     // Output only. The dimension of the slice.
     // Well-known dimensions are:
     //   * `annotationSpec`: This slice is on the test data that has either
-    //     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
-    //     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+    //     ground truth or prediction with
+    //     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+    //     equals to
+    //     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
     string dimension = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the dimension in this slice.
@@ -56,16 +58,19 @@ message ModelEvaluationSlice {
   // Output only. The slice of the test data that is used to evaluate the Model.
   Slice slice = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-  // schema is defined as an OpenAPI 3.0.2 [Schema
+  // Output only. Points to a YAML file stored on Google Cloud Storage
+  // describing the
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
+  // ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-  // in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+  // Output only. Sliced evaluation metrics of the Model. The schema of the
+  // metrics is stored in
+  // [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
   google.protobuf.Value metrics = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this ModelEvaluationSlice was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_monitoring.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_monitoring.proto
index 039161dde607..1b44c09230a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_monitoring.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_monitoring.proto
@@ -35,8 +35,8 @@ message ModelMonitoringObjectiveConfig {
     oneof data_source {
       // The resource name of the Dataset used to train this Model.
       string dataset = 3 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
 
       // The Google Cloud Storage uri of the unmanaged Dataset used to train
       // this Model.
@@ -111,8 +111,10 @@ message ModelMonitoringObjectiveConfig {
   // The config for integrating with Vertex Explainable AI. Only applicable if
   // the Model has explanation_spec populated.
   message ExplanationConfig {
-    // Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
-    // which can be used to generate baseline attribution scores.
+    // Output from
+    // [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
+    // Model Monitoring baseline dataset, which can be used to generate baseline
+    // attribution scores.
     message ExplanationBaseline {
       // The storage format of the predictions generated BatchPrediction job.
       enum PredictionFormat {
@@ -154,7 +156,8 @@ message ModelMonitoringObjectiveConfig {
   TrainingDataset training_dataset = 1;
 
   // The config for skew between training data and prediction data.
-  TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
+  TrainingPredictionSkewDetectionConfig
+      training_prediction_skew_detection_config = 2;
 
   // The config for drift of prediction data.
   PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
index b20d32d31661..cac89f57a704 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
@@ -39,7 +39,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for managing Vertex AI's machine learning Models.
 service ModelService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Uploads a Model artifact into Vertex AI.
   rpc UploadModel(UploadModelRequest) returns (google.longrunning.Operation) {
@@ -71,7 +72,8 @@ service ModelService {
   }
 
   // Lists versions of the specified model.
-  rpc ListModelVersions(ListModelVersionsRequest) returns (ListModelVersionsResponse) {
+  rpc ListModelVersions(ListModelVersionsRequest)
+      returns (ListModelVersionsResponse) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/models/*}:listVersions"
     };
@@ -89,9 +91,12 @@ service ModelService {
 
   // Deletes a Model.
   //
-  // A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
-  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
-  // [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
+  // A model cannot be deleted if any
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
+  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
+  // model in its
+  // [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
+  // field.
   rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/models/*}"
@@ -107,8 +112,10 @@ service ModelService {
   //
   // Model version can only be deleted if there are no [DeployedModels][]
   // created from it. Deleting the only version in the Model is not allowed. Use
-  // [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead.
-  rpc DeleteModelVersion(DeleteModelVersionRequest) returns (google.longrunning.Operation) {
+  // [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
+  // deleting the Model instead.
+  rpc DeleteModelVersion(DeleteModelVersionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/models/*}:deleteVersion"
     };
@@ -130,7 +137,8 @@ service ModelService {
 
   // Exports a trained, exportable Model to a location specified by the
   // user. A Model is considered to be exportable if it has at least one
-  // [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+  // [supported export
+  // format][google.cloud.aiplatform.v1.Model.supported_export_formats].
   rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/models/*}:export"
@@ -144,7 +152,8 @@ service ModelService {
   }
 
   // Imports an externally generated ModelEvaluation.
-  rpc ImportModelEvaluation(ImportModelEvaluationRequest) returns (ModelEvaluation) {
+  rpc ImportModelEvaluation(ImportModelEvaluationRequest)
+      returns (ModelEvaluation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/models/*}/evaluations:import"
       body: "*"
@@ -153,7 +162,8 @@ service ModelService {
   }
 
   // Imports a list of externally generated ModelEvaluationSlice.
-  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest) returns (BatchImportModelEvaluationSlicesResponse) {
+  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest)
+      returns (BatchImportModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport"
       body: "*"
@@ -170,7 +180,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluations in a Model.
-  rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) {
+  rpc ListModelEvaluations(ListModelEvaluationsRequest)
+      returns (ListModelEvaluationsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/models/*}/evaluations"
     };
@@ -178,7 +189,8 @@ service ModelService {
   }
 
   // Gets a ModelEvaluationSlice.
-  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest) returns (ModelEvaluationSlice) {
+  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest)
+      returns (ModelEvaluationSlice) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/models/*/evaluations/*/slices/*}"
     };
@@ -186,7 +198,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluationSlices in a ModelEvaluation.
-  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest) returns (ListModelEvaluationSlicesResponse) {
+  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest)
+      returns (ListModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices"
     };
@@ -194,7 +207,8 @@ service ModelService {
   }
 }
 
-// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+// Request message for
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
 message UploadModelRequest {
   // Required. The resource name of the Location into which to upload the Model.
   // Format: `projects/{project}/locations/{location}`
@@ -205,8 +219,8 @@ message UploadModelRequest {
     }
   ];
 
-  // Optional. The resource name of the model into which to upload the version. Only
-  // specify this field when uploading a new version.
+  // Optional. The resource name of the model into which to upload the version.
+  // Only specify this field when uploading a new version.
   string parent_model = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The ID to use for the uploaded Model, which will become the final
@@ -229,25 +243,30 @@ message UploadModelRequest {
   string service_account = 6 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+// Details of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+// operation.
 message UploadModelOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+// Response message of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
+// operation.
 message UploadModelResponse {
   // The name of the uploaded Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
   string model = 1 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
   // Output only. The version ID of the model that is uploaded.
   string model_version_id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+// Request message for
+// [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
 message GetModelRequest {
   // Required. The name of the Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -269,7 +288,8 @@ message GetModelRequest {
   ];
 }
 
-// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+// Request message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
 message ListModelsRequest {
   // Required. The resource name of the Location to list the Models from.
   // Format: `projects/{project}/locations/{location}`
@@ -284,7 +304,8 @@ message ListModelsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `model` supports = and !=. `model` represents the Model ID,
-  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+  //     i.e. the last segment of the Model's [resource
+  //     name][google.cloud.aiplatform.v1.Model.name].
   //   * `display_name` supports = and !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -303,8 +324,10 @@ message ListModelsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
-  // [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
@@ -322,17 +345,21 @@ message ListModelsRequest {
   string order_by = 6;
 }
 
-// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+// Response message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
 message ListModelsResponse {
   // List of Models in the requested page.
   repeated Model models = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
+// Request message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
 message ListModelVersionsRequest {
   // Required. The name of the model to list versions for.
   string name = 1 [
@@ -347,8 +374,8 @@ message ListModelVersionsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
-  // [ModelService.ListModelversions][] call.
+  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
+  // of the previous [ModelService.ListModelversions][] call.
   string page_token = 3;
 
   // An expression for filtering the results of the request. For field names
@@ -366,9 +393,20 @@ message ListModelVersionsRequest {
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //
+  //   * `create_time`
+  //   * `update_time`
+  //
+  // Example: `update_time asc, create_time desc`.
+  string order_by = 6;
 }
 
-// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
+// Response message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
 message ListModelVersionsResponse {
   // List of Model versions in the requested page.
   // In the returned Model name field, version ID instead of regvision tag will
@@ -376,11 +414,14 @@ message ListModelVersionsResponse {
   repeated Model models = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+// Request message for
+// [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
 message UpdateModelRequest {
   // Required. The Model which replaces the resource on the server.
   // When Model Versioning is enabled, the model.name will be used to determine
@@ -403,11 +444,14 @@ message UpdateModelRequest {
   Model model = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+// Request message for
+// [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
 message DeleteModelRequest {
   // Required. The name of the Model resource to be deleted.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -419,10 +463,11 @@ message DeleteModelRequest {
   ];
 }
 
-// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
+// Request message for
+// [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
 message DeleteModelVersionRequest {
-  // Required. The name of the model version to be deleted, with a version ID explicitly
-  // included.
+  // Required. The name of the model version to be deleted, with a version ID
+  // explicitly included.
   //
   // Example: `projects/{project}/locations/{location}/models/{model}@1234`
   string name = 1 [
@@ -433,7 +478,8 @@ message DeleteModelVersionRequest {
   ];
 }
 
-// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
+// Request message for
+// [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
 message MergeVersionAliasesRequest {
   // Required. The name of the model version to merge aliases, with a version ID
   // explicitly included.
@@ -461,13 +507,15 @@ message MergeVersionAliasesRequest {
   repeated string version_aliases = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+// Request message for
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
 message ExportModelRequest {
   // Output configuration for the Model export.
   message OutputConfig {
     // The ID of the format in which the Model must be exported. Each Model
-    // lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
-    // If no value is provided here, then the first from the list of the Model's
+    // lists the [export formats it
+    // supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
+    // no value is provided here, then the first from the list of the Model's
     // supported formats is used by default.
     string export_format_id = 1;
 
@@ -502,34 +550,38 @@ message ExportModelRequest {
   OutputConfig output_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+// Details of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+// operation.
 message ExportModelOperationMetadata {
   // Further describes the output of the ExportModel. Supplements
   // [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
   message OutputInfo {
-    // Output only. If the Model artifact is being exported to Google Cloud Storage this is
-    // the full path of the directory created, into which the Model files are
-    // being written to.
+    // Output only. If the Model artifact is being exported to Google Cloud
+    // Storage this is the full path of the directory created, into which the
+    // Model files are being written to.
     string artifact_output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. If the Model image is being exported to Google Container Registry or
-    // Artifact Registry this is the full path of the image created.
+    // Output only. If the Model image is being exported to Google Container
+    // Registry or Artifact Registry this is the full path of the image created.
     string image_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 
-  // Output only. Information further describing the output of this Model export.
+  // Output only. Information further describing the output of this Model
+  // export.
   OutputInfo output_info = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
-message ExportModelResponse {
-
-}
+// Response message of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
+// operation.
+message ExportModelResponse {}
 
-// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
+// Request message for
+// [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
 message ImportModelEvaluationRequest {
   // Required. The name of the parent model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -544,7 +596,8 @@ message ImportModelEvaluationRequest {
   ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+// Request message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesRequest {
   // Required. The name of the parent ModelEvaluation resource.
   // Format:
@@ -557,16 +610,21 @@ message BatchImportModelEvaluationSlicesRequest {
   ];
 
   // Required. Model evaluation slice resource to be imported.
-  repeated ModelEvaluationSlice model_evaluation_slices = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ModelEvaluationSlice model_evaluation_slices = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+// Response message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesResponse {
-  // Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
-  repeated string imported_model_evaluation_slices = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. List of imported
+  // [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+  repeated string imported_model_evaluation_slices = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+// Request message for
+// [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.
   // Format:
@@ -579,7 +637,8 @@ message GetModelEvaluationRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+// Request message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsRequest {
   // Required. The resource name of the Model to list the ModelEvaluations from.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -598,25 +657,31 @@ message ListModelEvaluationsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+// Response message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluation model_evaluations = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+// Request message for
+// [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
 message GetModelEvaluationSliceRequest {
   // Required. The name of the ModelEvaluationSlice resource.
   // Format:
@@ -629,10 +694,11 @@ message GetModelEvaluationSliceRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+// Request message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesRequest {
-  // Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-  // from. Format:
+  // Required. The resource name of the ModelEvaluation to list the
+  // ModelEvaluationSlices from. Format:
   // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -651,21 +717,25 @@ message ListModelEvaluationSlicesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+// Response message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluationSlice model_evaluation_slices = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
index cd27fcc56488..e1d4a90079f4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
@@ -34,15 +34,18 @@ message GenericOperationMetadata {
   // E.g. single files that couldn't be read.
   // This field should never exceed 20 entries.
   // Status details field will contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was updated for the last time.
   // If the operation has finished (successfully or not), this is the finish
   // time.
-  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Details of operations that perform deletes of any entities.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_job.proto
index d424f09edbaf..66f862a4f7b7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_job.proto
@@ -62,16 +62,18 @@ message PipelineJob {
       }
     }
 
-    // Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-    // parameters of the PipelineJob. The parameters will be passed into
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-    // This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-    // pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+    // Deprecated. Use
+    // [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameter_values]
+    // instead. The runtime parameters of the PipelineJob. The parameters will
+    // be passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+    // such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
     map parameters = 1 [deprecated = true];
 
-    // Required. A path in a Cloud Storage bucket, which will be treated as the root
-    // output directory of the pipeline. It is used by the system to
+    // Required. A path in a Cloud Storage bucket, which will be treated as the
+    // root output directory of the pipeline. It is used by the system to
     // generate the paths of output artifacts. The artifact paths are generated
     // with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
     // specified output directory. The service account specified in this
@@ -80,10 +82,12 @@ message PipelineJob {
     string gcs_output_directory = 2 [(google.api.field_behavior) = REQUIRED];
 
     // The runtime parameters of the PipelineJob. The parameters will be
-    // passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
-    // at runtime. This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-    // using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+    // passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+    // pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+    // DSL.
     map parameter_values = 3;
 
     // Represents the failure policy of a pipeline. Currently, the default of a
@@ -108,16 +112,20 @@ message PipelineJob {
   string display_name = 2;
 
   // Output only. Pipeline creation time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this PipelineJob was most recently updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The spec of the pipeline.
   google.protobuf.Struct pipeline_spec = 7;
@@ -172,27 +180,32 @@ message PipelineJob {
   // resources being launched, if applied, such as Vertex AI
   // Training or Dataflow job. If left unspecified, the workload is not peered
   // with any network.
-  string network = 18 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 18 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
-  // A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
-  // be downloaded.
+  // A template uri from where the
+  // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec],
+  // if empty, will be downloaded.
   string template_uri = 19;
 
   // Output only. Pipeline template metadata. Will fill up fields if
-  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
-  PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+  // is from supported template registry.
+  PipelineTemplateMetadata template_metadata = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported
-// template registry. Currently, the only supported registry is Artifact
-// Registry.
+// Pipeline template metadata if
+// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+// is from supported template registry. Currently, the only supported registry
+// is Artifact Registry.
 message PipelineTemplateMetadata {
   // The version_name in artifact registry.
   //
-  // Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
-  // from supported template registry.
+  // Will always be presented in output if the
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
+  // is from supported template registry.
   //
   // Format is "sha256:abcdef123456...".
   string version = 3;
@@ -207,7 +220,8 @@ message PipelineJobDetail {
   Context pipeline_run_context = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime details of the tasks under the pipeline.
-  repeated PipelineTaskDetail task_details = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated PipelineTaskDetail task_details = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a task execution.
@@ -215,17 +229,17 @@ message PipelineTaskDetail {
   // A single record of the task status.
   message PipelineTaskStatus {
     // Output only. Update time of this status.
-    google.protobuf.Timestamp update_time = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp update_time = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The state of the task.
     State state = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The error that occurred during the state. May be set when the state is
-    // any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-    // If the state is FAILED, the error here is final and not going to be
-    // retried.
-    // If the state is a non-final state, the error indicates a system-error
-    // being retried.
+    // Output only. The error that occurred during the state. May be set when
+    // the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+    // FAILED state. If the state is FAILED, the error here is final and not
+    // going to be retried. If the state is a non-final state, the error
+    // indicates a system-error being retried.
     google.rpc.Status error = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
@@ -266,15 +280,16 @@ message PipelineTaskDetail {
 
     // Specifies that the task was not triggered because the task's trigger
     // policy is not satisfied. The trigger policy is specified in the
-    // `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
+    // `condition` field of
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
     NOT_TRIGGERED = 9;
   }
 
   // Output only. The system generated ID of the task.
   int64 task_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The id of the parent task if the task is within a component scope.
-  // Empty if the task is at the root level.
+  // Output only. The id of the parent task if the task is within a component
+  // scope. Empty if the task is at the root level.
   int64 parent_task_id = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The user specified name of the task that is defined in
@@ -282,16 +297,20 @@ message PipelineTaskDetail {
   string task_name = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task create time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The detailed execution info.
-  PipelineTaskExecutorDetail executor_detail = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  PipelineTaskExecutorDetail executor_detail = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. State of the task.
   State state = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -303,15 +322,18 @@ message PipelineTaskDetail {
   // Only populated when the task's state is FAILED or CANCELLED.
   google.rpc.Status error = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of task status. This field keeps a record of task status evolving
-  // over time.
-  repeated PipelineTaskStatus pipeline_task_status = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. A list of task status. This field keeps a record of task
+  // status evolving over time.
+  repeated PipelineTaskStatus pipeline_task_status = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime input artifacts of the task.
-  map inputs = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map inputs = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime output artifacts of the task.
-  map outputs = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map outputs = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a pipeline executor.
@@ -319,7 +341,9 @@ message PipelineTaskExecutorDetail {
   // The detail of a container execution. It contains the job names of the
   // lifecycle of a container execution.
   message ContainerDetail {
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+    // execution.
     string main_job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -327,10 +351,11 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
-    // execution. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+    // pre-caching-check container execution. This job will be available if the
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events.
     string pre_caching_check_job = 2 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -338,23 +363,28 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container
     // executions. The list includes the all attempts in chronological order.
-    repeated string failed_main_jobs = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated string failed_main_jobs = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the
     // pre-caching-check container executions. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
-    // The list includes the all attempts in chronological order.
-    repeated string failed_pre_caching_check_jobs = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events. The list
+    // includes the all attempts in chronological order.
+    repeated string failed_pre_caching_check_jobs = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The detailed info for a custom job executor.
   message CustomJobDetail {
     option deprecated = true;
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1.CustomJob].
     string job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -365,12 +395,11 @@ message PipelineTaskExecutorDetail {
 
   oneof details {
     // Output only. The detailed info for a container executor.
-    ContainerDetail container_detail = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    ContainerDetail container_detail = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The detailed info for a custom job executor.
-    CustomJobDetail custom_job_detail = 2 [
-      deprecated = true,
-      (google.api.field_behavior) = OUTPUT_ONLY
-    ];
+    CustomJobDetail custom_job_detail = 2
+        [deprecated = true, (google.api.field_behavior) = OUTPUT_ONLY];
   }
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
index 0cd46b32902c..ada10871dc70 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
@@ -39,11 +39,13 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // `PipelineJob` resources (used for Vertex AI Pipelines).
 service PipelineService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a TrainingPipeline. A created TrainingPipeline right away will be
   // attempted to be run.
-  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
       body: "training_pipeline"
@@ -52,7 +54,8 @@ service PipelineService {
   }
 
   // Gets a TrainingPipeline.
-  rpc GetTrainingPipeline(GetTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc GetTrainingPipeline(GetTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -60,7 +63,8 @@ service PipelineService {
   }
 
   // Lists TrainingPipelines in a Location.
-  rpc ListTrainingPipelines(ListTrainingPipelinesRequest) returns (ListTrainingPipelinesResponse) {
+  rpc ListTrainingPipelines(ListTrainingPipelinesRequest)
+      returns (ListTrainingPipelinesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
     };
@@ -68,7 +72,8 @@ service PipelineService {
   }
 
   // Deletes a TrainingPipeline.
-  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -82,14 +87,19 @@ service PipelineService {
   // Cancels a TrainingPipeline.
   // Starts asynchronous cancellation on the TrainingPipeline. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the TrainingPipeline is not deleted; instead it becomes a pipeline with
-  // a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
-  // `CANCELLED`.
-  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest) returns (google.protobuf.Empty) {
+  // a
+  // [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
+  // is set to `CANCELLED`.
+  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/trainingPipelines/*}:cancel"
       body: "*"
@@ -103,7 +113,8 @@ service PipelineService {
       post: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
       body: "pipeline_job"
     };
-    option (google.api.method_signature) = "parent,pipeline_job,pipeline_job_id";
+    option (google.api.method_signature) =
+        "parent,pipeline_job,pipeline_job_id";
   }
 
   // Gets a PipelineJob.
@@ -115,7 +126,8 @@ service PipelineService {
   }
 
   // Lists PipelineJobs in a Location.
-  rpc ListPipelineJobs(ListPipelineJobsRequest) returns (ListPipelineJobsResponse) {
+  rpc ListPipelineJobs(ListPipelineJobsRequest)
+      returns (ListPipelineJobsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/pipelineJobs"
     };
@@ -123,7 +135,8 @@ service PipelineService {
   }
 
   // Deletes a PipelineJob.
-  rpc DeletePipelineJob(DeletePipelineJobRequest) returns (google.longrunning.Operation) {
+  rpc DeletePipelineJob(DeletePipelineJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/pipelineJobs/*}"
     };
@@ -137,14 +150,18 @@ service PipelineService {
   // Cancels a PipelineJob.
   // Starts asynchronous cancellation on the PipelineJob. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the PipelineJob is not deleted; instead it becomes a pipeline with
-  // a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
+  // a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
+  // with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
+  // to `Code.CANCELLED`, and
+  // [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
   // `CANCELLED`.
-  rpc CancelPipelineJob(CancelPipelineJobRequest) returns (google.protobuf.Empty) {
+  rpc CancelPipelineJob(CancelPipelineJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/pipelineJobs/*}:cancel"
       body: "*"
@@ -153,10 +170,11 @@ service PipelineService {
   }
 }
 
-// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+// Request message for
+// [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
 message CreateTrainingPipelineRequest {
-  // Required. The resource name of the Location to create the TrainingPipeline in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the TrainingPipeline
+  // in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -165,10 +183,12 @@ message CreateTrainingPipelineRequest {
   ];
 
   // Required. The TrainingPipeline to create.
-  TrainingPipeline training_pipeline = 2 [(google.api.field_behavior) = REQUIRED];
+  TrainingPipeline training_pipeline = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+// Request message for
+// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
 message GetTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource.
   // Format:
@@ -181,10 +201,11 @@ message GetTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+// Request message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
 message ListTrainingPipelinesRequest {
-  // Required. The resource name of the Location to list the TrainingPipelines from.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the TrainingPipelines
+  // from. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -219,25 +240,31 @@ message ListTrainingPipelinesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
-  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+// Response message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
 message ListTrainingPipelinesResponse {
   // List of TrainingPipelines in the requested page.
   repeated TrainingPipeline training_pipelines = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+// Request message for
+// [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
 message DeleteTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource to be deleted.
   // Format:
@@ -250,7 +277,8 @@ message DeleteTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+// Request message for
+// [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
 message CancelTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline to cancel.
   // Format:
@@ -263,7 +291,8 @@ message CancelTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
+// Request message for
+// [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
 message CreatePipelineJobRequest {
   // Required. The resource name of the Location to create the PipelineJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -286,7 +315,8 @@ message CreatePipelineJobRequest {
   string pipeline_job_id = 3;
 }
 
-// Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
+// Request message for
+// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
 message GetPipelineJobRequest {
   // Required. The name of the PipelineJob resource.
   // Format:
@@ -299,7 +329,8 @@ message GetPipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
+// Request message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
 message ListPipelineJobsRequest {
   // Required. The resource name of the Location to list the PipelineJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -351,8 +382,10 @@ message ListPipelineJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token] of the previous
-  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] call.
+  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+  // call.
   string page_token = 4;
 
   // A comma-separated list of fields to order by. The default sort order is in
@@ -374,17 +407,21 @@ message ListPipelineJobsRequest {
   google.protobuf.FieldMask read_mask = 7;
 }
 
-// Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
+// Response message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
 message ListPipelineJobsResponse {
   // List of PipelineJobs in the requested page.
   repeated PipelineJob pipeline_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
+// Request message for
+// [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
 message DeletePipelineJobRequest {
   // Required. The name of the PipelineJob resource to be deleted.
   // Format:
@@ -397,7 +434,8 @@ message DeletePipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
+// Request message for
+// [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
 message CancelPipelineJobRequest {
   // Required. The name of the PipelineJob to cancel.
   // Format:
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
index 36096fd9ef2e..e2f5e420293d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
@@ -35,7 +35,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // A service for online predictions and explanations.
 service PredictionService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Perform an online prediction.
   rpc Predict(PredictRequest) returns (PredictResponse) {
@@ -50,11 +51,13 @@ service PredictionService {
   //
   // The response includes the following HTTP headers:
   //
-  // * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
+  // * `X-Vertex-AI-Endpoint-Id`: ID of the
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
   // prediction.
   //
-  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel]
-  // that served this prediction.
+  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+  // [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
+  // prediction.
   rpc RawPredict(RawPredictRequest) returns (google.api.HttpBody) {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:rawPredict"
@@ -65,10 +68,12 @@ service PredictionService {
 
   // Perform an online explanation.
   //
-  // If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified,
-  // the corresponding DeployModel must have
+  // If
+  // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+  // is specified, the corresponding DeployModel must have
   // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
-  // populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
+  // populated. If
+  // [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
   // is not specified, all DeployedModels must have
   // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
   // populated. Only deployed AutoML tabular Models have
@@ -78,11 +83,13 @@ service PredictionService {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:explain"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,instances,parameters,deployed_model_id";
+    option (google.api.method_signature) =
+        "endpoint,instances,parameters,deployed_model_id";
   }
 }
 
-// Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+// Request message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
 message PredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -103,16 +110,19 @@ message PredictRequest {
   // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 3;
 }
 
-// Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+// Response message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
 message PredictResponse {
   // The predictions that are the output of the predictions call.
   // The schema of any single prediction may be specified via Endpoint's
@@ -124,8 +134,8 @@ message PredictResponse {
   // ID of the Endpoint's DeployedModel that served this prediction.
   string deployed_model_id = 2;
 
-  // Output only. The resource name of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The resource name of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model = 3 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -133,16 +143,18 @@ message PredictResponse {
     }
   ];
 
-  // Output only. The version ID of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The version ID of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model_version_id = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
-  // the DeployedModel that this prediction hits.
+  // Output only. The [display
+  // name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
+  // deployed as the DeployedModel that this prediction hits.
   string model_display_name = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
+// Request message for
+// [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
 message RawPredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -156,21 +168,24 @@ message RawPredictRequest {
 
   // The prediction input. Supports HTTP headers and arbitrary data payload.
   //
-  // A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it
-  // supports per request. When this limit it is exceeded for an AutoML model,
-  // the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error.
-  // When this limit is exceeded for a custom-trained model, the behavior varies
-  // depending on the model.
+  // A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
+  // upper limit on the number of instances it supports per request. When this
+  // limit it is exceeded for an AutoML model, the
+  // [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
+  // method returns an error. When this limit is exceeded for a custom-trained
+  // model, the behavior varies depending on the model.
   //
   // You can specify the schema for each instance in the
   // [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
-  // field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the
-  // `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
+  // field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
+  // schema applies when you deploy the `Model` as a `DeployedModel` to an
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
   // method.
   google.api.HttpBody http_body = 2;
 }
 
-// Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+// Request message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
 message ExplainRequest {
   // Required. The name of the Endpoint requested to serve the explanation.
   // Format:
@@ -191,18 +206,20 @@ message ExplainRequest {
   // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
   // If specified, overrides the
-  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] of the DeployedModel.
-  // Can be used for explaining prediction results with different
-  // configurations, such as:
+  // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
+  // of the DeployedModel. Can be used for explaining prediction results with
+  // different configurations, such as:
   //  - Explaining top-5 predictions results as opposed to top-1;
   //  - Increasing path count or step count of the attribution methods to reduce
   //    approximate errors;
@@ -210,22 +227,27 @@ message ExplainRequest {
   ExplanationSpecOverride explanation_spec_override = 5;
 
   // If specified, this ExplainRequest will be served by the chosen
-  // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
+  // DeployedModel, overriding
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
   string deployed_model_id = 3;
 }
 
-// Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
+// Response message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
 message ExplainResponse {
-  // The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+  // The explanations of the Model's
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
   //
-  // It has the same number of elements as [instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
-  // to be explained.
+  // It has the same number of elements as
+  // [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
+  // explained.
   repeated Explanation explanations = 1;
 
   // ID of the Endpoint's DeployedModel that served this explanation.
   string deployed_model_id = 2;
 
   // The predictions that are the output of the predictions call.
-  // Same as [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
+  // Same as
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
   repeated google.protobuf.Value predictions = 3;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/saved_query.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/saved_query.proto
index 5332222d262b..ec9ec0c9f3b8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/saved_query.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/saved_query.proto
@@ -49,10 +49,12 @@ message SavedQuery {
   google.protobuf.Value metadata = 12;
 
   // Output only. Timestamp when this SavedQuery was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when SavedQuery was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Filters on the Annotations in the dataset.
   string annotation_filter = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -79,7 +81,7 @@ message SavedQuery {
   // "overwrite" update happens.
   string etag = 8;
 
-  // Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-  // training.
+  // Output only. If the Annotations belonging to the SavedQuery can be used for
+  // AutoML training.
   bool support_automl_training = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
index 4428747165e3..d186592a578e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
@@ -49,13 +49,15 @@ message SpecialistPool {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. The number of managers in this SpecialistPool.
-  int32 specialist_managers_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  int32 specialist_managers_count = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of the managers in the SpecialistPool.
   repeated string specialist_manager_emails = 4;
 
   // Output only. The resource name of the pending data labeling jobs.
-  repeated string pending_data_labeling_jobs = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string pending_data_labeling_jobs = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of workers in the SpecialistPool.
   repeated string specialist_worker_emails = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
index c45cc767b42b..982b1395a5e6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // CrowdCompute console.
 service SpecialistPoolService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a SpecialistPool.
-  rpc CreateSpecialistPool(CreateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc CreateSpecialistPool(CreateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/specialistPools"
       body: "specialist_pool"
@@ -65,7 +67,8 @@ service SpecialistPoolService {
   }
 
   // Lists SpecialistPools in a Location.
-  rpc ListSpecialistPools(ListSpecialistPoolsRequest) returns (ListSpecialistPoolsResponse) {
+  rpc ListSpecialistPools(ListSpecialistPoolsRequest)
+      returns (ListSpecialistPoolsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/specialistPools"
     };
@@ -73,7 +76,8 @@ service SpecialistPoolService {
   }
 
   // Deletes a SpecialistPool as well as all Specialists in the pool.
-  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/specialistPools/*}"
     };
@@ -85,7 +89,8 @@ service SpecialistPoolService {
   }
 
   // Updates a SpecialistPool.
-  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{specialist_pool.name=projects/*/locations/*/specialistPools/*}"
       body: "specialist_pool"
@@ -98,7 +103,8 @@ service SpecialistPoolService {
   }
 }
 
-// Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
 message CreateSpecialistPoolRequest {
   // Required. The parent Project name for the new SpecialistPool.
   // The form is `projects/{project}/locations/{location}`.
@@ -120,7 +126,8 @@ message CreateSpecialistPoolOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+// Request message for
+// [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
 message GetSpecialistPoolRequest {
   // Required. The name of the SpecialistPool resource.
   // The form is
@@ -133,7 +140,8 @@ message GetSpecialistPoolRequest {
   ];
 }
 
-// Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+// Request message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsRequest {
   // Required. The name of the SpecialistPool's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -148,16 +156,19 @@ message ListSpecialistPoolsRequest {
   int32 page_size = 2;
 
   // The standard list page token.
-  // Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
-  // the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
-  // first page if empty.
+  // Typically obtained by
+  // [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
+  // of the previous
+  // [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
+  // call. Return first page if empty.
   string page_token = 3;
 
   // Mask specifying which fields to read. FieldMask represents a set of
   google.protobuf.FieldMask read_mask = 4;
 }
 
-// Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+// Response message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsResponse {
   // A list of SpecialistPools that matches the specified filter in the request.
   repeated SpecialistPool specialist_pools = 1;
@@ -166,7 +177,8 @@ message ListSpecialistPoolsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+// Request message for
+// [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
 message DeleteSpecialistPoolRequest {
   // Required. The resource name of the SpecialistPool to delete. Format:
   // `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
@@ -183,20 +195,22 @@ message DeleteSpecialistPoolRequest {
   bool force = 2;
 }
 
-// Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolRequest {
   // Required. The SpecialistPool which replaces the resource on the server.
   SpecialistPool specialist_pool = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Runtime operation metadata for
 // [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolOperationMetadata {
-  // Output only. The name of the SpecialistPool to which the specialists are being added.
-  // Format:
+  // Output only. The name of the SpecialistPool to which the specialists are
+  // being added. Format:
   // `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
   string specialist_pool = 1 [
     (google.api.field_behavior) = OUTPUT_ONLY,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
index c61a4a3feb18..7a949bc8f31a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
@@ -67,7 +67,8 @@ message Study {
   State state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time at which the study was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. A human readable reason why the Study is inactive.
   // This should be empty if a study is ACTIVE or COMPLETED.
@@ -86,7 +87,8 @@ message Trial {
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
-    // [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+    // [StudySpec's
+    // Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
     string parameter_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the parameter.
@@ -139,17 +141,21 @@ message Trial {
   // Output only. A list of measurements that are strictly lexicographically
   // ordered by their induced tuples (steps, elapsed_duration).
   // These are used for early stopping computations.
-  repeated Measurement measurements = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated Measurement measurements = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the Trial was started.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the Trial's status changed to `SUCCEEDED` or
+  // `INFEASIBLE`.
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The identifier of the client that originally requested this Trial.
-  // Each client is identified by a unique client_id. When a client
-  // asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+  // Output only. The identifier of the client that originally requested this
+  // Trial. Each client is identified by a unique client_id. When a client asks
+  // for a suggestion, Vertex AI Vizier will assign it a Trial. The client
   // should evaluate the Trial, complete it, and report back to Vertex AI
   // Vizier. If suggestion is asked again by same client_id before the Trial is
   // completed, the same Trial will be returned. Multiple clients with
@@ -173,9 +179,11 @@ message Trial {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if this trial is part of
-  // a [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob] and the job's
-  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access] field
-  // is `true`.
+  // a
+  // [HyperparameterTuningJob][google.cloud.aiplatform.v1.HyperparameterTuningJob]
+  // and the job's
+  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1.CustomJobSpec.enable_web_access]
+  // field is `true`.
   //
   // The keys are names of each node used for the trial; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -183,7 +191,8 @@ message Trial {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map web_access_uris = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map web_access_uris = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents specification of a Study.
@@ -202,8 +211,8 @@ message StudySpec {
       MINIMIZE = 2;
     }
 
-    // Required. The ID of the metric. Must not contain whitespaces and must be unique
-    // amongst all MetricSpecs.
+    // Required. The ID of the metric. Must not contain whitespaces and must be
+    // unique amongst all MetricSpecs.
     string metric_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Required. The optimization goal of the metric.
@@ -298,8 +307,8 @@ message StudySpec {
 
       // Represents the spec to match categorical values from parent parameter.
       message CategoricalValueCondition {
-        // Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-        // All values must exist in `categorical_value_spec` of parent
+        // Required. Matches values of the parent parameter of 'CATEGORICAL'
+        // type. All values must exist in `categorical_value_spec` of parent
         // parameter.
         repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
       }
@@ -357,8 +366,8 @@ message StudySpec {
       DiscreteValueSpec discrete_value_spec = 5;
     }
 
-    // Required. The ID of the parameter. Must not contain whitespaces and must be unique
-    // amongst all ParameterSpecs.
+    // Required. The ID of the parameter. Must not contain whitespaces and must
+    // be unique amongst all ParameterSpecs.
     string parameter_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // How the parameter should be scaled.
@@ -379,9 +388,11 @@ message StudySpec {
   // Trial. Early stopping is requested for the current Trial if there is very
   // low probability to exceed the optimal value found so far.
   message DecayCurveAutomatedStoppingSpec {
-    // True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each
-    // Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used
-    // as the x-axis.
+    // True if
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
+    // is used as the x-axis of each Trials Decay Curve. Otherwise,
+    // [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
+    // will be used as the x-axis.
     bool use_elapsed_duration = 1;
   }
 
@@ -392,9 +403,10 @@ message StudySpec {
   // values reported by the Trial in each measurement.
   message MedianAutomatedStoppingSpec {
     // True if median automated stopping rule applies on
-    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]. It means that elapsed_duration
-    // field of latest measurement of current Trial is used to compute median
-    // objective value for each completed Trials.
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
+    // It means that elapsed_duration field of latest measurement of current
+    // Trial is used to compute median objective value for each completed
+    // Trials.
     bool use_elapsed_duration = 1;
   }
 
@@ -444,6 +456,15 @@ message StudySpec {
     // min_num_steps are overloaded to contain max_elapsed_seconds and
     // min_elapsed_seconds.
     bool use_elapsed_duration = 5;
+
+    // ConvexAutomatedStoppingSpec by default only updates the trials that needs
+    // to be early stopped using a newly trained auto-regressive model. When
+    // this flag is set to True, all stopped trials from the beginning are
+    // potentially updated in terms of their `final_measurement`. Also, note
+    // that the training logic of autoregressive models is different in this
+    // case. Enabling this option has shown better results and this may be the
+    // default option in the future.
+    optional bool update_all_stopped_trials = 6;
   }
 
   // The available search algorithms for the Study.
@@ -518,7 +539,8 @@ message StudySpec {
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The set of parameters to tune.
-  repeated ParameterSpec parameters = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ParameterSpec parameters = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
@@ -546,14 +568,16 @@ message Measurement {
     double value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Time that the Trial has been running at the point of this Measurement.
-  google.protobuf.Duration elapsed_duration = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time that the Trial has been running at the point of this
+  // Measurement.
+  google.protobuf.Duration elapsed_duration = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of steps the machine learning model has been trained for.
-  // Must be non-negative.
+  // Output only. The number of steps the machine learning model has been
+  // trained for. Must be non-negative.
   int64 step_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of metrics got by evaluating the objective functions using suggested
-  // Parameter values.
+  // Output only. A list of metrics got by evaluating the objective functions
+  // using suggested Parameter values.
   repeated Metric metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard.proto
index 8a19066ace65..a0c6aad55765 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard.proto
@@ -54,18 +54,21 @@ message Tensorboard {
   // this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-  // can either be a bucket or directory. Does not end with a '/'.
-  string blob_storage_path_prefix = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Consumer project Cloud Storage path prefix used to store blob
+  // data, which can either be a bucket or directory. Does not end with a '/'.
+  string blob_storage_path_prefix = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The number of Runs stored in this Tensorboard.
   int32 run_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Tensorboards.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_data.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_data.proto
index c65db6945552..6cc0f24d7bad 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_data.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_data.proto
@@ -30,19 +30,21 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 
 // All the data stored in a TensorboardTimeSeries.
 message TimeSeriesData {
-  // Required. The ID of the TensorboardTimeSeries, which will become the final component
-  // of the TensorboardTimeSeries' resource name
-  string tensorboard_time_series_id = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The ID of the TensorboardTimeSeries, which will become the final
+  // component of the TensorboardTimeSeries' resource name
+  string tensorboard_time_series_id = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Immutable. The value type of this time series. All the values in this time series data
-  // must match this value type.
+  // Required. Immutable. The value type of this time series. All the values in
+  // this time series data must match this value type.
   TensorboardTimeSeries.ValueType value_type = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
   // Required. Data points in this time series.
-  repeated TimeSeriesDataPoint values = 3 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesDataPoint values = 3
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // A TensorboardTimeSeries data point.
@@ -78,7 +80,8 @@ message TensorboardTensor {
   // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
   bytes value = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
+  // Optional. Version number of TensorProto used to serialize
+  // [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
   int32 version_number = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
@@ -91,8 +94,8 @@ message TensorboardBlobSequence {
 
 // One blob (e.g, image, graph) viewable on a blob metric plot.
 message TensorboardBlob {
-  // Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-  // stored in the Cloud Storage bucket of the consumer project.
+  // Output only. A URI safe key uniquely identifying a blob. Can be used to
+  // locate the blob stored in the Cloud Storage bucket of the consumer project.
   string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The bytes of the blob is not present unless it's returned by the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_experiment.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_experiment.proto
index 9d7fe1204cf1..30a334f2c904 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_experiment.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_experiment.proto
@@ -48,10 +48,12 @@ message TensorboardExperiment {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardExperiment was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardExperiment was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Datasets.
   //
@@ -73,6 +75,7 @@ message TensorboardExperiment {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+  // Immutable. Source of the TensorboardExperiment. Example: a custom training
+  // job.
   string source = 8 [(google.api.field_behavior) = IMMUTABLE];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_run.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_run.proto
index 0f7b5eff6a4b..25c373f605d1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_run.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_run.proto
@@ -50,10 +50,12 @@ message TensorboardRun {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardRun was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardRun was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your TensorboardRuns.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_service.proto
index ec59778bd1a1..07ea601dedac 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_service.proto
@@ -45,7 +45,8 @@ service TensorboardService {
       "https://www.googleapis.com/auth/cloud-platform.read-only";
 
   // Creates a Tensorboard.
-  rpc CreateTensorboard(CreateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc CreateTensorboard(CreateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*}/tensorboards"
       body: "tensorboard"
@@ -65,8 +66,18 @@ service TensorboardService {
     option (google.api.method_signature) = "name";
   }
 
+  // Returns a list of monthly active users for a given TensorBoard instance.
+  rpc ReadTensorboardUsage(ReadTensorboardUsageRequest)
+      returns (ReadTensorboardUsageResponse) {
+    option (google.api.http) = {
+      get: "/v1/{tensorboard=projects/*/locations/*/tensorboards/*}:readUsage"
+    };
+    option (google.api.method_signature) = "tensorboard";
+  }
+
   // Updates a Tensorboard.
-  rpc UpdateTensorboard(UpdateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc UpdateTensorboard(UpdateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard.name=projects/*/locations/*/tensorboards/*}"
       body: "tensorboard"
@@ -79,7 +90,8 @@ service TensorboardService {
   }
 
   // Lists Tensorboards in a Location.
-  rpc ListTensorboards(ListTensorboardsRequest) returns (ListTensorboardsResponse) {
+  rpc ListTensorboards(ListTensorboardsRequest)
+      returns (ListTensorboardsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*}/tensorboards"
     };
@@ -87,7 +99,8 @@ service TensorboardService {
   }
 
   // Deletes a Tensorboard.
-  rpc DeleteTensorboard(DeleteTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboard(DeleteTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*}"
     };
@@ -99,16 +112,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardExperiment.
-  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
       body: "tensorboard_experiment"
     };
-    option (google.api.method_signature) = "parent,tensorboard_experiment,tensorboard_experiment_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_experiment,tensorboard_experiment_id";
   }
 
   // Gets a TensorboardExperiment.
-  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -116,7 +132,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardExperiment.
-  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_experiment.name=projects/*/locations/*/tensorboards/*/experiments/*}"
       body: "tensorboard_experiment"
@@ -125,7 +142,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardExperiments in a Location.
-  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest) returns (ListTensorboardExperimentsResponse) {
+  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest)
+      returns (ListTensorboardExperimentsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
     };
@@ -133,7 +151,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardExperiment.
-  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -145,16 +164,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardRun.
-  rpc CreateTensorboardRun(CreateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc CreateTensorboardRun(CreateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
       body: "tensorboard_run"
     };
-    option (google.api.method_signature) = "parent,tensorboard_run,tensorboard_run_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_run,tensorboard_run_id";
   }
 
   // Batch create TensorboardRuns.
-  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest) returns (BatchCreateTensorboardRunsResponse) {
+  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest)
+      returns (BatchCreateTensorboardRunsResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs:batchCreate"
       body: "*"
@@ -171,7 +193,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardRun.
-  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_run.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
       body: "tensorboard_run"
@@ -180,7 +203,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardRuns in a Location.
-  rpc ListTensorboardRuns(ListTensorboardRunsRequest) returns (ListTensorboardRunsResponse) {
+  rpc ListTensorboardRuns(ListTensorboardRunsRequest)
+      returns (ListTensorboardRunsResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
     };
@@ -188,7 +212,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardRun.
-  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
     };
@@ -200,7 +225,8 @@ service TensorboardService {
   }
 
   // Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
-  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest) returns (BatchCreateTensorboardTimeSeriesResponse) {
+  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest)
+      returns (BatchCreateTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs/*/timeSeries:batchCreate"
       body: "*"
@@ -209,7 +235,8 @@ service TensorboardService {
   }
 
   // Creates a TensorboardTimeSeries.
-  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
       body: "tensorboard_time_series"
@@ -218,7 +245,8 @@ service TensorboardService {
   }
 
   // Gets a TensorboardTimeSeries.
-  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       get: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -226,16 +254,19 @@ service TensorboardService {
   }
 
   // Updates a TensorboardTimeSeries.
-  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       patch: "/v1/{tensorboard_time_series.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
       body: "tensorboard_time_series"
     };
-    option (google.api.method_signature) = "tensorboard_time_series,update_mask";
+    option (google.api.method_signature) =
+        "tensorboard_time_series,update_mask";
   }
 
   // Lists TensorboardTimeSeries in a Location.
-  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest) returns (ListTensorboardTimeSeriesResponse) {
+  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest)
+      returns (ListTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       get: "/v1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
     };
@@ -243,7 +274,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardTimeSeries.
-  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -256,10 +288,12 @@ service TensorboardService {
 
   // Reads multiple TensorboardTimeSeries' data. The data point number limit is
   // 1000 for scalars, 100 for tensors and blob references. If the number of
-  // data points stored is less than the limit, all data will be returned.
-  // Otherwise, that limit number of data points will be randomly selected from
+  // data points stored is less than the limit, all data is returned.
+  // Otherwise, the number limit of data points is randomly selected from
   // this time series and returned.
-  rpc BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest) returns (BatchReadTensorboardTimeSeriesDataResponse) {
+  rpc BatchReadTensorboardTimeSeriesData(
+      BatchReadTensorboardTimeSeriesDataRequest)
+      returns (BatchReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1/{tensorboard=projects/*/locations/*/tensorboards/*}/experiments/*/runs/*/timeSeries:batchRead"
     };
@@ -267,11 +301,12 @@ service TensorboardService {
   }
 
   // Reads a TensorboardTimeSeries' data. By default, if the number of data
-  // points stored is less than 1000, all data will be returned. Otherwise, 1000
-  // data points will be randomly selected from this time series and returned.
+  // points stored is less than 1000, all data is returned. Otherwise, 1000
+  // data points is randomly selected from this time series and returned.
   // This value can be changed by changing max_data_points, which can't be
   // greater than 10k.
-  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest) returns (ReadTensorboardTimeSeriesDataResponse) {
+  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest)
+      returns (ReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:read"
     };
@@ -282,7 +317,8 @@ service TensorboardService {
   // This is to allow reading blob data stored in consumer project's Cloud
   // Storage bucket without users having to obtain Cloud Storage access
   // permission.
-  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest) returns (stream ReadTensorboardBlobDataResponse) {
+  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest)
+      returns (stream ReadTensorboardBlobDataResponse) {
     option (google.api.http) = {
       get: "/v1/{time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:readBlobData"
     };
@@ -290,20 +326,21 @@ service TensorboardService {
   }
 
   // Write time series data points of multiple TensorboardTimeSeries in multiple
-  // TensorboardRun's. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest) returns (WriteTensorboardExperimentDataResponse) {
+  // TensorboardRun's. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest)
+      returns (WriteTensorboardExperimentDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_experiment=projects/*/locations/*/tensorboards/*/experiments/*}:write"
       body: "*"
     };
-    option (google.api.method_signature) = "tensorboard_experiment,write_run_data_requests";
+    option (google.api.method_signature) =
+        "tensorboard_experiment,write_run_data_requests";
   }
 
   // Write time series data points into multiple TensorboardTimeSeries under
-  // a TensorboardRun. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest) returns (WriteTensorboardRunDataResponse) {
+  // a TensorboardRun. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest)
+      returns (WriteTensorboardRunDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_run=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}:write"
       body: "*"
@@ -313,7 +350,8 @@ service TensorboardService {
 
   // Exports a TensorboardTimeSeries' data. Data is returned in paginated
   // responses.
-  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest) returns (ExportTensorboardTimeSeriesDataResponse) {
+  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest)
+      returns (ExportTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       post: "/v1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:exportTensorboardTimeSeries"
       body: "*"
@@ -322,7 +360,8 @@ service TensorboardService {
   }
 }
 
-// Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
+// Request message for
+// [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
 message CreateTensorboardRequest {
   // Required. The resource name of the Location to create the Tensorboard in.
   // Format: `projects/{project}/locations/{location}`
@@ -337,7 +376,8 @@ message CreateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
+// Request message for
+// [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
 message GetTensorboardRequest {
   // Required. The name of the Tensorboard resource.
   // Format:
@@ -350,7 +390,42 @@ message GetTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+// Request message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageRequest {
+  // Required. The name of the Tensorboard resource.
+  // Format:
+  // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+  string tensorboard = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Tensorboard"
+    }
+  ];
+}
+
+// Response message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageResponse {
+  // Per user usage data.
+  message PerUserUsageData {
+    // User's username
+    string username = 1;
+
+    // Number of times the user has read data within the Tensorboard.
+    int64 view_count = 2;
+  }
+
+  // Per month usage data
+  message PerMonthUsageData {
+    // Usage data for each user in the given month.
+    repeated PerUserUsageData user_usage_data = 1;
+  }
+
+  // Maps year-month (YYYYMM) string to per month usage data.
+  map monthly_usage_data = 1;
+}
+
+// Request message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
 message ListTensorboardsRequest {
   // Required. The resource name of the Location to list Tensorboards.
   // Format:
@@ -366,18 +441,18 @@ message ListTensorboardsRequest {
   string filter = 2;
 
   // The maximum number of Tensorboards to return. The service may return
-  // fewer than this value. If unspecified, at most 100 Tensorboards will be
-  // returned. The maximum value is 100; values above 100 will be coerced to
+  // fewer than this value. If unspecified, at most 100 Tensorboards are
+  // returned. The maximum value is 100; values above 100 are coerced to
   // 100.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -387,26 +462,30 @@ message ListTensorboardsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
+// Response message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
 message ListTensorboardsResponse {
   // The Tensorboards mathching the request.
   repeated Tensorboard tensorboards = 1;
 
-  // A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
+  // A token, which can be sent as
+  // [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
   // to retrieve the next page. If this field is omitted, there are no
   // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
+// Request message for
+// [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
 message UpdateTensorboardRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // Tensorboard resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Tensorboard's `name` field is used to identify the
   // Tensorboard to be updated. Format:
@@ -414,7 +493,8 @@ message UpdateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
+// Request message for
+// [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
 message DeleteTensorboardRequest {
   // Required. The name of the Tensorboard to be deleted.
   // Format:
@@ -427,10 +507,11 @@ message DeleteTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
+// Request message for
+// [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
 message CreateTensorboardExperimentRequest {
-  // Required. The resource name of the Tensorboard to create the TensorboardExperiment
-  // in. Format:
+  // Required. The resource name of the Tensorboard to create the
+  // TensorboardExperiment in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -442,15 +523,16 @@ message CreateTensorboardExperimentRequest {
   // The TensorboardExperiment to create.
   TensorboardExperiment tensorboard_experiment = 2;
 
-  // Required. The ID to use for the Tensorboard experiment, which will become the final
-  // component of the Tensorboard experiment's resource name.
+  // Required. The ID to use for the Tensorboard experiment, which becomes the
+  // final component of the Tensorboard experiment's resource name.
   //
   // This value should be 1-128 characters, and valid characters
   // are /[a-z][0-9]-/.
   string tensorboard_experiment_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
+// Request message for
+// [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
 message GetTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment resource.
   // Format:
@@ -463,10 +545,11 @@ message GetTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+// Request message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsRequest {
-  // Required. The resource name of the Tensorboard to list TensorboardExperiments.
-  // Format:
+  // Required. The resource name of the Tensorboard to list
+  // TensorboardExperiments. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -480,17 +563,17 @@ message ListTensorboardExperimentsRequest {
 
   // The maximum number of TensorboardExperiments to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardExperiments will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardExperiments are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -500,34 +583,40 @@ message ListTensorboardExperimentsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
+// Response message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsResponse {
   // The TensorboardExperiments mathching the request.
   repeated TensorboardExperiment tensorboard_experiments = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
+// Request message for
+// [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
 message UpdateTensorboardExperimentRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardExperiment resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardExperiment's `name` field is used to identify the
   // TensorboardExperiment to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
-  TensorboardExperiment tensorboard_experiment = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardExperiment tensorboard_experiment = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
+// Request message for
+// [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
 message DeleteTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment to be deleted.
   // Format:
@@ -540,7 +629,8 @@ message DeleteTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardRuns in. Format:
@@ -556,19 +646,22 @@ message BatchCreateTensorboardRunsRequest {
 
   // Required. The request message specifying the TensorboardRuns to create.
   // A maximum of 1000 TensorboardRuns can be created in a batch.
-  repeated CreateTensorboardRunRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated CreateTensorboardRunRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsResponse {
   // The created TensorboardRuns.
   repeated TensorboardRun tensorboard_runs = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
+// Request message for
+// [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
 message CreateTensorboardRunRequest {
-  // Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-  // in. Format:
+  // Required. The resource name of the TensorboardExperiment to create the
+  // TensorboardRun in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -580,7 +673,7 @@ message CreateTensorboardRunRequest {
   // Required. The TensorboardRun to create.
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Tensorboard run, which will become the final
+  // Required. The ID to use for the Tensorboard run, which becomes the final
   // component of the Tensorboard run's resource name.
   //
   // This value should be 1-128 characters, and valid characters
@@ -588,7 +681,8 @@ message CreateTensorboardRunRequest {
   string tensorboard_run_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
+// Request message for
+// [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
 message GetTensorboardRunRequest {
   // Required. The name of the TensorboardRun resource.
   // Format:
@@ -601,7 +695,8 @@ message GetTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+// Request message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to list Blobs.
   // Format:
@@ -617,16 +712,18 @@ message ReadTensorboardBlobDataRequest {
   repeated string blob_ids = 2;
 }
 
-// Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
+// Response message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataResponse {
   // Blob messages containing blob bytes.
   repeated TensorboardBlob blobs = 1;
 }
 
-// Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+// Request message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsRequest {
-  // Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-  // Format:
+  // Required. The resource name of the TensorboardExperiment to list
+  // TensorboardRuns. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -639,18 +736,18 @@ message ListTensorboardRunsRequest {
   string filter = 2;
 
   // The maximum number of TensorboardRuns to return. The service may return
-  // fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-  // returned. The maximum value is 1000; values above 1000 will be coerced to
+  // fewer than this value. If unspecified, at most 50 TensorboardRuns are
+  // returned. The maximum value is 1000; values above 1000 are coerced to
   // 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -660,34 +757,39 @@ message ListTensorboardRunsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
+// Response message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsResponse {
   // The TensorboardRuns mathching the request.
   repeated TensorboardRun tensorboard_runs = 1;
 
-  // A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
+// Request message for
+// [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
 message UpdateTensorboardRunRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardRun resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-  // be updated. Format:
+  // Required. The TensorboardRun's `name` field is used to identify the
+  // TensorboardRun to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
+// Request message for
+// [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
 message DeleteTensorboardRunRequest {
   // Required. The name of the TensorboardRun to be deleted.
   // Format:
@@ -700,7 +802,8 @@ message DeleteTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardTimeSeries in.
@@ -716,18 +819,21 @@ message BatchCreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Required. The request message specifying the TensorboardTimeSeries to create.
-  // A maximum of 1000 TensorboardTimeSeries can be created in a batch.
-  repeated CreateTensorboardTimeSeriesRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the TensorboardTimeSeries to
+  // create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+  repeated CreateTensorboardTimeSeriesRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesResponse {
   // The created TensorboardTimeSeries.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
 message CreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardRun to create the
   // TensorboardTimeSeries in.
@@ -740,17 +846,20 @@ message CreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-  // will become the final component of the TensorboardTimeSeries's resource
-  // name.
-  // This value should match "[a-z0-9][a-z0-9-]{0, 127}"
-  string tensorboard_time_series_id = 3 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. The user specified unique ID to use for the
+  // TensorboardTimeSeries, which becomes the final component of the
+  // TensorboardTimeSeries's resource name. This value should match
+  // "[a-z0-9][a-z0-9-]{0, 127}"
+  string tensorboard_time_series_id = 3
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Required. The TensorboardTimeSeries to create.
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
 message GetTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries resource.
   // Format:
@@ -763,10 +872,11 @@ message GetTensorboardTimeSeriesRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesRequest {
-  // Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-  // Format:
+  // Required. The resource name of the TensorboardRun to list
+  // TensorboardTimeSeries. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -780,17 +890,17 @@ message ListTensorboardTimeSeriesRequest {
 
   // The maximum number of TensorboardTimeSeries to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardTimeSeries will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardTimeSeries are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -800,35 +910,41 @@ message ListTensorboardTimeSeriesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesResponse {
   // The TensorboardTimeSeries mathching the request.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
 message UpdateTensorboardTimeSeriesRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardTimeSeries resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardTimeSeries' `name` field is used to identify the
   // TensorboardTimeSeries to be updated.
   // Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
 message DeleteTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries to be deleted.
   // Format:
@@ -844,11 +960,12 @@ message DeleteTensorboardTimeSeriesRequest {
 // Request message for
 // [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
 message BatchReadTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-  // read data from. Format:
+  // Required. The resource name of the Tensorboard containing
+  // TensorboardTimeSeries to read data from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-  // The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-  // resources of this Tensorboard.
+  // The TensorboardTimeSeries referenced by
+  // [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+  // must be sub resources of this Tensorboard.
   string tensorboard = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -856,7 +973,8 @@ message BatchReadTensorboardTimeSeriesDataRequest {
     }
   ];
 
-  // Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+  // Required. The resource names of the TensorboardTimeSeries to read data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   repeated string time_series = 2 [
     (google.api.field_behavior) = REQUIRED,
@@ -873,7 +991,8 @@ message BatchReadTensorboardTimeSeriesDataResponse {
   repeated TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to read data from.
   // Format:
@@ -895,13 +1014,15 @@ message ReadTensorboardTimeSeriesDataRequest {
   string filter = 3;
 }
 
-// Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataResponse {
   // The returned time series data.
   TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+// Request message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
 message WriteTensorboardExperimentDataRequest {
   // Required. The resource name of the TensorboardExperiment to write data to.
   // Format:
@@ -914,15 +1035,16 @@ message WriteTensorboardExperimentDataRequest {
   ];
 
   // Required. Requests containing per-run TensorboardTimeSeries data to write.
-  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
-message WriteTensorboardExperimentDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
+message WriteTensorboardExperimentDataResponse {}
 
-// Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+// Request message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
 message WriteTensorboardRunDataRequest {
   // Required. The resource name of the TensorboardRun to write data to.
   // Format:
@@ -939,18 +1061,19 @@ message WriteTensorboardRunDataRequest {
   // Repeated writes to the same step will overwrite the existing value for that
   // step.
   // The upper limit of data points per write request is 5000.
-  repeated TimeSeriesData time_series_data = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesData time_series_data = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
-message WriteTensorboardRunDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
+message WriteTensorboardRunDataResponse {}
 
-// Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the TensorboardTimeSeries to export data from.
-  // Format:
+  // Required. The resource name of the TensorboardTimeSeries to export data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   string tensorboard_time_series = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -963,8 +1086,8 @@ message ExportTensorboardTimeSeriesDataRequest {
   string filter = 2;
 
   // The maximum number of data points to return per page.
-  // The default page_size will be 1000. Values must be between 1 and 10000.
-  // Values above 10000 will be coerced to 10000.
+  // The default page_size is 1000. Values must be between 1 and 10000.
+  // Values above 10000 are coerced to 10000.
   int32 page_size = 3;
 
   // A page token, received from a previous
@@ -977,12 +1100,13 @@ message ExportTensorboardTimeSeriesDataRequest {
   string page_token = 4;
 
   // Field to use to sort the TensorboardTimeSeries' data.
-  // By default, TensorboardTimeSeries' data will be returned in a pseudo random
+  // By default, TensorboardTimeSeries' data is returned in a pseudo random
   // order.
   string order_by = 5;
 }
 
-// Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataResponse {
   // The returned time series data points.
   repeated TimeSeriesDataPoint time_series_data_points = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_time_series.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_time_series.proto
index eff288e5d129..09af560fb8d9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_time_series.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/tensorboard_time_series.proto
@@ -37,16 +37,19 @@ message TensorboardTimeSeries {
 
   // Describes metadata for a TensorboardTimeSeries.
   message Metadata {
-    // Output only. Max step index of all data points within a TensorboardTimeSeries.
+    // Output only. Max step index of all data points within a
+    // TensorboardTimeSeries.
     int64 max_step = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Max wall clock timestamp of all data points within a
     // TensorboardTimeSeries.
-    google.protobuf.Timestamp max_wall_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp max_wall_time = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The largest blob sequence length (number of blobs) of all data points in
-    // this time series, if its ValueType is BLOB_SEQUENCE.
-    int64 max_blob_sequence_length = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // Output only. The largest blob sequence length (number of blobs) of all
+    // data points in this time series, if its ValueType is BLOB_SEQUENCE.
+    int64 max_blob_sequence_length = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a TensorboardTimeSeries.
@@ -85,22 +88,25 @@ message TensorboardTimeSeries {
   ];
 
   // Output only. Timestamp when this TensorboardTimeSeries was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardTimeSeries was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform a consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-  // Blob
+  // Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+  // Tensor, Blob
   string plugin_name = 8 [(google.api.field_behavior) = IMMUTABLE];
 
   // Data of the current plugin, with the size limited to 65KB.
   bytes plugin_data = 9;
 
-  // Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+  // Output only. Scalar, Tensor, or Blob metadata for this
+  // TensorboardTimeSeries.
   Metadata metadata = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
index ef5f35398e12..298cc49a1d6c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
@@ -37,8 +37,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // The TrainingPipeline orchestrates tasks associated with training a Model. It
 // always executes the training task, and optionally may also
 // export data from Vertex AI's Dataset which becomes the training input,
-// [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
-// Model.
+// [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to
+// Vertex AI, and evaluate the Model.
 message TrainingPipeline {
   option (google.api.resource) = {
     type: "aiplatform.googleapis.com/TrainingPipeline"
@@ -52,17 +52,20 @@ message TrainingPipeline {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Specifies Vertex AI owned input data that may be used for training the
-  // Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
-  // clear whether this config is used and if there are any special requirements
-  // on how it should be filled. If nothing about this config is mentioned in
-  // the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
-  // TrainingPipeline does not depend on this configuration.
+  // Model. The TrainingPipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // should make clear whether this config is used and if there are any special
+  // requirements on how it should be filled. If nothing about this config is
+  // mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that the TrainingPipeline does not depend on this
+  // configuration.
   InputDataConfig input_data_config = 3;
 
-  // Required. A Google Cloud Storage path to the YAML file that defines the training task
-  // which is responsible for producing the model artifact, and may also include
-  // additional auxiliary work.
-  // The definition files that can be used here are found in
+  // Required. A Google Cloud Storage path to the YAML file that defines the
+  // training task which is responsible for producing the model artifact, and
+  // may also include additional auxiliary work. The definition files that can
+  // be used here are found in
   // gs://google-cloud-aiplatform/schema/trainingjob/definition/.
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -70,30 +73,38 @@ message TrainingPipeline {
   string training_task_definition = 4 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The training task's parameter(s), as specified in the
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
-  google.protobuf.Value training_task_inputs = 5 [(google.api.field_behavior) = REQUIRED];
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+  // `inputs`.
+  google.protobuf.Value training_task_inputs = 5
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+  // Output only. The metadata information as specified in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
   // `metadata`. This metadata is an auxiliary runtime and final information
   // about the training task. While the pipeline is running this information is
   // populated only at a best effort basis. Only present if the
-  // pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
-  google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+  // pipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // contains `metadata` object.
+  google.protobuf.Value training_task_metadata = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Describes the Model that may be uploaded (via
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
   // by this TrainingPipeline. The TrainingPipeline's
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
-  // description should be populated, and if there are any special requirements
-  // regarding how it should be filled. If nothing is mentioned in the
-  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-  // should not be filled and the training task either uploads the Model without
-  // a need of this information, or that training task does not support
-  // uploading a Model as part of the pipeline.
-  // When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]
+  // should make clear whether this Model description should be populated, and
+  // if there are any special requirements regarding how it should be filled. If
+  // nothing is mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that this field should not be filled and the
+  // training task either uploads the Model without a need of this information,
+  // or that training task does not support uploading a Model as part of the
+  // pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
   // the trained Model had been uploaded into Vertex AI, then the
-  // model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
-  // is always uploaded into the Project and Location in which this pipeline
-  // is.
+  // model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is
+  // populated. The Model is always uploaded into the Project and Location in
+  // which this pipeline is.
   Model model_to_upload = 7;
 
   // Optional. The ID to use for the uploaded Model, which will become the final
@@ -103,31 +114,36 @@ message TrainingPipeline {
   // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   string model_id = 22 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-  // new model, instead, it will become a new version of this `parent_model`.
+  // Optional. When specify this field, the `model_to_upload` will not be
+  // uploaded as a new model, instead, it will become a new version of this
+  // `parent_model`.
   string parent_model = 21 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The detailed state of the pipeline.
   PipelineState state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-  // `PIPELINE_STATE_CANCELLED`.
+  // Output only. Only populated when the pipeline's state is
+  // `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
   google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline for the first time entered the
   // `PIPELINE_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the TrainingPipeline entered any of the following states:
-  // `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+  // Output only. Time when the TrainingPipeline entered any of the following
+  // states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
   // `PIPELINE_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize TrainingPipelines.
   //
@@ -142,7 +158,8 @@ message TrainingPipeline {
   // TrainingPipeline will be secured by this key.
   //
   // Note: Model trained by this TrainingPipeline is also secured by this key if
-  // [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+  // [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec]
+  // is not set separately.
   EncryptionSpec encryption_spec = 18;
 }
 
@@ -151,7 +168,9 @@ message TrainingPipeline {
 message InputDataConfig {
   // The instructions how the input data should be split between the
   // training, validation and test sets.
-  // If no split type is provided, the [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split] is used by default.
+  // If no split type is provided, the
+  // [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split]
+  // is used by default.
   oneof split {
     // Split based on fractions defining the size of each set.
     FractionSplit fraction_split = 2;
@@ -235,9 +254,9 @@ message InputDataConfig {
     BigQueryDestination bigquery_destination = 10;
   }
 
-  // Required. The ID of the Dataset in the same Project and Location which data will be
-  // used to train the Model. The Dataset must use schema compatible with
-  // Model being trained, and what is compatible should be described in the
+  // Required. The ID of the Dataset in the same Project and Location which data
+  // will be used to train the Model. The Dataset must use schema compatible
+  // with Model being trained, and what is compatible should be described in the
   // used TrainingPipeline's [training_task_definition]
   // [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
   // For tabular Datasets, all their data is exported to training, to pick
@@ -251,9 +270,9 @@ message InputDataConfig {
   // are used in respectively training, validation or test role, depending on
   // the role of the DataItem they are on (for the auto-assigned that role is
   // decided by Vertex AI). A filter with same syntax as the one used in
-  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
-  // here it filters across all Annotations of the Dataset, and not just within
-  // a single DataItem.
+  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]
+  // may be used, but note here it filters across all Annotations of the
+  // Dataset, and not just within a single DataItem.
   string annotations_filter = 6;
 
   // Applicable only to custom training with Datasets that have DataItems and
@@ -265,30 +284,41 @@ message InputDataConfig {
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with
-  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
+  // Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
   //
   // Only Annotations that both match this schema and belong to DataItems not
   // ignored by the split method are used in respectively training, validation
   // or test role, depending on the role of the DataItem they are on.
   //
-  // When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
-  // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+  // When used in conjunction with
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
+  // and
   // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
   string annotation_schema_uri = 9;
 
   // Only applicable to Datasets that have SavedQueries.
   //
   // The ID of a SavedQuery (annotation set) under the Dataset specified by
-  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used
+  // for filtering Annotations for training.
   //
   // Only Annotations that are associated with this SavedQuery are used in
   // respectively training. When used in conjunction with
-  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-  // both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+  // and
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
   //
-  // Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
-  // specified as both of them represent the same thing: problem type.
+  // Only one of
+  // [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
+  // and
+  // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri]
+  // should be specified as both of them represent the same thing: problem type.
   string saved_query_id = 7;
 
   // Whether to persist the ML use assignment to data item system labels.
@@ -323,26 +353,29 @@ message FractionSplit {
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to validate the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to test the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/unmanaged_container_model.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/unmanaged_container_model.proto
index 62e3e459c8a2..c3d167d817ab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/unmanaged_container_model.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/unmanaged_container_model.proto
@@ -37,7 +37,8 @@ message UnmanagedContainerModel {
   // Contains the schemata used in Model's predictions and explanations
   PredictSchemata predict_schemata = 2;
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model.
-  ModelContainerSpec container_spec = 3 [(google.api.field_behavior) = INPUT_ONLY];
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model.
+  ModelContainerSpec container_spec = 3
+      [(google.api.field_behavior) = INPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/vizier_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/vizier_service.proto
index 70cc7a7a2698..da56853fa6eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/vizier_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/vizier_service.proto
@@ -41,7 +41,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1";
 // learning architectures.
 service VizierService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Study. A resource name will be generated after creation of the
   // Study.
@@ -92,7 +93,8 @@ service VizierService {
   // operation associated with the generation of Trial suggestions.
   // When this long-running operation succeeds, it will contain
   // a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
-  rpc SuggestTrials(SuggestTrialsRequest) returns (google.longrunning.Operation) {
+  rpc SuggestTrials(SuggestTrialsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/studies/*}/trials:suggest"
       body: "*"
@@ -157,7 +159,8 @@ service VizierService {
   // long-running operation. When the operation is successful,
   // it will contain a
   // [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
-  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest) returns (google.longrunning.Operation) {
+  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1/{trial_name=projects/*/locations/*/studies/*/trials/*}:checkTrialEarlyStoppingState"
       body: "*"
@@ -180,7 +183,8 @@ service VizierService {
   // optimal Trials for single-objective Study. The definition of
   // pareto-optimal can be checked in wiki page.
   // https://en.wikipedia.org/wiki/Pareto_efficiency
-  rpc ListOptimalTrials(ListOptimalTrialsRequest) returns (ListOptimalTrialsResponse) {
+  rpc ListOptimalTrials(ListOptimalTrialsRequest)
+      returns (ListOptimalTrialsResponse) {
     option (google.api.http) = {
       post: "/v1/{parent=projects/*/locations/*/studies/*}/trials:listOptimalTrials"
       body: "*"
@@ -189,7 +193,8 @@ service VizierService {
   }
 }
 
-// Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
+// Request message for
+// [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
 message GetStudyRequest {
   // Required. The name of the Study resource.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -201,7 +206,8 @@ message GetStudyRequest {
   ];
 }
 
-// Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
+// Request message for
+// [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
 message CreateStudyRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -216,7 +222,8 @@ message CreateStudyRequest {
   Study study = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+// Request message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
 message ListStudiesRequest {
   // Required. The resource name of the Location to list the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -236,7 +243,8 @@ message ListStudiesRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
+// Response message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
 message ListStudiesResponse {
   // The studies associated with the project.
   repeated Study studies = 1;
@@ -247,7 +255,8 @@ message ListStudiesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
+// Request message for
+// [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
 message DeleteStudyRequest {
   // Required. The name of the Study resource to be deleted.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -259,7 +268,8 @@ message DeleteStudyRequest {
   ];
 }
 
-// Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
+// Request message for
+// [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
 message LookupStudyRequest {
   // Required. The resource name of the Location to get the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -274,7 +284,8 @@ message LookupStudyRequest {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+// Request message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
 message SuggestTrialsRequest {
   // Required. The project and location that the Study belongs to.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -296,7 +307,8 @@ message SuggestTrialsRequest {
   string client_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
+// Response message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
 message SuggestTrialsResponse {
   // A list of Trials.
   repeated Trial trials = 1;
@@ -324,7 +336,8 @@ message SuggestTrialsMetadata {
   string client_id = 2;
 }
 
-// Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
+// Request message for
+// [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
 message CreateTrialRequest {
   // Required. The resource name of the Study to create the Trial in.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -339,7 +352,8 @@ message CreateTrialRequest {
   Trial trial = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
+// Request message for
+// [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
 message GetTrialRequest {
   // Required. The name of the Trial resource.
   // Format:
@@ -352,7 +366,8 @@ message GetTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+// Request message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
 message ListTrialsRequest {
   // Required. The resource name of the Study to list the Trial from.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -372,7 +387,8 @@ message ListTrialsRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
+// Response message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
 message ListTrialsResponse {
   // The Trials associated with the Study.
   repeated Trial trials = 1;
@@ -383,7 +399,8 @@ message ListTrialsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
+// Request message for
+// [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
 message AddTrialMeasurementRequest {
   // Required. The name of the trial to add measurement.
   // Format:
@@ -399,7 +416,8 @@ message AddTrialMeasurementRequest {
   Measurement measurement = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
+// Request message for
+// [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
 message CompleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -425,7 +443,8 @@ message CompleteTrialRequest {
   string infeasible_reason = 4 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
+// Request message for
+// [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
 message DeleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -438,7 +457,8 @@ message DeleteTrialRequest {
   ];
 }
 
-// Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+// Request message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateRequest {
   // Required. The Trial's name.
   // Format:
@@ -451,7 +471,8 @@ message CheckTrialEarlyStoppingStateRequest {
   ];
 }
 
-// Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
+// Response message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateResponse {
   // True if the Trial should stop.
   bool should_stop = 1;
@@ -471,7 +492,8 @@ message CheckTrialEarlyStoppingStateMetatdata {
   string trial = 3;
 }
 
-// Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
+// Request message for
+// [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
 message StopTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -484,7 +506,8 @@ message StopTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+// Request message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsRequest {
   // Required. The name of the Study that the optimal Trial belongs to.
   string parent = 1 [
@@ -495,7 +518,8 @@ message ListOptimalTrialsRequest {
   ];
 }
 
-// Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
+// Response message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsResponse {
   // The pareto-optimal Trials for multiple objective Study or the
   // optimal trial for single objective Study. The definition of
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequest.java
index 18a583e8aa7c..37f1b2b44106 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+ * Request message for
+ * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsRequest}
@@ -78,9 +79,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -106,9 +106,8 @@ public java.lang.String getContext() {
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -476,7 +475,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+   * Request message for
+   * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsRequest}
@@ -709,9 +709,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -736,9 +735,8 @@ public java.lang.String getContext() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -763,9 +761,8 @@ public com.google.protobuf.ByteString getContextBytes() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -789,9 +786,8 @@ public Builder setContext(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -811,9 +807,8 @@ public Builder clearContext() {
      *
      *
      * 
-     * Required. The resource name of the Context that the Artifacts and Executions
-     * belong to.
-     * Format:
+     * Required. The resource name of the Context that the Artifacts and
+     * Executions belong to. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
index 2ec20b31e083..801bd668b3d8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface AddContextArtifactsAndExecutionsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -44,9 +43,8 @@ public interface AddContextArtifactsAndExecutionsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Context that the Artifacts and Executions
-   * belong to.
-   * Format:
+   * Required. The resource name of the Context that the Artifacts and
+   * Executions belong to. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsResponse.java
index 2ed8eb73afa2..94b1db9ac020 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextArtifactsAndExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+ * Response message for
+ * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsResponse}
@@ -230,7 +231,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+   * Response message for
+   * [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenRequest.java
index 7b8d5b41da85..350cae3a2261 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+ * Request message for
+ * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextChildrenRequest}
@@ -366,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+   * Request message for
+   * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextChildrenRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenResponse.java
index 74a46af49fda..426b5e3db2cf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddContextChildrenResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+ * Response message for
+ * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextChildrenResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+   * Response message for
+   * [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddContextChildrenResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsRequest.java
index c1a5548a7724..f89733f8eed9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+ * Request message for
+ * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddExecutionEventsRequest}
@@ -371,7 +372,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+   * Request message for
+   * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddExecutionEventsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsResponse.java
index 7afa2e5ca194..7e3536d833b9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddExecutionEventsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+ * Response message for
+ * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddExecutionEventsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+   * Response message for
+   * [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddExecutionEventsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddTrialMeasurementRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddTrialMeasurementRequest.java
index a7e59c12a1fb..33bda1b95624 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddTrialMeasurementRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AddTrialMeasurementRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
+ * Request message for
+ * [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddTrialMeasurementRequest}
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
+   * Request message for
+   * [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.AddTrialMeasurementRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Annotation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Annotation.java
index 8ee42c2f3408..b11e9e1b19bc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Annotation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Annotation.java
@@ -136,8 +136,9 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -165,8 +166,9 @@ public java.lang.String getPayloadSchemaUri() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -344,8 +346,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -368,8 +370,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -473,7 +475,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -486,7 +489,8 @@ public int getLabelsCount() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -509,7 +513,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -522,7 +527,8 @@ public java.util.Map getLabels() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -536,7 +542,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -549,7 +556,8 @@ public java.util.Map getLabelsMap() {
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -567,7 +575,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -580,7 +589,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -1275,8 +1285,9 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1303,8 +1314,9 @@ public java.lang.String getPayloadSchemaUri() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1331,8 +1343,9 @@ public com.google.protobuf.ByteString getPayloadSchemaUriBytes() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1358,8 +1371,9 @@ public Builder setPayloadSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -1381,8 +1395,9 @@ public Builder clearPayloadSchemaUri() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-     * schema is defined as an [OpenAPI 3.0.2 Schema
+     * Required. Google Cloud Storage URI points to a YAML file describing
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -2000,8 +2015,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2023,8 +2038,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2046,8 +2061,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2068,8 +2083,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2086,8 +2101,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -2343,7 +2358,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2356,7 +2372,8 @@ public int getLabelsCount() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2379,7 +2396,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2392,7 +2410,8 @@ public java.util.Map getLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2406,7 +2425,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2419,7 +2439,8 @@ public java.util.Map getLabelsMap() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2438,7 +2459,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2451,7 +2473,8 @@ public java.lang.String getLabelsOrDefault(
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2477,7 +2500,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2490,7 +2514,8 @@ public Builder clearLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2512,7 +2537,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2525,7 +2551,8 @@ public java.util.Map getMutableLabels() {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
@@ -2546,7 +2573,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Optional. The labels with user-defined metadata to organize your
+     * Annotations.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -2559,7 +2587,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *   optional, name of the UI's annotation set this Annotation belongs to.
      *   If not set, the Annotation is not visible in the UI.
      * * "aiplatform.googleapis.com/payload_schema":
-     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     *   output only, its value is the
+     *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
      *   title.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationOrBuilder.java
index a9d697ccd4be..e8d9cf8eef2f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationOrBuilder.java
@@ -52,8 +52,9 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -70,8 +71,9 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-   * schema is defined as an [OpenAPI 3.0.2 Schema
+   * Required. Google Cloud Storage URI points to a YAML file describing
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -203,8 +205,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -216,8 +218,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 8 [(.google.api.field_behavior) = OPTIONAL];
@@ -271,7 +273,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -284,7 +287,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -295,7 +299,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -308,7 +313,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -322,7 +328,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -335,7 +342,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -346,7 +354,8 @@ public interface AnnotationOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -359,7 +368,8 @@ public interface AnnotationOrBuilder
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
@@ -375,7 +385,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Optional. The labels with user-defined metadata to organize your
+   * Annotations.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -388,7 +399,8 @@ java.lang.String getLabelsOrDefault(
    *   optional, name of the UI's annotation set this Annotation belongs to.
    *   If not set, the Annotation is not visible in the UI.
    * * "aiplatform.googleapis.com/payload_schema":
-   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   *   output only, its value is the
+   *   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
    *   title.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpec.java
index a5709b97fd30..21d4f8eddbcf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpec.java
@@ -275,8 +275,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -299,8 +299,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1391,8 +1391,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1414,8 +1414,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1437,8 +1437,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1459,8 +1459,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -1477,8 +1477,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpecOrBuilder.java
index bc5487031656..8298658f30c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AnnotationSpecOrBuilder.java
@@ -157,8 +157,8 @@ public interface AnnotationSpecOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -170,8 +170,8 @@ public interface AnnotationSpecOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
index 30e26b470fc4..0c163b853618 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
@@ -75,12 +75,14 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. Model predicted output if the input instance is constructed from the
-   * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Model predicted output if the input instance is constructed
+   * from the baselines of all the features defined in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The field name of the output is determined by the key in
    * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
    * If the Model's predicted output has multiple dimensions (rank > 1), this is
-   * the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * the value in the output located by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
    * If there are multiple baselines, their output values are averaged.
    * 

    *
@@ -101,9 +103,11 @@ public double getBaselineOutputValue() {
    * 
    * Output only. Model predicted output on the corresponding [explanation
    * instance][ExplainRequest.instances]. The field name of the output is
-   * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+   * determined by the key in
+   * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
    * If the Model predicted output has multiple dimensions, this is the value in
-   * the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * the output located by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
    * 

    *
    * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -121,11 +125,14 @@ public double getInstanceOutputValue() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -137,10 +144,14 @@ public double getInstanceOutputValue() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -157,11 +168,14 @@ public boolean hasFeatureAttributions() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -173,10 +187,14 @@ public boolean hasFeatureAttributions() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -195,11 +213,14 @@ public com.google.protobuf.Value getFeatureAttributions() {
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -211,10 +232,14 @@ public com.google.protobuf.Value getFeatureAttributions() {
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -296,8 +321,9 @@ public int getOutputIndex(int index) {
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * For example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -324,8 +350,9 @@ public java.lang.String getOutputDisplayName() {
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * For example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -355,19 +382,25 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
    *
    *
    * 
-   * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-   * explanation method. Lower value means more precise attributions.
+   * Output only. Error of
+   * [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * caused by approximation used in the explanation method. Lower value means
+   * more precise attributions.
    * * For Sampled Shapley
    * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
+   * increasing
+   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+   * might reduce the error.
    * * For Integrated Gradients
    * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-   * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
    * increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+   * might reduce the error.
+   * * For [XRAI
+   * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+   * might reduce the error.
    * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
    * for more information.
    * 

@@ -963,12 +996,14 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -984,12 +1019,14 @@ public double getBaselineOutputValue() {
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -1008,12 +1045,14 @@ public Builder setBaselineOutputValue(double value) {
      *
      *
      * 
-     * Output only. Model predicted output if the input instance is constructed from the
-     * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Model predicted output if the input instance is constructed
+     * from the baselines of all the features defined in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The field name of the output is determined by the key in
      * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model's predicted output has multiple dimensions (rank > 1), this is
-     * the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the value in the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * If there are multiple baselines, their output values are averaged.
      * 

      *
@@ -1035,9 +1074,11 @@ public Builder clearBaselineOutputValue() {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1054,9 +1095,11 @@ public double getInstanceOutputValue() {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1076,9 +1119,11 @@ public Builder setInstanceOutputValue(double value) {
      * 
      * Output only. Model predicted output on the corresponding [explanation
      * instance][ExplainRequest.instances]. The field name of the output is
-     * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+     * determined by the key in
+     * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
      * If the Model predicted output has multiple dimensions, this is the value in
-     * the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * the output located by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1102,11 +1147,14 @@ public Builder clearInstanceOutputValue() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1118,10 +1166,14 @@ public Builder clearInstanceOutputValue() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1137,11 +1189,14 @@ public boolean hasFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1153,10 +1208,14 @@ public boolean hasFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1178,11 +1237,14 @@ public com.google.protobuf.Value getFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1194,10 +1256,14 @@ public com.google.protobuf.Value getFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1221,11 +1287,14 @@ public Builder setFeatureAttributions(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1237,10 +1306,14 @@ public Builder setFeatureAttributions(com.google.protobuf.Value value) {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1261,11 +1334,14 @@ public Builder setFeatureAttributions(com.google.protobuf.Value.Builder builderF
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1277,10 +1353,14 @@ public Builder setFeatureAttributions(com.google.protobuf.Value.Builder builderF
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1308,11 +1388,14 @@ public Builder mergeFeatureAttributions(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1324,10 +1407,14 @@ public Builder mergeFeatureAttributions(com.google.protobuf.Value value) {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1349,11 +1436,14 @@ public Builder clearFeatureAttributions() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1365,10 +1455,14 @@ public Builder clearFeatureAttributions() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1384,11 +1478,14 @@ public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1400,10 +1497,14 @@ public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1423,11 +1524,14 @@ public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder() {
      *
      *
      * 
-     * Output only. Attributions of each explained feature. Features are extracted from
-     * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-     * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * Output only. Attributions of each explained feature. Features are extracted
+     * from the [prediction
+     * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * according to [explanation metadata for
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * The value is a struct, whose keys are the name of the feature. The values
-     * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * are how much the feature in the
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
      * contributed to the predicted result.
      * The format of the value is determined by the feature's input format:
      *   * If the feature is a scalar value, the attribution value is a
@@ -1439,10 +1543,14 @@ public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder() {
      *     attribution value struct are the same as the keys in the feature
      *     struct. The formats of the values in the attribution struct are
      *     determined by the formats of the values in the feature struct.
-     * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-     * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-     * describes the features and their attribution values (if it is populated).
+     * The
+     * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+     * field, pointed to by the
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+     * the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object, points to the schema file that describes the features and their
+     * attribution values (if it is populated).
      * 

      *
      * 
@@ -1632,8 +1740,9 @@ public Builder clearOutputIndex() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * For example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1659,8 +1768,9 @@ public java.lang.String getOutputDisplayName() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * For example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1686,8 +1796,9 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * For example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1712,8 +1823,9 @@ public Builder setOutputDisplayName(java.lang.String value) {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * For example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1734,8 +1846,9 @@ public Builder clearOutputDisplayName() {
      *
      *
      * 
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * For example, the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1763,19 +1876,25 @@ public Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+     * might reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

@@ -1792,19 +1911,25 @@ public double getApproximationError() {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+     * might reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

@@ -1824,19 +1949,25 @@ public Builder setApproximationError(double value) {
      *
      *
      * 
-     * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-     * explanation method. Lower value means more precise attributions.
+     * Output only. Error of
+     * [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * caused by approximation used in the explanation method. Lower value means
+     * more precise attributions.
      * * For Sampled Shapley
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
+     * increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+     * might reduce the error.
      * * For Integrated Gradients
      * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-     * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
      * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+     * might reduce the error.
+     * * For [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+     * might reduce the error.
      * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
      * for more information.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
index 09360f3afbf9..dd81926c74de 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
@@ -27,12 +27,14 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Model predicted output if the input instance is constructed from the
-   * baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Model predicted output if the input instance is constructed
+   * from the baselines of all the features defined in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The field name of the output is determined by the key in
    * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
    * If the Model's predicted output has multiple dimensions (rank > 1), this is
-   * the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * the value in the output located by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
    * If there are multiple baselines, their output values are averaged.
    * 

    *
@@ -48,9 +50,11 @@ public interface AttributionOrBuilder
    * 
    * Output only. Model predicted output on the corresponding [explanation
    * instance][ExplainRequest.instances]. The field name of the output is
-   * determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+   * determined by the key in
+   * [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
    * If the Model predicted output has multiple dimensions, this is the value in
-   * the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * the output located by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
    * 

    *
    * double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -63,11 +67,14 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -79,10 +86,14 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -96,11 +107,14 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -112,10 +126,14 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -129,11 +147,14 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Attributions of each explained feature. Features are extracted from
-   * the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-   * [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * Output only. Attributions of each explained feature. Features are extracted
+   * from the [prediction
+   * instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * according to [explanation metadata for
+   * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
    * The value is a struct, whose keys are the name of the feature. The values
-   * are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * are how much the feature in the
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
    * contributed to the predicted result.
    * The format of the value is determined by the feature's input format:
    *   * If the feature is a scalar value, the attribution value is a
@@ -145,10 +166,14 @@ public interface AttributionOrBuilder
    *     attribution value struct are the same as the keys in the feature
    *     struct. The formats of the values in the attribution struct are
    *     determined by the formats of the values in the feature struct.
-   * The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-   * pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-   * describes the features and their attribution values (if it is populated).
+   * The
+   * [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+   * field, pointed to by the
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+   * the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object, points to the schema file that describes the features and their
+   * attribution values (if it is populated).
    * 

    *
    * 
@@ -214,8 +239,9 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * For example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -231,8 +257,9 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+   * For example, the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -249,19 +276,25 @@ public interface AttributionOrBuilder
    *
    *
    * 
-   * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-   * explanation method. Lower value means more precise attributions.
+   * Output only. Error of
+   * [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * caused by approximation used in the explanation method. Lower value means
+   * more precise attributions.
    * * For Sampled Shapley
    * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
+   * increasing
+   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+   * might reduce the error.
    * * For Integrated Gradients
    * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-   * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
    * increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+   * might reduce the error.
+   * * For [XRAI
+   * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+   * might reduce the error.
    * See [this introduction](/vertex-ai/docs/explainable-ai/overview)
    * for more information.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResources.java
index d16e2bb59b9b..050eb9718a19 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResources.java
@@ -73,11 +73,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-   * on. If traffic against it increases, it may dynamically be deployed onto
-   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-   * of these extra replicas may be freed.
-   * If the requested value is too large, the deployment will error.
+   * Immutable. The minimum number of replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas up to
+   * [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+   * and as traffic decreases, some of these extra replicas may be freed. If the
+   * requested value is too large, the deployment will error.
    * 

    *
    * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -95,15 +96,15 @@ public int getMinReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, a no upper bound for scaling under heavy
-   * traffic will be assume, though Vertex AI may be unable to scale beyond
-   * certain replica number.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, a no upper bound for scaling under
+   * heavy traffic will be assume, though Vertex AI may be unable to scale
+   * beyond certain replica number.
    * 

    *
    * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -473,11 +474,12 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -492,11 +494,12 @@ public int getMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -514,11 +517,12 @@ public Builder setMinReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-     * on. If traffic against it increases, it may dynamically be deployed onto
-     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-     * of these extra replicas may be freed.
-     * If the requested value is too large, the deployment will error.
+     * Immutable. The minimum number of replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas up to
+     * [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+     * and as traffic decreases, some of these extra replicas may be freed. If the
+     * requested value is too large, the deployment will error.
      * 

      *
      * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -537,15 +541,15 @@ public Builder clearMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -560,15 +564,15 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
@@ -586,15 +590,15 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, a no upper bound for scaling under heavy
-     * traffic will be assume, though Vertex AI may be unable to scale beyond
-     * certain replica number.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, a no upper bound for scaling under
+     * heavy traffic will be assume, though Vertex AI may be unable to scale
+     * beyond certain replica number.
      * 

      *
      * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResourcesOrBuilder.java
index bff10dbbb347..cb2ba98c6ed7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AutomaticResourcesOrBuilder.java
@@ -27,11 +27,12 @@ public interface AutomaticResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
-   * on. If traffic against it increases, it may dynamically be deployed onto
-   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-   * of these extra replicas may be freed.
-   * If the requested value is too large, the deployment will error.
+   * Immutable. The minimum number of replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas up to
+   * [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+   * and as traffic decreases, some of these extra replicas may be freed. If the
+   * requested value is too large, the deployment will error.
    * 

    *
    * int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -44,15 +45,15 @@ public interface AutomaticResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, a no upper bound for scaling under heavy
-   * traffic will be assume, though Vertex AI may be unable to scale beyond
-   * certain replica number.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, a no upper bound for scaling under
+   * heavy traffic will be assume, though Vertex AI may be unable to scale
+   * beyond certain replica number.
    * 

    *
    * int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequest.java
index f18b0ecadcdc..87d4de6c5491 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+ * Request message for
+ * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -131,10 +132,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -150,10 +152,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -169,10 +172,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -187,10 +191,11 @@ public int getRequestsCount() {
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -205,10 +210,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest getRequests(int
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -396,7 +402,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+   * Request message for
+   * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest}
@@ -630,8 +637,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -656,8 +663,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -682,8 +689,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -707,8 +714,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -728,8 +735,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the EntityType to create the batch of Features under.
-     * Format:
+     * Required. The resource name of the EntityType to create the batch of
+     * Features under. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -773,10 +780,11 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -795,10 +803,11 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -816,10 +825,11 @@ public int getRequestsCount() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -837,10 +847,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest getRequests(int
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -865,10 +876,11 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -891,10 +903,11 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -918,10 +931,11 @@ public Builder addRequests(com.google.cloud.aiplatform.v1beta1.CreateFeatureRequ
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -946,10 +960,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -971,10 +986,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -997,10 +1013,11 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1023,10 +1040,11 @@ public Builder addAllRequests(
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1047,10 +1065,11 @@ public Builder clearRequests() {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1071,10 +1090,11 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1089,10 +1109,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.Builder getReque
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1111,10 +1132,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequestOrBuilder getRequ
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1134,10 +1156,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequestOrBuilder getRequ
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1153,10 +1176,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.Builder addReque
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
@@ -1173,10 +1197,11 @@ public com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.Builder addReque
      *
      *
      * 
-     * Required. The request message specifying the Features to create. All Features must be
-     * created under the same parent EntityType. The `parent` field in each child
-     * request message can be omitted. If `parent` is set in a child request, then
-     * the value must match the `parent` value in this request message.
+     * Required. The request message specifying the Features to create. All
+     * Features must be created under the same parent EntityType. The `parent`
+     * field in each child request message can be omitted. If `parent` is set in a
+     * child request, then the value must match the `parent` value in this request
+     * message.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequestOrBuilder.java
index b1e0fd27cdb4..a652589d1fab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -43,8 +43,8 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType to create the batch of Features under.
-   * Format:
+   * Required. The resource name of the EntityType to create the batch of
+   * Features under. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -60,10 +60,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -75,10 +76,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -90,10 +92,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -105,10 +108,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
@@ -121,10 +125,11 @@ public interface BatchCreateFeaturesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the Features to create. All Features must be
-   * created under the same parent EntityType. The `parent` field in each child
-   * request message can be omitted. If `parent` is set in a child request, then
-   * the value must match the `parent` value in this request message.
+   * Required. The request message specifying the Features to create. All
+   * Features must be created under the same parent EntityType. The `parent`
+   * field in each child request message can be omitted. If `parent` is set in a
+   * child request, then the value must match the `parent` value in this request
+   * message.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesResponse.java
index a9c3a01a8b22..5d8f673740e5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+ * Response message for
+ * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse}
@@ -302,7 +303,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+   * Response message for
+   * [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsRequest.java
index 27835befd765..435d6f79ca26 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+ * Request message for
+ * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest}
@@ -393,7 +394,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+   * Request message for
+   * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsResponse.java
index 6b229a79cac1..fa57e4cc35fd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardRunsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+ * Response message for
+ * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse}
@@ -306,7 +307,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+   * Response message for
+   * [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequest.java
index d64c2bde55d2..790c29f8a021 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest}
@@ -143,8 +144,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -160,8 +161,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -178,8 +179,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -194,8 +195,8 @@ public int getRequestsCount() {
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -211,8 +212,8 @@ public com.google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest ge
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -407,7 +408,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest}
@@ -813,8 +815,8 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -833,8 +835,8 @@ private void ensureRequestsIsMutable() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -852,8 +854,8 @@ public int getRequestsCount() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -872,8 +874,8 @@ public com.google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest ge
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -898,8 +900,8 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -923,8 +925,8 @@ public Builder setRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -949,8 +951,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -975,8 +977,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -999,8 +1001,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1024,8 +1026,8 @@ public Builder addRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1049,8 +1051,8 @@ public Builder addAllRequests(
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1071,8 +1073,8 @@ public Builder clearRequests() {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1093,8 +1095,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1109,8 +1111,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1129,8 +1131,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1151,8 +1153,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1170,8 +1172,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
@@ -1190,8 +1192,8 @@ public Builder removeRequests(int index) {
      *
      *
      * 
-     * Required. The request message specifying the TensorboardTimeSeries to create.
-     * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+     * Required. The request message specifying the TensorboardTimeSeries to
+     * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
index a983b9c3214b..0b9f3ab1156e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesRequestOrBuilder.java
@@ -68,8 +68,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -82,8 +82,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -95,8 +95,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -108,8 +108,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
@@ -123,8 +123,8 @@ public interface BatchCreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The request message specifying the TensorboardTimeSeries to create.
-   * A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+   * Required. The request message specifying the TensorboardTimeSeries to
+   * create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesResponse.java
index fb78718d930f..c0070b3d07e8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchCreateTensorboardTimeSeriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+ * Response message for
+ * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse}
@@ -329,7 +330,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+   * Response message for
+   * [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResources.java
index 27493824be9d..524cd201ed42 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResources.java
@@ -126,8 +126,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
    *
    *
    * 
-   * Immutable. The number of machine replicas used at the start of the batch operation.
-   * If not set, Vertex AI decides starting number, not greater than
+   * Immutable. The number of machine replicas used at the start of the batch
+   * operation. If not set, Vertex AI decides starting number, not greater than
    * [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
    * 

    *
@@ -146,8 +146,8 @@ public int getStartingReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of machine replicas the batch operation may be scaled
-   * to. The default value is 10.
+   * Immutable. The maximum number of machine replicas the batch operation may
+   * be scaled to. The default value is 10.
    * 

    *
    * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -754,8 +754,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -771,8 +771,8 @@ public int getStartingReplicaCount() {
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -791,8 +791,8 @@ public Builder setStartingReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The number of machine replicas used at the start of the batch operation.
-     * If not set, Vertex AI decides starting number, not greater than
+     * Immutable. The number of machine replicas used at the start of the batch
+     * operation. If not set, Vertex AI decides starting number, not greater than
      * [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
      * 

      *
@@ -812,8 +812,8 @@ public Builder clearStartingReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -828,8 +828,8 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
@@ -847,8 +847,8 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of machine replicas the batch operation may be scaled
-     * to. The default value is 10.
+     * Immutable. The maximum number of machine replicas the batch operation may
+     * be scaled to. The default value is 10.
      * 

      *
      * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResourcesOrBuilder.java
index b0c4afa2db4b..c739da5d48c9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchDedicatedResourcesOrBuilder.java
@@ -68,8 +68,8 @@ public interface BatchDedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The number of machine replicas used at the start of the batch operation.
-   * If not set, Vertex AI decides starting number, not greater than
+   * Immutable. The number of machine replicas used at the start of the batch
+   * operation. If not set, Vertex AI decides starting number, not greater than
    * [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
    * 

    *
@@ -83,8 +83,8 @@ public interface BatchDedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of machine replicas the batch operation may be scaled
-   * to. The default value is 10.
+   * Immutable. The maximum number of machine replicas the batch operation may
+   * be scaled to. The default value is 10.
    * 

    *
    * int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesRequest.java
index 2728f17bdd4e..f4dabab64b71 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+ * Request message for
+ * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest}
@@ -395,7 +396,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+   * Request message for
+   * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponse.java
index 71644e5d1232..b4a7394b44b5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+ * Response message for
+ * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse}
@@ -76,7 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -92,7 +94,8 @@ public com.google.protobuf.ProtocolStringList getImportedModelEvaluationSlicesLi
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -108,7 +111,8 @@ public int getImportedModelEvaluationSlicesCount() {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -125,7 +129,8 @@ public java.lang.String getImportedModelEvaluationSlices(int index) {
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -319,7 +324,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+   * Response message for
+   * [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse}
@@ -524,7 +530,8 @@ private void ensureImportedModelEvaluationSlicesIsMutable() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -540,7 +547,8 @@ public com.google.protobuf.ProtocolStringList getImportedModelEvaluationSlicesLi
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -556,7 +564,8 @@ public int getImportedModelEvaluationSlicesCount() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -573,7 +582,8 @@ public java.lang.String getImportedModelEvaluationSlices(int index) {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -590,7 +600,8 @@ public com.google.protobuf.ByteString getImportedModelEvaluationSlicesBytes(int
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -614,7 +625,8 @@ public Builder setImportedModelEvaluationSlices(int index, java.lang.String valu
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -637,7 +649,8 @@ public Builder addImportedModelEvaluationSlices(java.lang.String value) {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -659,7 +672,8 @@ public Builder addAllImportedModelEvaluationSlices(
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
@@ -678,7 +692,8 @@ public Builder clearImportedModelEvaluationSlices() {
      *
      *
      * 
-     * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+     * Output only. List of imported
+     * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
index fae162c56e6b..f7b7af8fbd21 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchImportModelEvaluationSlicesResponseOrBuilder.java
@@ -27,7 +27,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
@@ -70,7 +73,8 @@ public interface BatchImportModelEvaluationSlicesResponseOrBuilder
    *
    *
    * 
-   * Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+   * Output only. List of imported
+   * [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
index 4159c5043736..7204ef464cb9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+ * Runtime operation information for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata}
@@ -2158,7 +2159,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+   * Runtime operation information for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesRequest.java
index 5844c369c3f1..5617399922e3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+ * Request message for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest}
@@ -395,7 +396,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+   * Request message for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesResponse.java
index 8da5dc861806..d0af1e13d6a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+ * Response message for
+ * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse}
@@ -321,7 +322,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+   * Response message for
+   * [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
index 44f1edcc78a5..85a51a5a15b1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
@@ -22,10 +22,12 @@
  *
  *
  * 
- * A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
- * on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
- * predictions for significant portion of the instances fail, the job may finish
- * without attempting predictions for all remaining instances.
+ * A job that uses a
+ * [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce
+ * predictions on multiple [input
+ * instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+ * If predictions for significant portion of the instances fail, the job may
+ * finish without attempting predictions for all remaining instances.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob}
@@ -211,9 +213,12 @@ public interface InputConfigOrBuilder
    *
    *
    * 
-   * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-   * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] for Model's supported input
-   * formats, and how instances should be expressed via any of them.
+   * Configures the input to
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * See
+   * [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * for Model's supported input formats, and how instances should be expressed
+   * via any of them.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig}
@@ -678,9 +683,12 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-     * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] for Model's supported input
-     * formats, and how instances should be expressed via any of them.
+     * Configures the input to
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * See
+     * [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * for Model's supported input formats, and how instances should be expressed
+     * via any of them.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig}
@@ -1574,7 +1582,8 @@ public interface InstanceConfigOrBuilder
      * 
      * The format of the instance that the Model accepts. Vertex AI will
      * convert compatible
-     * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
      * to the specified format.
      * Supported values are:
      * * `object`: Each input is converted to JSON object format.
@@ -1585,17 +1594,21 @@ public interface InstanceConfigOrBuilder
      * * `array`: Each input is converted to JSON array format.
      *     * For `bigquery`, each row is converted to an array. The order
      *       of columns is determined by the BigQuery column order, unless
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * For `jsonl`, if each line of the JSONL input is an object,
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * Does not apply to `csv`, `file-list`, `tf-record`, or
      *       `tf-record-gzip`.
      * If not specified, Vertex AI converts the batch prediction input as
      * follows:
      *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
      *    order of columns is the same as defined in the file or table, unless
-     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
      *  * For `jsonl`, the prediction instance format is determined by
      *    each line of the input.
      *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -1617,7 +1630,8 @@ public interface InstanceConfigOrBuilder
      * 
      * The format of the instance that the Model accepts. Vertex AI will
      * convert compatible
-     * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
      * to the specified format.
      * Supported values are:
      * * `object`: Each input is converted to JSON object format.
@@ -1628,17 +1642,21 @@ public interface InstanceConfigOrBuilder
      * * `array`: Each input is converted to JSON array format.
      *     * For `bigquery`, each row is converted to an array. The order
      *       of columns is determined by the BigQuery column order, unless
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * For `jsonl`, if each line of the JSONL input is an object,
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * Does not apply to `csv`, `file-list`, `tf-record`, or
      *       `tf-record-gzip`.
      * If not specified, Vertex AI converts the batch prediction input as
      * follows:
      *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
      *    order of columns is the same as defined in the file or table, unless
-     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
      *  * For `jsonl`, the prediction instance format is determined by
      *    each line of the input.
      *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -1662,10 +1680,11 @@ public interface InstanceConfigOrBuilder
      * The name of the field that is considered as a key.
      * The values identified by the key field is not included in the transformed
      * instances that is sent to the Model. This is similar to
-     * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-     * the batch prediction output will not include the instances. Instead the
-     * output will only include the value of the key field, in a field named
-     * `key` in the output:
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
      *  * For `jsonl` output format, the output will have a `key` field
      *    instead of the `instance` field.
      *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -1686,10 +1705,11 @@ public interface InstanceConfigOrBuilder
      * The name of the field that is considered as a key.
      * The values identified by the key field is not included in the transformed
      * instances that is sent to the Model. This is similar to
-     * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-     * the batch prediction output will not include the instances. Instead the
-     * output will only include the value of the key field, in a field named
-     * `key` in the output:
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
      *  * For `jsonl` output format, the output will have a `key` field
      *    instead of the `instance` field.
      *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -1710,9 +1730,13 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1728,9 +1752,13 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1746,9 +1774,13 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1765,9 +1797,13 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1785,9 +1821,12 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1803,9 +1842,12 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1821,9 +1863,12 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1840,9 +1885,12 @@ public interface InstanceConfigOrBuilder
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -1915,7 +1963,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * 
      * The format of the instance that the Model accepts. Vertex AI will
      * convert compatible
-     * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
      * to the specified format.
      * Supported values are:
      * * `object`: Each input is converted to JSON object format.
@@ -1926,17 +1975,21 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * * `array`: Each input is converted to JSON array format.
      *     * For `bigquery`, each row is converted to an array. The order
      *       of columns is determined by the BigQuery column order, unless
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * For `jsonl`, if each line of the JSONL input is an object,
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * Does not apply to `csv`, `file-list`, `tf-record`, or
      *       `tf-record-gzip`.
      * If not specified, Vertex AI converts the batch prediction input as
      * follows:
      *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
      *    order of columns is the same as defined in the file or table, unless
-     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
      *  * For `jsonl`, the prediction instance format is determined by
      *    each line of the input.
      *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -1969,7 +2022,8 @@ public java.lang.String getInstanceType() {
      * 
      * The format of the instance that the Model accepts. Vertex AI will
      * convert compatible
-     * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+     * [batch prediction input instance
+     * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
      * to the specified format.
      * Supported values are:
      * * `object`: Each input is converted to JSON object format.
@@ -1980,17 +2034,21 @@ public java.lang.String getInstanceType() {
      * * `array`: Each input is converted to JSON array format.
      *     * For `bigquery`, each row is converted to an array. The order
      *       of columns is determined by the BigQuery column order, unless
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       is populated.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * For `jsonl`, if each line of the JSONL input is an object,
-     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+     *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *       must be populated for specifying field orders.
      *     * Does not apply to `csv`, `file-list`, `tf-record`, or
      *       `tf-record-gzip`.
      * If not specified, Vertex AI converts the batch prediction input as
      * follows:
      *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
      *    order of columns is the same as defined in the file or table, unless
-     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+     *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     *    is populated.
      *  * For `jsonl`, the prediction instance format is determined by
      *    each line of the input.
      *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2027,10 +2085,11 @@ public com.google.protobuf.ByteString getInstanceTypeBytes() {
      * The name of the field that is considered as a key.
      * The values identified by the key field is not included in the transformed
      * instances that is sent to the Model. This is similar to
-     * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-     * the batch prediction output will not include the instances. Instead the
-     * output will only include the value of the key field, in a field named
-     * `key` in the output:
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
      *  * For `jsonl` output format, the output will have a `key` field
      *    instead of the `instance` field.
      *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -2062,10 +2121,11 @@ public java.lang.String getKeyField() {
      * The name of the field that is considered as a key.
      * The values identified by the key field is not included in the transformed
      * instances that is sent to the Model. This is similar to
-     * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-     * the batch prediction output will not include the instances. Instead the
-     * output will only include the value of the key field, in a field named
-     * `key` in the output:
+     * specifying this name of the field in
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+     * In addition, the batch prediction output will not include the instances.
+     * Instead the output will only include the value of the key field, in a
+     * field named `key` in the output:
      *  * For `jsonl` output format, the output will have a `key` field
      *    instead of the `instance` field.
      *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -2099,9 +2159,13 @@ public com.google.protobuf.ByteString getKeyFieldBytes() {
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2119,9 +2183,13 @@ public com.google.protobuf.ProtocolStringList getIncludedFieldsList() {
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2139,9 +2207,13 @@ public int getIncludedFieldsCount() {
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2160,9 +2232,13 @@ public java.lang.String getIncludedFields(int index) {
      * 
      * Fields that will be included in the prediction instance that is
      * sent to the Model.
-     * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-     * included_fields also determines the order of the values in the array.
-     * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+     * If
+     * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+     * is `array`, the order of field names in included_fields also determines
+     * the order of the values in the array.
+     * When included_fields is populated,
+     * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2184,9 +2260,12 @@ public com.google.protobuf.ByteString getIncludedFieldsBytes(int index) {
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2204,9 +2283,12 @@ public com.google.protobuf.ProtocolStringList getExcludedFieldsList() {
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2224,9 +2306,12 @@ public int getExcludedFieldsCount() {
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2245,9 +2330,12 @@ public java.lang.String getExcludedFields(int index) {
      * 
      * Fields that will be excluded in the prediction instance that is
      * sent to the Model.
-     * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+     * Excluded will be attached to the batch prediction output if
+     * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
      * is not specified.
-     * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+     * When excluded_fields is populated,
+     * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+     * must be empty.
      * The input must be JSONL with objects at each line, CSV, BigQuery
      * or TfRecord.
      * 

@@ -2719,7 +2807,8 @@ public Builder mergeFrom(
        * 
        * The format of the instance that the Model accepts. Vertex AI will
        * convert compatible
-       * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
        * to the specified format.
        * Supported values are:
        * * `object`: Each input is converted to JSON object format.
@@ -2730,17 +2819,21 @@ public Builder mergeFrom(
        * * `array`: Each input is converted to JSON array format.
        *     * For `bigquery`, each row is converted to an array. The order
        *       of columns is determined by the BigQuery column order, unless
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * For `jsonl`, if each line of the JSONL input is an object,
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * Does not apply to `csv`, `file-list`, `tf-record`, or
        *       `tf-record-gzip`.
        * If not specified, Vertex AI converts the batch prediction input as
        * follows:
        *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
        *    order of columns is the same as defined in the file or table, unless
-       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
        *  * For `jsonl`, the prediction instance format is determined by
        *    each line of the input.
        *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2772,7 +2865,8 @@ public java.lang.String getInstanceType() {
        * 
        * The format of the instance that the Model accepts. Vertex AI will
        * convert compatible
-       * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
        * to the specified format.
        * Supported values are:
        * * `object`: Each input is converted to JSON object format.
@@ -2783,17 +2877,21 @@ public java.lang.String getInstanceType() {
        * * `array`: Each input is converted to JSON array format.
        *     * For `bigquery`, each row is converted to an array. The order
        *       of columns is determined by the BigQuery column order, unless
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * For `jsonl`, if each line of the JSONL input is an object,
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * Does not apply to `csv`, `file-list`, `tf-record`, or
        *       `tf-record-gzip`.
        * If not specified, Vertex AI converts the batch prediction input as
        * follows:
        *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
        *    order of columns is the same as defined in the file or table, unless
-       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
        *  * For `jsonl`, the prediction instance format is determined by
        *    each line of the input.
        *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2825,7 +2923,8 @@ public com.google.protobuf.ByteString getInstanceTypeBytes() {
        * 
        * The format of the instance that the Model accepts. Vertex AI will
        * convert compatible
-       * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
        * to the specified format.
        * Supported values are:
        * * `object`: Each input is converted to JSON object format.
@@ -2836,17 +2935,21 @@ public com.google.protobuf.ByteString getInstanceTypeBytes() {
        * * `array`: Each input is converted to JSON array format.
        *     * For `bigquery`, each row is converted to an array. The order
        *       of columns is determined by the BigQuery column order, unless
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * For `jsonl`, if each line of the JSONL input is an object,
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * Does not apply to `csv`, `file-list`, `tf-record`, or
        *       `tf-record-gzip`.
        * If not specified, Vertex AI converts the batch prediction input as
        * follows:
        *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
        *    order of columns is the same as defined in the file or table, unless
-       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
        *  * For `jsonl`, the prediction instance format is determined by
        *    each line of the input.
        *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2877,7 +2980,8 @@ public Builder setInstanceType(java.lang.String value) {
        * 
        * The format of the instance that the Model accepts. Vertex AI will
        * convert compatible
-       * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
        * to the specified format.
        * Supported values are:
        * * `object`: Each input is converted to JSON object format.
@@ -2888,17 +2992,21 @@ public Builder setInstanceType(java.lang.String value) {
        * * `array`: Each input is converted to JSON array format.
        *     * For `bigquery`, each row is converted to an array. The order
        *       of columns is determined by the BigQuery column order, unless
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * For `jsonl`, if each line of the JSONL input is an object,
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * Does not apply to `csv`, `file-list`, `tf-record`, or
        *       `tf-record-gzip`.
        * If not specified, Vertex AI converts the batch prediction input as
        * follows:
        *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
        *    order of columns is the same as defined in the file or table, unless
-       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
        *  * For `jsonl`, the prediction instance format is determined by
        *    each line of the input.
        *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2925,7 +3033,8 @@ public Builder clearInstanceType() {
        * 
        * The format of the instance that the Model accepts. Vertex AI will
        * convert compatible
-       * [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+       * [batch prediction input instance
+       * formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
        * to the specified format.
        * Supported values are:
        * * `object`: Each input is converted to JSON object format.
@@ -2936,17 +3045,21 @@ public Builder clearInstanceType() {
        * * `array`: Each input is converted to JSON array format.
        *     * For `bigquery`, each row is converted to an array. The order
        *       of columns is determined by the BigQuery column order, unless
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       is populated.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * For `jsonl`, if each line of the JSONL input is an object,
-       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+       *       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *       must be populated for specifying field orders.
        *     * Does not apply to `csv`, `file-list`, `tf-record`, or
        *       `tf-record-gzip`.
        * If not specified, Vertex AI converts the batch prediction input as
        * follows:
        *  * For `bigquery` and `csv`, the behavior is the same as `array`. The
        *    order of columns is the same as defined in the file or table, unless
-       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+       *    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       *    is populated.
        *  * For `jsonl`, the prediction instance format is determined by
        *    each line of the input.
        *  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -2981,10 +3094,11 @@ public Builder setInstanceTypeBytes(com.google.protobuf.ByteString value) {
        * The name of the field that is considered as a key.
        * The values identified by the key field is not included in the transformed
        * instances that is sent to the Model. This is similar to
-       * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-       * the batch prediction output will not include the instances. Instead the
-       * output will only include the value of the key field, in a field named
-       * `key` in the output:
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
        *  * For `jsonl` output format, the output will have a `key` field
        *    instead of the `instance` field.
        *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -3015,10 +3129,11 @@ public java.lang.String getKeyField() {
        * The name of the field that is considered as a key.
        * The values identified by the key field is not included in the transformed
        * instances that is sent to the Model. This is similar to
-       * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-       * the batch prediction output will not include the instances. Instead the
-       * output will only include the value of the key field, in a field named
-       * `key` in the output:
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
        *  * For `jsonl` output format, the output will have a `key` field
        *    instead of the `instance` field.
        *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -3049,10 +3164,11 @@ public com.google.protobuf.ByteString getKeyFieldBytes() {
        * The name of the field that is considered as a key.
        * The values identified by the key field is not included in the transformed
        * instances that is sent to the Model. This is similar to
-       * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-       * the batch prediction output will not include the instances. Instead the
-       * output will only include the value of the key field, in a field named
-       * `key` in the output:
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
        *  * For `jsonl` output format, the output will have a `key` field
        *    instead of the `instance` field.
        *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -3082,10 +3198,11 @@ public Builder setKeyField(java.lang.String value) {
        * The name of the field that is considered as a key.
        * The values identified by the key field is not included in the transformed
        * instances that is sent to the Model. This is similar to
-       * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-       * the batch prediction output will not include the instances. Instead the
-       * output will only include the value of the key field, in a field named
-       * `key` in the output:
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
        *  * For `jsonl` output format, the output will have a `key` field
        *    instead of the `instance` field.
        *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -3111,10 +3228,11 @@ public Builder clearKeyField() {
        * The name of the field that is considered as a key.
        * The values identified by the key field is not included in the transformed
        * instances that is sent to the Model. This is similar to
-       * specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-       * the batch prediction output will not include the instances. Instead the
-       * output will only include the value of the key field, in a field named
-       * `key` in the output:
+       * specifying this name of the field in
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+       * In addition, the batch prediction output will not include the instances.
+       * Instead the output will only include the value of the key field, in a
+       * field named `key` in the output:
        *  * For `jsonl` output format, the output will have a `key` field
        *    instead of the `instance` field.
        *  * For `csv`/`bigquery` output format, the output will have have a `key`
@@ -3154,9 +3272,13 @@ private void ensureIncludedFieldsIsMutable() {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3174,9 +3296,13 @@ public com.google.protobuf.ProtocolStringList getIncludedFieldsList() {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3194,9 +3320,13 @@ public int getIncludedFieldsCount() {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3215,9 +3345,13 @@ public java.lang.String getIncludedFields(int index) {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3236,9 +3370,13 @@ public com.google.protobuf.ByteString getIncludedFieldsBytes(int index) {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3264,9 +3402,13 @@ public Builder setIncludedFields(int index, java.lang.String value) {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3291,9 +3433,13 @@ public Builder addIncludedFields(java.lang.String value) {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3315,9 +3461,13 @@ public Builder addAllIncludedFields(java.lang.Iterable values)
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3338,9 +3488,13 @@ public Builder clearIncludedFields() {
        * 
        * Fields that will be included in the prediction instance that is
        * sent to the Model.
-       * If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-       * included_fields also determines the order of the values in the array.
-       * When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+       * If
+       * [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+       * is `array`, the order of field names in included_fields also determines
+       * the order of the values in the array.
+       * When included_fields is populated,
+       * [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3376,9 +3530,12 @@ private void ensureExcludedFieldsIsMutable() {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3396,9 +3553,12 @@ public com.google.protobuf.ProtocolStringList getExcludedFieldsList() {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3416,9 +3576,12 @@ public int getExcludedFieldsCount() {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3437,9 +3600,12 @@ public java.lang.String getExcludedFields(int index) {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3458,9 +3624,12 @@ public com.google.protobuf.ByteString getExcludedFieldsBytes(int index) {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3486,9 +3655,12 @@ public Builder setExcludedFields(int index, java.lang.String value) {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3513,9 +3685,12 @@ public Builder addExcludedFields(java.lang.String value) {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3537,9 +3712,12 @@ public Builder addAllExcludedFields(java.lang.Iterable values)
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3560,9 +3738,12 @@ public Builder clearExcludedFields() {
        * 
        * Fields that will be excluded in the prediction instance that is
        * sent to the Model.
-       * Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+       * Excluded will be attached to the batch prediction output if
+       * [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
        * is not specified.
-       * When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+       * When excluded_fields is populated,
+       * [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+       * must be empty.
        * The input must be JSONL with objects at each line, CSV, BigQuery
        * or TfRecord.
        * 

@@ -3667,11 +3848,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -3698,11 +3881,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -3729,11 +3914,13 @@ public interface OutputConfigOrBuilder
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -3760,13 +3947,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -3789,13 +3978,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -3818,13 +4009,15 @@ public interface OutputConfigOrBuilder
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -3839,7 +4032,8 @@ public interface OutputConfigOrBuilder
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the
      * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

@@ -3853,7 +4047,8 @@ public interface OutputConfigOrBuilder
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the
      * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

@@ -3871,9 +4066,12 @@ public interface OutputConfigOrBuilder
    *
    *
    * 
-   * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-   * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats] for supported output
-   * formats, and how predictions are expressed via any of them.
+   * Configures the output of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * See
+   * [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats]
+   * for supported output formats, and how predictions are expressed via any of
+   * them.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig}
@@ -3977,11 +4175,13 @@ public DestinationCase getDestinationCase() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4011,11 +4211,13 @@ public boolean hasGcsDestination() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4048,11 +4250,13 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      * Inside of it files `predictions_0001.<extension>`,
      * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
      * are created where `<extension>` depends on chosen
-     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-     * number of successfully predicted instances.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+     * and N may equal 0001 and depends on the total number of successfully
+     * predicted instances. If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then each such file contains predictions as per the
      * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
      * If prediction for any instance failed (partially or completely), then
      * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4087,13 +4291,15 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -4119,13 +4325,15 @@ public boolean hasBigqueryDestination() {
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -4154,13 +4362,15 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      * become underscores), and timestamp is in
      * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
      * two tables will be created, `predictions`, and `errors`.
-     * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-     * defined then the tables have columns as follows: The `predictions`
-     * table contains instances for which the prediction succeeded, it
-     * has columns as per a concatenation of the Model's instance and
-     * prediction schemata. The `errors` table contains rows for which the
-     * prediction has failed, it has instance columns, as per the
+     * If the Model has both
+     * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+     * schemata defined then the tables have columns as follows: The
+     * `predictions` table contains instances for which the prediction
+     * succeeded, it has columns as per a concatenation of the Model's
+     * instance and prediction schemata. The `errors` table contains rows for
+     * which the prediction has failed, it has instance columns, as per the
      * instance schema, followed by a single "errors" column, which as values
      * has [google.rpc.Status][google.rpc.Status]
      * represented as a STRUCT, and containing only `code` and `message`.
@@ -4183,7 +4393,8 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the
      * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

@@ -4208,7 +4419,8 @@ public java.lang.String getPredictionsFormat() {
      *
      *
      * 
-     * Required. The format in which Vertex AI gives the predictions, must be one of the
+     * Required. The format in which Vertex AI gives the predictions, must be
+     * one of the
      * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

@@ -4436,9 +4648,12 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-     * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats] for supported output
-     * formats, and how predictions are expressed via any of them.
+     * Configures the output of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * See
+     * [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats]
+     * for supported output formats, and how predictions are expressed via any of
+     * them.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig}
@@ -4697,11 +4912,13 @@ public Builder clearDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4731,11 +4948,13 @@ public boolean hasGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4775,11 +4994,13 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4816,11 +5037,13 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4855,11 +5078,13 @@ public Builder setGcsDestination(
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4907,11 +5132,13 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4951,11 +5178,13 @@ public Builder clearGcsDestination() {
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -4982,11 +5211,13 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -5022,11 +5253,13 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        * Inside of it files `predictions_0001.<extension>`,
        * `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
        * are created where `<extension>` depends on chosen
-       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-       * number of successfully predicted instances.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+       * and N may equal 0001 and depends on the total number of successfully
+       * predicted instances. If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then each such file contains predictions as per the
        * [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
        * If prediction for any instance failed (partially or completely), then
        * an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
@@ -5081,13 +5314,15 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5113,13 +5348,15 @@ public boolean hasBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5155,13 +5392,15 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5195,13 +5434,15 @@ public Builder setBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5232,13 +5473,15 @@ public Builder setBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5283,13 +5526,15 @@ public Builder mergeBigqueryDestination(
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5325,13 +5570,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5355,13 +5602,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5393,13 +5642,15 @@ public Builder clearBigqueryDestination() {
        * become underscores), and timestamp is in
        * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
        * two tables will be created, `predictions`, and `errors`.
-       * If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-       * and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-       * defined then the tables have columns as follows: The `predictions`
-       * table contains instances for which the prediction succeeded, it
-       * has columns as per a concatenation of the Model's instance and
-       * prediction schemata. The `errors` table contains rows for which the
-       * prediction has failed, it has instance columns, as per the
+       * If the Model has both
+       * [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+       * and
+       * [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+       * schemata defined then the tables have columns as follows: The
+       * `predictions` table contains instances for which the prediction
+       * succeeded, it has columns as per a concatenation of the Model's
+       * instance and prediction schemata. The `errors` table contains rows for
+       * which the prediction has failed, it has instance columns, as per the
        * instance schema, followed by a single "errors" column, which as values
        * has [google.rpc.Status][google.rpc.Status]
        * represented as a STRUCT, and containing only `code` and `message`.
@@ -5438,7 +5689,8 @@ public Builder clearBigqueryDestination() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the
        * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
        * 

@@ -5462,7 +5714,8 @@ public java.lang.String getPredictionsFormat() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the
        * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
        * 

@@ -5486,7 +5739,8 @@ public com.google.protobuf.ByteString getPredictionsFormatBytes() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the
        * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
        * 

@@ -5509,7 +5763,8 @@ public Builder setPredictionsFormat(java.lang.String value) {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the
        * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
        * 

@@ -5528,7 +5783,8 @@ public Builder clearPredictionsFormat() {
        *
        *
        * 
-       * Required. The format in which Vertex AI gives the predictions, must be one of the
+       * Required. The format in which Vertex AI gives the predictions, must be
+       * one of the
        * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
        * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
        * 

@@ -5625,8 +5881,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5638,8 +5894,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5651,8 +5907,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5743,7 +5999,8 @@ public interface OutputInfoOrBuilder
    *
    * 
    * Further describes this job's output.
-   * Supplements [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * Supplements
+   * [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo}
@@ -5840,8 +6097,8 @@ public OutputLocationCase getOutputLocationCase() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5855,8 +6112,8 @@ public boolean hasGcsOutputDirectory() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5883,8 +6140,8 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * 
-     * Output only. The full path of the Cloud Storage directory created, into which
-     * the prediction output is written.
+     * Output only. The full path of the Cloud Storage directory created, into
+     * which the prediction output is written.
      * 

      *
      * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6241,7 +6498,8 @@ protected Builder newBuilderForType(
      *
      * 
      * Further describes this job's output.
-     * Supplements [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * Supplements
+     * [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo}
@@ -6478,8 +6736,8 @@ public Builder clearOutputLocation() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6494,8 +6752,8 @@ public boolean hasGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6523,8 +6781,8 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6552,8 +6810,8 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6574,8 +6832,8 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -6594,8 +6852,8 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * 
-       * Output only. The full path of the Cloud Storage directory created, into which
-       * the prediction output is written.
+       * Output only. The full path of the Cloud Storage directory created, into
+       * which the prediction output is written.
        * 

        *
        * string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7119,7 +7377,8 @@ public com.google.protobuf.ByteString getModelBytes() {
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7142,7 +7401,8 @@ public java.lang.String getModelVersionId() {
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -7226,9 +7486,9 @@ public com.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel getUnmanagedC
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -7247,9 +7507,9 @@ public boolean hasInputConfig() {
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -7270,9 +7530,9 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig getInp
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -7349,7 +7609,8 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig get
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -7367,7 +7628,8 @@ public boolean hasModelParameters() {
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -7387,7 +7649,8 @@ public com.google.protobuf.Value getModelParameters() {
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -7482,7 +7745,8 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig getOu
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -7501,7 +7765,8 @@ public boolean hasDedicatedResources() {
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -7522,7 +7787,8 @@ public com.google.cloud.aiplatform.v1beta1.BatchDedicatedResources getDedicatedR
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -7602,9 +7868,10 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -7621,9 +7888,10 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -7643,9 +7911,10 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -7667,15 +7936,21 @@ public boolean hasManualBatchTuningParameters() {
    * Generate explanation with the batch prediction results.
    * When set to `true`, the batch prediction output changes based on the
    * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+   * object:
    *  * `bigquery`: output includes a column named `explanation`. The value
-   *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+   *    is a struct that conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
-   *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+   *    conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+   * If this field is set to true, either the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * must be populated.
    * 

    *
    * bool generate_explanation = 23;
@@ -7694,11 +7969,18 @@ public boolean getGenerateExplanation() {
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -7714,11 +7996,18 @@ public boolean hasExplanationSpec() {
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -7736,11 +8025,18 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -7995,8 +8291,8 @@ public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -8016,8 +8312,8 @@ public boolean hasResourcesConsumed() {
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -8039,8 +8335,8 @@ public com.google.cloud.aiplatform.v1beta1.ResourcesConsumed getResourcesConsume
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -8166,8 +8462,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8183,8 +8479,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8200,8 +8496,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8218,8 +8514,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8235,8 +8531,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -8252,8 +8548,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -9210,10 +9506,12 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
-   * on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * predictions for significant portion of the instances fail, the job may finish
-   * without attempting predictions for all remaining instances.
+   * A job that uses a
+   * [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce
+   * predictions on multiple [input
+   * instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If predictions for significant portion of the instances fail, the job may
+   * finish without attempting predictions for all remaining instances.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchPredictionJob}
@@ -10347,7 +10645,8 @@ public Builder setModelBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -10369,7 +10668,8 @@ public java.lang.String getModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -10391,7 +10691,8 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -10412,7 +10713,8 @@ public Builder setModelVersionId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -10429,7 +10731,8 @@ public Builder clearModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model that produces the predictions via this job.
+     * Output only. The version ID of the Model that produces the predictions via
+     * this job.
      * 

      *
      * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -10686,9 +10989,9 @@ public Builder clearUnmanagedContainerModel() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10706,9 +11009,9 @@ public boolean hasInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10733,9 +11036,9 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig getInp
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10762,9 +11065,9 @@ public Builder setInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10789,9 +11092,9 @@ public Builder setInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10823,9 +11126,9 @@ public Builder mergeInputConfig(
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10849,9 +11152,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10870,9 +11173,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -10896,9 +11199,9 @@ public Builder clearInputConfig() {
      *
      *
      * 
-     * Required. Input configuration of the instances on which predictions are performed.
-     * The schema of any single instance may be specified via
-     * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * Required. Input configuration of the instances on which predictions are
+     * performed. The schema of any single instance may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -11157,7 +11460,8 @@ public Builder clearInstanceConfig() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11174,7 +11478,8 @@ public boolean hasModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11197,7 +11502,8 @@ public com.google.protobuf.Value getModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11222,7 +11528,8 @@ public Builder setModelParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11244,7 +11551,8 @@ public Builder setModelParameters(com.google.protobuf.Value.Builder builderForVa
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11273,7 +11581,8 @@ public Builder mergeModelParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11296,7 +11605,8 @@ public Builder clearModelParameters() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11313,7 +11623,8 @@ public com.google.protobuf.Value.Builder getModelParametersBuilder() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11334,7 +11645,8 @@ public com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder() {
      *
      * 
      * The parameters that govern the predictions. The schema of the parameters
-     * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+     * may be specified via the
+     * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -11644,7 +11956,8 @@ public Builder clearOutputConfig() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11663,7 +11976,8 @@ public boolean hasDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11688,7 +12002,8 @@ public com.google.cloud.aiplatform.v1beta1.BatchDedicatedResources getDedicatedR
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11716,7 +12031,8 @@ public Builder setDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11741,7 +12057,8 @@ public Builder setDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11774,7 +12091,8 @@ public Builder mergeDedicatedResources(
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11799,7 +12117,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11819,7 +12138,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -11843,7 +12163,8 @@ public Builder clearDedicatedResources() {
      *
      * 
      * The config of resources used by the Model during the batch prediction. If
-     * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+     * the Model
+     * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
      * DEDICATED_RESOURCES this config may be provided (and the job will use these
      * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
      * must be provided.
@@ -12011,9 +12332,10 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12029,9 +12351,10 @@ public boolean hasManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12054,9 +12377,10 @@ public boolean hasManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12081,9 +12405,10 @@ public Builder setManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12105,9 +12430,10 @@ public Builder setManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12137,9 +12463,10 @@ public Builder mergeManualBatchTuningParameters(
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12161,9 +12488,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12180,9 +12508,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12203,9 +12532,10 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * 
-     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-     * the tuning itself).
+     * Immutable. Parameters configuring the batch behavior. Currently only
+     * applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+     * are used (in other cases Vertex AI does the tuning itself).
      * 

      *
      * 
@@ -12237,15 +12567,21 @@ public Builder clearManualBatchTuningParameters() {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -12263,15 +12599,21 @@ public boolean getGenerateExplanation() {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -12292,15 +12634,21 @@ public Builder setGenerateExplanation(boolean value) {
      * Generate explanation with the batch prediction results.
      * When set to `true`, the batch prediction output changes based on the
      * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+     * object:
      *  * `bigquery`: output includes a column named `explanation`. The value
-     *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    is a struct that conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
-     *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+     *    conforms to the
+     *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+     * If this field is set to true, either the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * must be populated.
      * 

      *
      * bool generate_explanation = 23;
@@ -12325,11 +12673,18 @@ public Builder clearGenerateExplanation() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12344,11 +12699,18 @@ public boolean hasExplanationSpec() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12369,11 +12731,18 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12396,11 +12765,18 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12421,11 +12797,18 @@ public Builder setExplanationSpec(
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12452,11 +12835,18 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12477,11 +12867,18 @@ public Builder clearExplanationSpec() {
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12496,11 +12893,18 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -12520,11 +12924,18 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      * 
      * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-     * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * specified only if
+     * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+     * is set to `true`.
+     * This value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * object is not populated, the corresponding field of the
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * object is inherited.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -13483,8 +13894,8 @@ public java.util.List getPartialFailuresBuilderLi
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13503,8 +13914,8 @@ public boolean hasResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13529,8 +13940,8 @@ public com.google.cloud.aiplatform.v1beta1.ResourcesConsumed getResourcesConsume
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13558,8 +13969,8 @@ public Builder setResourcesConsumed(
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13584,8 +13995,8 @@ public Builder setResourcesConsumed(
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13617,8 +14028,8 @@ public Builder mergeResourcesConsumed(
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13643,8 +14054,8 @@ public Builder clearResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13664,8 +14075,8 @@ public Builder clearResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -13689,8 +14100,8 @@ public Builder clearResourcesConsumed() {
      *
      *
      * 
-     * Output only. Information about resources that had been consumed by this job.
-     * Provided in real time at best effort basis, as well as a final value
+     * Output only. Information about resources that had been consumed by this
+     * job. Provided in real time at best effort basis, as well as a final value
      * once the job completes.
      * Note: This field currently may be not populated for batch predictions that
      * use AutoML Models.
@@ -14133,8 +14544,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14150,8 +14561,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14171,8 +14582,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14196,8 +14607,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14218,8 +14629,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14245,8 +14656,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14268,8 +14679,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14285,8 +14696,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14304,8 +14715,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the BatchPredictionJob for the first time entered
+     * the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -14339,8 +14750,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14355,8 +14766,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14375,8 +14786,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14399,8 +14810,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14420,8 +14831,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14446,8 +14857,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14468,8 +14879,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14484,8 +14895,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -14502,8 +14913,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the BatchPredictionJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the BatchPredictionJob entered any of the following
+     * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
index 263fcef4f4b2..1392f5c56c97 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
@@ -114,7 +114,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -126,7 +127,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model that produces the predictions via this job.
+   * Output only. The version ID of the Model that produces the predictions via
+   * this job.
    * 

    *
    * string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -184,9 +186,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -202,9 +204,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -220,9 +222,9 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Required. Input configuration of the instances on which predictions are performed.
-   * The schema of any single instance may be specified via
-   * the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * Required. Input configuration of the instances on which predictions are
+   * performed. The schema of any single instance may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -281,7 +283,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -296,7 +299,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -311,7 +315,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The parameters that govern the predictions. The schema of the parameters
-   * may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+   * may be specified via the
+   * [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -388,7 +393,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -404,7 +410,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -420,7 +427,8 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * The config of resources used by the Model during the batch prediction. If
-   * the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+   * the Model
+   * [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
    * DEDICATED_RESOURCES this config may be provided (and the job will use these
    * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
    * must be provided.
@@ -470,9 +478,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -486,9 +495,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -502,9 +512,10 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
-   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-   * the tuning itself).
+   * Immutable. Parameters configuring the batch behavior. Currently only
+   * applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+   * are used (in other cases Vertex AI does the tuning itself).
    * 

    *
    * 
@@ -521,15 +532,21 @@ public interface BatchPredictionJobOrBuilder
    * Generate explanation with the batch prediction results.
    * When set to `true`, the batch prediction output changes based on the
    * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+   * object:
    *  * `bigquery`: output includes a column named `explanation`. The value
-   *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+   *    is a struct that conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
-   *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+   *    conforms to the
+   *    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+   * If this field is set to true, either the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * must be populated.
    * 

    *
    * bool generate_explanation = 23;
@@ -543,11 +560,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -560,11 +584,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -577,11 +608,18 @@ public interface BatchPredictionJobOrBuilder
    *
    * 
    * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
-   * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * specified only if
+   * [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+   * is set to `true`.
+   * This value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * object is not populated, the corresponding field of the
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * object is inherited.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;
@@ -777,8 +815,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -795,8 +833,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -813,8 +851,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Information about resources that had been consumed by this job.
-   * Provided in real time at best effort basis, as well as a final value
+   * Output only. Information about resources that had been consumed by this
+   * job. Provided in real time at best effort basis, as well as a final value
    * once the job completes.
    * Note: This field currently may be not populated for batch predictions that
    * use AutoML Models.
@@ -909,8 +947,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -923,8 +961,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -937,8 +975,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the BatchPredictionJob for the first time entered
+   * the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -950,8 +988,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -964,8 +1002,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -978,8 +1016,8 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the BatchPredictionJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the BatchPredictionJob entered any of the following
+   * states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequest.java
index 9d8d10c91e0b..fe1308a22a76 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+ * Request message for
+ * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest}
@@ -78,8 +79,9 @@ public interface PassThroughFieldOrBuilder
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -91,8 +93,9 @@ public interface PassThroughFieldOrBuilder
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -159,8 +162,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -183,8 +187,9 @@ public java.lang.String getFieldName() {
      *
      *
      * 
-     * Required. The name of the field in the CSV header or the name of the column in
-     * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+     * Required. The name of the field in the CSV header or the name of the
+     * column in BigQuery table. The naming restriction is the same as
+     * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
      * 

      *
      * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -571,8 +576,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -594,8 +600,9 @@ public java.lang.String getFieldName() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -617,8 +624,9 @@ public com.google.protobuf.ByteString getFieldNameBytes() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -639,8 +647,9 @@ public Builder setFieldName(java.lang.String value) {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -657,8 +666,9 @@ public Builder clearFieldName() {
        *
        *
        * 
-       * Required. The name of the field in the CSV header or the name of the column in
-       * BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+       * Required. The name of the field in the CSV header or the name of the
+       * column in BigQuery table. The naming restriction is the same as
+       * [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
        * 

        *
        * string field_name = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -755,9 +765,10 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -769,9 +780,10 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -784,7 +796,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -798,7 +811,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -812,7 +826,8 @@ public interface EntityTypeSpecOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -939,9 +954,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -964,9 +980,10 @@ public java.lang.String getEntityTypeId() {
      *
      *
      * 
-     * Required. ID of the EntityType to select Features. The EntityType id is the
-     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-     * during EntityType creation.
+     * Required. ID of the EntityType to select Features. The EntityType id is
+     * the
+     * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+     * specified during EntityType creation.
      * 

      *
      * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -992,7 +1009,8 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -1009,7 +1027,8 @@ public boolean hasFeatureSelector() {
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -1028,7 +1047,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector getFeatureSelector()
      *
      *
      * 
-     * Required. Selectors choosing which Feature values to read from the EntityType.
+     * Required. Selectors choosing which Feature values to read from the
+     * EntityType.
      * 

      *
      * 
@@ -1590,9 +1610,10 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1614,9 +1635,10 @@ public java.lang.String getEntityTypeId() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1638,9 +1660,10 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1661,9 +1684,10 @@ public Builder setEntityTypeId(java.lang.String value) {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1680,9 +1704,10 @@ public Builder clearEntityTypeId() {
        *
        *
        * 
-       * Required. ID of the EntityType to select Features. The EntityType id is the
-       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-       * during EntityType creation.
+       * Required. ID of the EntityType to select Features. The EntityType id is
+       * the
+       * [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+       * specified during EntityType creation.
        * 

        *
        * string entity_type_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1711,7 +1736,8 @@ public Builder setEntityTypeIdBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1727,7 +1753,8 @@ public boolean hasFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1749,7 +1776,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector getFeatureSelector()
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1773,7 +1801,8 @@ public Builder setFeatureSelector(com.google.cloud.aiplatform.v1beta1.FeatureSel
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1795,7 +1824,8 @@ public Builder setFeatureSelector(
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1824,7 +1854,8 @@ public Builder mergeFeatureSelector(
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1846,7 +1877,8 @@ public Builder clearFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1863,7 +1895,8 @@ public Builder clearFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -1884,7 +1917,8 @@ public Builder clearFeatureSelector() {
        *
        *
        * 
-       * Required. Selectors choosing which Feature values to read from the EntityType.
+       * Required. Selectors choosing which Feature values to read from the
+       * EntityType.
        * 

        *
        * 
@@ -2567,8 +2601,8 @@ public com.google.cloud.aiplatform.v1beta1.BigQuerySource getBigqueryReadInstanc
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -2594,8 +2628,8 @@ public java.lang.String getFeaturestore() {
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -2794,8 +2828,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2815,8 +2849,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2838,8 +2872,8 @@ public int getPassThroughFieldsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2857,8 +2891,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2877,8 +2911,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -2900,8 +2934,8 @@ public int getEntityTypeSpecsCount() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -2918,8 +2952,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -2936,8 +2970,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -3204,7 +3238,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+   * Request message for
+   * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest}
@@ -4176,8 +4211,8 @@ public Builder clearBigqueryReadInstances() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4202,8 +4237,8 @@ public java.lang.String getFeaturestore() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4228,8 +4263,8 @@ public com.google.protobuf.ByteString getFeaturestoreBytes() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4253,8 +4288,8 @@ public Builder setFeaturestore(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -4274,8 +4309,8 @@ public Builder clearFeaturestore() {
      *
      *
      * 
-     * Required. The resource name of the Featurestore from which to query Feature values.
-     * Format:
+     * Required. The resource name of the Featurestore from which to query Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -5055,8 +5090,8 @@ private void ensureEntityTypeSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5079,8 +5114,8 @@ private void ensureEntityTypeSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5101,8 +5136,8 @@ public int getEntityTypeSpecsCount() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5124,8 +5159,8 @@ public int getEntityTypeSpecsCount() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5154,8 +5189,8 @@ public Builder setEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5182,8 +5217,8 @@ public Builder setEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5211,8 +5246,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5241,8 +5276,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5268,8 +5303,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5296,8 +5331,8 @@ public Builder addEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5326,8 +5361,8 @@ public Builder addAllEntityTypeSpecs(
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5351,8 +5386,8 @@ public Builder clearEntityTypeSpecs() {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5376,8 +5411,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5395,8 +5430,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5418,8 +5453,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5444,8 +5479,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5466,8 +5501,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5489,8 +5524,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Required. Specifies EntityType grouping Features to read values of and settings.
-     * Each EntityType referenced in
+     * Required. Specifies EntityType grouping Features to read values of and
+     * settings. Each EntityType referenced in
      * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
      * specifying entity IDs in the EntityType in
      * [BatchReadFeatureValuesRequest.request][] .
@@ -5541,8 +5576,8 @@ public Builder removeEntityTypeSpecs(int index) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5558,8 +5593,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5579,8 +5614,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5604,8 +5639,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5626,8 +5661,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5653,8 +5688,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5676,8 +5711,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5693,8 +5728,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
@@ -5712,8 +5747,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Excludes Feature values with feature generation timestamp before this
-     * timestamp. If not set, retrieve oldest values kept in Feature Store.
+     * Optional. Excludes Feature values with feature generation timestamp before
+     * this timestamp. If not set, retrieve oldest values kept in Feature Store.
      * Timestamp, if present, must not have higher than millisecond precision.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequestOrBuilder.java
index fc1bc5572cbf..09b71b401952 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesRequestOrBuilder.java
@@ -145,8 +145,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -161,8 +161,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Featurestore from which to query Feature values.
-   * Format:
+   * Required. The resource name of the Featurestore from which to query Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -312,8 +312,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -329,8 +329,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -346,8 +346,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -362,8 +362,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -382,8 +382,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifies EntityType grouping Features to read values of and settings.
-   * Each EntityType referenced in
+   * Required. Specifies EntityType grouping Features to read values of and
+   * settings. Each EntityType referenced in
    * [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
    * specifying entity IDs in the EntityType in
    * [BatchReadFeatureValuesRequest.request][] .
@@ -400,8 +400,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -415,8 +415,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
@@ -430,8 +430,8 @@ public interface BatchReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Optional. Excludes Feature values with feature generation timestamp before this
-   * timestamp. If not set, retrieve oldest values kept in Feature Store.
+   * Optional. Excludes Feature values with feature generation timestamp before
+   * this timestamp. If not set, retrieve oldest values kept in Feature Store.
    * Timestamp, if present, must not have higher than millisecond precision.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesResponse.java
index 156ed5d5ab99..afdc4ff000a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+ * Response message for
+ * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse}
@@ -222,7 +223,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+   * Response message for
+   * [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequest.java
index ad75c982aba5..ef75e3f1bb05 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequest.java
@@ -78,11 +78,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -107,11 +108,12 @@ public java.lang.String getTensorboard() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -139,7 +141,8 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -156,7 +159,8 @@ public com.google.protobuf.ProtocolStringList getTimeSeriesList() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -173,7 +177,8 @@ public int getTimeSeriesCount() {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -191,7 +196,8 @@ public java.lang.String getTimeSeries(int index) {
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -604,11 +610,12 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -632,11 +639,12 @@ public java.lang.String getTensorboard() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -660,11 +668,12 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -687,11 +696,12 @@ public Builder setTensorboard(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -710,11 +720,12 @@ public Builder clearTensorboard() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-     * read data from. Format:
+     * Required. The resource name of the Tensorboard containing
+     * TensorboardTimeSeries to read data from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-     * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-     * resources of this Tensorboard.
+     * The TensorboardTimeSeries referenced by
+     * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+     * must be sub resources of this Tensorboard.
      * 

      *
      * 
@@ -748,7 +759,8 @@ private void ensureTimeSeriesIsMutable() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -765,7 +777,8 @@ public com.google.protobuf.ProtocolStringList getTimeSeriesList() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -782,7 +795,8 @@ public int getTimeSeriesCount() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -800,7 +814,8 @@ public java.lang.String getTimeSeries(int index) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -818,7 +833,8 @@ public com.google.protobuf.ByteString getTimeSeriesBytes(int index) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -843,7 +859,8 @@ public Builder setTimeSeries(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -867,7 +884,8 @@ public Builder addTimeSeries(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -888,7 +906,8 @@ public Builder addAllTimeSeries(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -908,7 +927,8 @@ public Builder clearTimeSeries() {
      *
      *
      * 
-     * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+     * Required. The resource names of the TensorboardTimeSeries to read data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
index d8708071cdaf..762bad6919c4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchReadTensorboardTimeSeriesDataRequestOrBuilder.java
@@ -27,11 +27,12 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -45,11 +46,12 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-   * read data from. Format:
+   * Required. The resource name of the Tensorboard containing
+   * TensorboardTimeSeries to read data from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-   * The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-   * resources of this Tensorboard.
+   * The TensorboardTimeSeries referenced by
+   * [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+   * must be sub resources of this Tensorboard.
    * 

    *
    * 
@@ -64,7 +66,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -79,7 +82,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -94,7 +98,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -110,7 +115,8 @@ public interface BatchReadTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+   * Required. The resource names of the TensorboardTimeSeries to read data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelBatchPredictionJobRequest.java
index f4b52587f23b..383c62f2c727 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
+ * Request message for
+ * [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
+   * Request message for
+   * [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelCustomJobRequest.java
index 022705a6c197..2747f4c1c844 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
+ * Request message for
+ * [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelCustomJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
+   * Request message for
+   * [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelDataLabelingJobRequest.java
index b3c7b8551517..10afaff5899a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
+ * Request message for
+ * [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
+   * Request message for
+   * [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelHyperparameterTuningJobRequest.java
index be1f88aa58bf..af3092a3278e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
+ * Request message for
+ * [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest}
@@ -292,7 +293,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
+   * Request message for
+   * [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelPipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelPipelineJobRequest.java
index a715154e6422..6a7b70c7abfe 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelPipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelPipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
+ * Request message for
+ * [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelPipelineJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
+   * Request message for
+   * [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelPipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelTrainingPipelineRequest.java
index 162e25d5f42d..9a06d54e4f42 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CancelTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
+ * Request message for
+ * [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
+   * Request message for
+   * [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateRequest.java
index 21a77b2a94b4..d3873d1231a1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+ * Request message for
+ * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateRequest}
@@ -291,7 +292,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+   * Request message for
+   * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateResponse.java
index 890b81bbdb87..26828c89667b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CheckTrialEarlyStoppingStateResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+ * Response message for
+ * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse}
@@ -251,7 +252,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+   * Response message for
+   * [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompleteTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompleteTrialRequest.java
index 6f236586ec07..6dd2e133de1e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompleteTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompleteTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
+ * Request message for
+ * [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CompleteTrialRequest}
@@ -451,7 +452,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
+   * Request message for
+   * [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CompleteTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStats.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStats.java
index c52e5240852e..5344ee5fb41f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStats.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStats.java
@@ -108,11 +108,11 @@ public long getFailedCount() {
    *
    *
    * 
-   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-   * may be failed as a whole. Below is the number of entities for which the
-   * processing had not been finished (either in successful or failed state).
-   * Set to -1 if the number is unknown (for example, the operation failed
-   * before the total entity number could be collected).
+   * Output only. In cases when enough errors are encountered a job, pipeline,
+   * or operation may be failed as a whole. Below is the number of entities for
+   * which the processing had not been finished (either in successful or failed
+   * state). Set to -1 if the number is unknown (for example, the operation
+   * failed before the total entity number could be collected).
    * 

    *
    * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -130,8 +130,9 @@ public long getIncompleteCount() {
    *
    *
    * 
-   * Output only. The number of the successful forecast points that are generated by the
-   * forecasting model. This is ONLY used by the forecasting batch prediction.
+   * Output only. The number of the successful forecast points that are
+   * generated by the forecasting model. This is ONLY used by the forecasting
+   * batch prediction.
    * 

    *
    * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -647,11 +648,11 @@ public Builder clearFailedCount() {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -666,11 +667,11 @@ public long getIncompleteCount() {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -688,11 +689,11 @@ public Builder setIncompleteCount(long value) {
      *
      *
      * 
-     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-     * may be failed as a whole. Below is the number of entities for which the
-     * processing had not been finished (either in successful or failed state).
-     * Set to -1 if the number is unknown (for example, the operation failed
-     * before the total entity number could be collected).
+     * Output only. In cases when enough errors are encountered a job, pipeline,
+     * or operation may be failed as a whole. Below is the number of entities for
+     * which the processing had not been finished (either in successful or failed
+     * state). Set to -1 if the number is unknown (for example, the operation
+     * failed before the total entity number could be collected).
      * 

      *
      * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -711,8 +712,9 @@ public Builder clearIncompleteCount() {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -728,8 +730,9 @@ public long getSuccessfulForecastPointCount() {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -748,8 +751,9 @@ public Builder setSuccessfulForecastPointCount(long value) {
      *
      *
      * 
-     * Output only. The number of the successful forecast points that are generated by the
-     * forecasting model. This is ONLY used by the forecasting batch prediction.
+     * Output only. The number of the successful forecast points that are
+     * generated by the forecasting model. This is ONLY used by the forecasting
+     * batch prediction.
      * 

      *
      * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStatsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStatsOrBuilder.java
index b53ce20c521e..8c076de309ea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStatsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CompletionStatsOrBuilder.java
@@ -53,11 +53,11 @@ public interface CompletionStatsOrBuilder
    *
    *
    * 
-   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
-   * may be failed as a whole. Below is the number of entities for which the
-   * processing had not been finished (either in successful or failed state).
-   * Set to -1 if the number is unknown (for example, the operation failed
-   * before the total entity number could be collected).
+   * Output only. In cases when enough errors are encountered a job, pipeline,
+   * or operation may be failed as a whole. Below is the number of entities for
+   * which the processing had not been finished (either in successful or failed
+   * state). Set to -1 if the number is unknown (for example, the operation
+   * failed before the total entity number could be collected).
    * 

    *
    * int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -70,8 +70,9 @@ public interface CompletionStatsOrBuilder
    *
    *
    * 
-   * Output only. The number of the successful forecast points that are generated by the
-   * forecasting model. This is ONLY used by the forecasting batch prediction.
+   * Output only. The number of the successful forecast points that are
+   * generated by the forecasting model. This is ONLY used by the forecasting
+   * batch prediction.
    * 

    *
    * int64 successful_forecast_point_count = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpec.java
index 592f1ae9b3b1..6bc27ee484ed 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpec.java
@@ -76,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -100,8 +100,8 @@ public java.lang.String getImageUri() {
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -806,8 +806,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -829,8 +829,8 @@ public java.lang.String getImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -852,8 +852,8 @@ public com.google.protobuf.ByteString getImageUriBytes() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -874,8 +874,8 @@ public Builder setImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -892,8 +892,8 @@ public Builder clearImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in the Container Registry that is to be run on
-     * each worker replica.
+     * Required. The URI of a container image in the Container Registry that is to
+     * be run on each worker replica.
      * 

      *
      * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpecOrBuilder.java
index 258af1e8d906..8e452b0c221e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContainerSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface ContainerSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -40,8 +40,8 @@ public interface ContainerSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in the Container Registry that is to be run on
-   * each worker replica.
+   * Required. The URI of a container image in the Container Registry that is to
+   * be run on each worker replica.
    * 

    *
    * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Context.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Context.java
index 30f3beb5b506..4a95c25bde68 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Context.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Context.java
@@ -457,8 +457,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -474,8 +474,8 @@ public com.google.protobuf.ProtocolStringList getParentContextsList() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -491,8 +491,8 @@ public int getParentContextsCount() {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -509,8 +509,8 @@ public java.lang.String getParentContexts(int index) {
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -2307,8 +2307,8 @@ private void ensureParentContextsIsMutable() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2324,8 +2324,8 @@ public com.google.protobuf.ProtocolStringList getParentContextsList() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2341,8 +2341,8 @@ public int getParentContextsCount() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2359,8 +2359,8 @@ public java.lang.String getParentContexts(int index) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2377,8 +2377,8 @@ public com.google.protobuf.ByteString getParentContextsBytes(int index) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2402,8 +2402,8 @@ public Builder setParentContexts(int index, java.lang.String value) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2426,8 +2426,8 @@ public Builder addParentContexts(java.lang.String value) {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2447,8 +2447,8 @@ public Builder addAllParentContexts(java.lang.Iterable values)
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
@@ -2467,8 +2467,8 @@ public Builder clearParentContexts() {
      *
      *
      * 
-     * Output only. A list of resource names of Contexts that are parents of this Context.
-     * A Context may have at most 10 parent_contexts.
+     * Output only. A list of resource names of Contexts that are parents of this
+     * Context. A Context may have at most 10 parent_contexts.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContextOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContextOrBuilder.java
index f608262632cb..bb7b8b2ff71d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContextOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ContextOrBuilder.java
@@ -266,8 +266,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -281,8 +281,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -296,8 +296,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
@@ -312,8 +312,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. A list of resource names of Contexts that are parents of this Context.
-   * A Context may have at most 10 parent_contexts.
+   * Output only. A list of resource names of Contexts that are parents of this
+   * Context. A Context may have at most 10 parent_contexts.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateArtifactRequest.java
index 1cdb33961438..0e60e31dbbfd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
+ * Request message for
+ * [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateArtifactRequest}
@@ -429,7 +430,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
+   * Request message for
+   * [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequest.java
index 1cc1d7209260..92911b5e77cf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
+ * Request message for
+ * [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -100,8 +101,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -357,7 +358,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
+   * Request message for
+   * [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest}
@@ -556,8 +558,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -581,8 +583,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -606,8 +608,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -630,8 +632,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -650,8 +652,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the BatchPredictionJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequestOrBuilder.java
index 62bdc0559f36..df83faf05894 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateBatchPredictionJobRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateBatchPredictionJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface CreateBatchPredictionJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the BatchPredictionJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequest.java
index 247fe88b3103..0ec87845934b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
+ * Request message for
+ * [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateContextRequest}
@@ -74,9 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -102,9 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -429,7 +428,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
+   * Request message for
+   * [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateContextRequest}
@@ -634,9 +634,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -661,9 +660,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -688,9 +686,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -714,9 +711,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -736,9 +732,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the Context should be
-     * created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the Context should
+     * be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequestOrBuilder.java
index 5eed23545f31..5835a666486b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateContextRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface CreateContextRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface CreateContextRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the Context should be
-   * created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the Context should
+   * be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateCustomJobRequest.java
index 8f3c5501775c..0ce4b004398f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
+ * Request message for
+ * [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateCustomJobRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
+   * Request message for
+   * [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDataLabelingJobRequest.java
index 747cdc933406..e831d2a63227 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
+ * Request message for
+ * [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest}
@@ -355,7 +356,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
+   * Request message for
+   * [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetOperationMetadata.java
index 72a9398fd1c4..70ce31bb4800 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+ * Runtime operation information for
+ * [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+   * Runtime operation information for
+   * [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetRequest.java
index 53e95b676814..8b7bd8e6bb76 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+ * Request message for
+ * [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDatasetRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+   * Request message for
+   * [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequest.java
index 80e42aab805a..a40834926710 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequest.java
@@ -76,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The parent location resource where this DeploymentResourcePool will be
-   * created. Format: `projects/{project}/locations/{location}`
+   * Required. The parent location resource where this DeploymentResourcePool
+   * will be created. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -102,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The parent location resource where this DeploymentResourcePool will be
-   * created. Format: `projects/{project}/locations/{location}`
+   * Required. The parent location resource where this DeploymentResourcePool
+   * will be created. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -642,8 +642,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The parent location resource where this DeploymentResourcePool will be
-     * created. Format: `projects/{project}/locations/{location}`
+     * Required. The parent location resource where this DeploymentResourcePool
+     * will be created. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -667,8 +667,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The parent location resource where this DeploymentResourcePool will be
-     * created. Format: `projects/{project}/locations/{location}`
+     * Required. The parent location resource where this DeploymentResourcePool
+     * will be created. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -692,8 +692,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The parent location resource where this DeploymentResourcePool will be
-     * created. Format: `projects/{project}/locations/{location}`
+     * Required. The parent location resource where this DeploymentResourcePool
+     * will be created. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -716,8 +716,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The parent location resource where this DeploymentResourcePool will be
-     * created. Format: `projects/{project}/locations/{location}`
+     * Required. The parent location resource where this DeploymentResourcePool
+     * will be created. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -736,8 +736,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The parent location resource where this DeploymentResourcePool will be
-     * created. Format: `projects/{project}/locations/{location}`
+     * Required. The parent location resource where this DeploymentResourcePool
+     * will be created. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequestOrBuilder.java
index 29eba227c08b..5d1e8033e254 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateDeploymentResourcePoolRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateDeploymentResourcePoolRequestOrBuilder
    *
    *
    * 
-   * Required. The parent location resource where this DeploymentResourcePool will be
-   * created. Format: `projects/{project}/locations/{location}`
+   * Required. The parent location resource where this DeploymentResourcePool
+   * will be created. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface CreateDeploymentResourcePoolRequestOrBuilder
    *
    *
    * 
-   * Required. The parent location resource where this DeploymentResourcePool will be
-   * created. Format: `projects/{project}/locations/{location}`
+   * Required. The parent location resource where this DeploymentResourcePool
+   * will be created. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointOperationMetadata.java
index b08f4fe8a394..2712c5c97c1a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+ * Runtime operation information for
+ * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+   * Runtime operation information for
+   * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointRequest.java
index f48a1c78b9c1..918e59ed296e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+ * Request message for
+ * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEndpointRequest}
@@ -425,7 +426,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+   * Request message for
+   * [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequest.java
index 7433056d8f30..b457385d2554 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
+ * Request message for
+ * [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest}
@@ -179,8 +180,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypeOrBu
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -206,8 +207,8 @@ public java.lang.String getEntityTypeId() {
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -417,7 +418,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
+   * Request message for
+   * [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest}
@@ -934,8 +936,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypeOrBu
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -960,8 +962,8 @@ public java.lang.String getEntityTypeId() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -986,8 +988,8 @@ public com.google.protobuf.ByteString getEntityTypeIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -1011,8 +1013,8 @@ public Builder setEntityTypeId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
@@ -1032,8 +1034,8 @@ public Builder clearEntityTypeId() {
      *
      *
      * 
-     * Required. The ID to use for the EntityType, which will become the final component of
-     * the EntityType's resource name.
+     * Required. The ID to use for the EntityType, which will become the final
+     * component of the EntityType's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within a featurestore.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequestOrBuilder.java
index b42bf8f6de09..b07af7e4059e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateEntityTypeRequestOrBuilder.java
@@ -95,8 +95,8 @@ public interface CreateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
@@ -111,8 +111,8 @@ public interface CreateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the EntityType, which will become the final component of
-   * the EntityType's resource name.
+   * Required. The ID to use for the EntityType, which will become the final
+   * component of the EntityType's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within a featurestore.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateExecutionRequest.java
index 2514c34d3550..7559fea4deec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
+ * Request message for
+ * [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateExecutionRequest}
@@ -431,7 +432,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
+   * Request message for
+   * [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequest.java
index 4fa47b7ed968..a9ae2620ae09 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
+ * Request message for
+ * [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateFeatureRequest}
@@ -185,8 +186,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureOrBuilder getFeatureOrBuilder(
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -212,8 +213,8 @@ public java.lang.String getFeatureId() {
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -423,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
+   * Request message for
+   * [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateFeatureRequest}
@@ -957,8 +959,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureOrBuilder getFeatureOrBuilder(
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -983,8 +985,8 @@ public java.lang.String getFeatureId() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1009,8 +1011,8 @@ public com.google.protobuf.ByteString getFeatureIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1034,8 +1036,8 @@ public Builder setFeatureId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
@@ -1055,8 +1057,8 @@ public Builder clearFeatureId() {
      *
      *
      * 
-     * Required. The ID to use for the Feature, which will become the final component of
-     * the Feature's resource name.
+     * Required. The ID to use for the Feature, which will become the final
+     * component of the Feature's resource name.
      * This value may be up to 128 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within an EntityType.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequestOrBuilder.java
index 6419ef05b1fe..c759e5721715 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeatureRequestOrBuilder.java
@@ -101,8 +101,8 @@ public interface CreateFeatureRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
@@ -117,8 +117,8 @@ public interface CreateFeatureRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Feature, which will become the final component of
-   * the Feature's resource name.
+   * Required. The ID to use for the Feature, which will become the final
+   * component of the Feature's resource name.
    * This value may be up to 128 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within an EntityType.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequest.java
index 4d2e1fe4e8d7..073e0460afaa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
+ * Request message for
+ * [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest}
@@ -185,8 +186,8 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -212,8 +213,8 @@ public java.lang.String getFeaturestoreId() {
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -423,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
+   * Request message for
+   * [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest}
@@ -960,8 +962,8 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -986,8 +988,8 @@ public java.lang.String getFeaturestoreId() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1012,8 +1014,8 @@ public com.google.protobuf.ByteString getFeaturestoreIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1037,8 +1039,8 @@ public Builder setFeaturestoreId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
@@ -1058,8 +1060,8 @@ public Builder clearFeaturestoreId() {
      *
      *
      * 
-     * Required. The ID to use for this Featurestore, which will become the final component
-     * of the Featurestore's resource name.
+     * Required. The ID to use for this Featurestore, which will become the final
+     * component of the Featurestore's resource name.
      * This value may be up to 60 characters, and valid characters are
      * `[a-z0-9_]`. The first character cannot be a number.
      * The value must be unique within the project and location.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequestOrBuilder.java
index 3d6e155e0231..59aac73db494 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateFeaturestoreRequestOrBuilder.java
@@ -101,8 +101,8 @@ public interface CreateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
@@ -117,8 +117,8 @@ public interface CreateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for this Featurestore, which will become the final component
-   * of the Featurestore's resource name.
+   * Required. The ID to use for this Featurestore, which will become the final
+   * component of the Featurestore's resource name.
    * This value may be up to 60 characters, and valid characters are
    * `[a-z0-9_]`. The first character cannot be a number.
    * The value must be unique within the project and location.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequest.java
index 32aaf7b6be19..72655820279e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
+ * Request message for
+ * [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest}
@@ -75,8 +76,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +103,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -360,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
+   * Request message for
+   * [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest}
@@ -562,8 +566,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -587,8 +592,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -612,8 +618,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -636,8 +643,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -656,8 +664,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the
+     * HyperparameterTuningJob in. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequestOrBuilder.java
index 9134d6d9167b..ba1e46fa815c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateHyperparameterTuningJobRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface CreateHyperparameterTuningJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +43,9 @@ public interface CreateHyperparameterTuningJobRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the
+   * HyperparameterTuningJob in. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequest.java
index fd081e118e55..2981aaeda5ae 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadata.java
index 00b65943f905..70a29660066b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+ * Runtime operation information for
+ * [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata}
@@ -359,7 +360,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+   * Runtime operation information for
+   * [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequest.java
index 643f9a5857ba..ba350e6fc3ff 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+ * Request message for
+ * [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexRequest}
@@ -352,7 +353,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+   * Request message for
+   * [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequest.java
index 59a410b251c7..f471335b5ed4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
+ * Request message for
+ * [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataSchemaRequest}
@@ -74,9 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -102,9 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -431,7 +430,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
+   * Request message for
+   * [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataSchemaRequest}
@@ -639,9 +639,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -666,9 +665,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -693,9 +691,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -719,9 +716,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
@@ -741,9 +737,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the MetadataStore where the MetadataSchema should
-     * be created.
-     * Format:
+     * Required. The resource name of the MetadataStore where the MetadataSchema
+     * should be created. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequestOrBuilder.java
index e1813ed0afa0..8b028ed6df7e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface CreateMetadataSchemaRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface CreateMetadataSchemaRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the MetadataStore where the MetadataSchema should
-   * be created.
-   * Format:
+   * Required. The resource name of the MetadataStore where the MetadataSchema
+   * should be created. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadata.java
index 194b3c3c74e0..a384514d3e19 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+ * Details of operations that perform
+ * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataStoreOperationMetadata}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+   * Details of operations that perform
+   * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataStoreOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequest.java
index 90cb1aa32285..86679ef77952 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+ * Request message for
+ * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataStoreRequest}
@@ -429,7 +430,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+   * Request message for
+   * [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateMetadataStoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequest.java
index b2fbc4e2c925..a33ac4e8f2dd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
+ * Request message for
+ * [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreatePipelineJobRequest}
@@ -421,7 +422,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
+   * Request message for
+   * [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreatePipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequest.java
index 8480ddec10be..cae5c24d2dd4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateSpecialistPoolRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequest.java
index e7b4b244356e..e83679f24bc5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
+ * Request message for
+ * [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateStudyRequest}
@@ -352,7 +353,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
+   * Request message for
+   * [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequest.java
index d8d7122b7a64..0f3115edbab4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -102,8 +103,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -181,8 +182,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardExperiment getTensorboardE
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -207,8 +208,8 @@ public java.lang.String getTensorboardExperimentId() {
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -419,7 +420,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest}
@@ -632,8 +634,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -658,8 +660,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -684,8 +686,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -709,8 +711,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -730,8 +732,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-     * in. Format:
+     * Required. The resource name of the Tensorboard to create the
+     * TensorboardExperiment in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -958,8 +960,8 @@ public Builder clearTensorboardExperiment() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -983,8 +985,8 @@ public java.lang.String getTensorboardExperimentId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -1008,8 +1010,8 @@ public com.google.protobuf.ByteString getTensorboardExperimentIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -1032,8 +1034,8 @@ public Builder setTensorboardExperimentId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

@@ -1052,8 +1054,8 @@ public Builder clearTensorboardExperimentId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard experiment, which will become the final
-     * component of the Tensorboard experiment's resource name.
+     * Required. The ID to use for the Tensorboard experiment, which becomes the
+     * final component of the Tensorboard experiment's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequestOrBuilder.java
index 977e1c6f83e9..a60c46a9bb3a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -43,8 +43,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to create the TensorboardExperiment
-   * in. Format:
+   * Required. The resource name of the Tensorboard to create the
+   * TensorboardExperiment in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -96,8 +96,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

@@ -111,8 +111,8 @@ public interface CreateTensorboardExperimentRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard experiment, which will become the final
-   * component of the Tensorboard experiment's resource name.
+   * Required. The ID to use for the Tensorboard experiment, which becomes the
+   * final component of the Tensorboard experiment's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequest.java
index cbec8261e424..cb1cd1dc2b67 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
+ * Request message for
+ * [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardRequest}
@@ -354,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
+   * Request message for
+   * [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequest.java
index 8618023b08e9..a2acebfc8a49 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
+ * Request message for
+ * [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -185,7 +186,7 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRunOrBuilder getTensorboar
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -211,7 +212,7 @@ public java.lang.String getTensorboardRunId() {
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -421,7 +422,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
+   * Request message for
+   * [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest}
@@ -629,8 +631,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -655,8 +657,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -681,8 +683,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -706,8 +708,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -727,8 +729,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-     * in. Format:
+     * Required. The resource name of the TensorboardExperiment to create the
+     * TensorboardRun in. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -960,7 +962,7 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun.Builder getTensorboard
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -985,7 +987,7 @@ public java.lang.String getTensorboardRunId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1010,7 +1012,7 @@ public com.google.protobuf.ByteString getTensorboardRunIdBytes() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1034,7 +1036,7 @@ public Builder setTensorboardRunId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
@@ -1054,7 +1056,7 @@ public Builder clearTensorboardRunId() {
      *
      *
      * 
-     * Required. The ID to use for the Tensorboard run, which will become the final
+     * Required. The ID to use for the Tensorboard run, which becomes the final
      * component of the Tensorboard run's resource name.
      * This value should be 1-128 characters, and valid characters
      * are /[a-z][0-9]-/.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequestOrBuilder.java
index e59d4f054be0..6726a9420471 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -43,8 +43,8 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-   * in. Format:
+   * Required. The resource name of the TensorboardExperiment to create the
+   * TensorboardRun in. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -101,7 +101,7 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
@@ -116,7 +116,7 @@ public interface CreateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The ID to use for the Tensorboard run, which will become the final
+   * Required. The ID to use for the Tensorboard run, which becomes the final
    * component of the Tensorboard run's resource name.
    * This value should be 1-128 characters, and valid characters
    * are /[a-z][0-9]-/.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequest.java
index 05fe605d23d8..eaf93daa3571 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest}
@@ -134,10 +135,10 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -160,10 +161,10 @@ public java.lang.String getTensorboardTimeSeriesId() {
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -427,7 +428,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest}
@@ -771,10 +773,10 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -796,10 +798,10 @@ public java.lang.String getTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -821,10 +823,10 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -845,10 +847,10 @@ public Builder setTensorboardTimeSeriesId(java.lang.String value) {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -865,10 +867,10 @@ public Builder clearTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-     * will become the final component of the TensorboardTimeSeries's resource
-     * name.
-     * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+     * Optional. The user specified unique ID to use for the
+     * TensorboardTimeSeries, which becomes the final component of the
+     * TensorboardTimeSeries's resource name. This value should match
+     * "[a-z0-9][a-z0-9-]{0, 127}"
      * 

      *
      * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequestOrBuilder.java
index 0fe0615316db..c42741e20222 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequestOrBuilder.java
@@ -62,10 +62,10 @@ public interface CreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
@@ -77,10 +77,10 @@ public interface CreateTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-   * will become the final component of the TensorboardTimeSeries's resource
-   * name.
-   * This value should match "[a-z0-9][a-z0-9-]{0, 127}"
+   * Optional. The user specified unique ID to use for the
+   * TensorboardTimeSeries, which becomes the final component of the
+   * TensorboardTimeSeries's resource name. This value should match
+   * "[a-z0-9][a-z0-9-]{0, 127}"
    * 

    *
    * string tensorboard_time_series_id = 3 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequest.java
index 8e816300973b..2f708ca107c5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
+ * Request message for
+ * [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -99,8 +100,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
+   * Request message for
+   * [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest}
@@ -553,8 +555,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -578,8 +580,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -603,8 +605,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -627,8 +629,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -647,8 +649,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to create the TrainingPipeline in.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to create the TrainingPipeline
+     * in. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequestOrBuilder.java
index 809ef09b5b60..03a65bf62a58 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface CreateTrainingPipelineRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface CreateTrainingPipelineRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to create the TrainingPipeline in.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to create the TrainingPipeline
+   * in. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequest.java
index a6dbc6a1cc68..08f6d3da1ae4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
+ * Request message for
+ * [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTrialRequest}
@@ -352,7 +353,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
+   * Request message for
+   * [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.CreateTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
index a0071c54852c..8a0b12adc97f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
@@ -734,7 +734,8 @@ public int getWebAccessUrisCount() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -766,7 +767,8 @@ public java.util.Map getWebAccessUris() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -789,7 +791,8 @@ public java.util.Map getWebAccessUrisMap() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -817,7 +820,8 @@ public java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3476,7 +3480,8 @@ public int getWebAccessUrisCount() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3508,7 +3513,8 @@ public java.util.Map getWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3531,7 +3537,8 @@ public java.util.Map getWebAccessUrisMap() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3559,7 +3566,8 @@ public java.lang.String getWebAccessUrisOrDefault(
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3594,7 +3602,8 @@ public Builder clearWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3625,7 +3634,8 @@ public java.util.Map getMutableWebAccessUris
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -3655,7 +3665,8 @@ public Builder putWebAccessUris(java.lang.String key, java.lang.String value) {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if
-     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+     * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * is `true`.
      * The keys are names of each node in the training job; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
index 7d5d1b149207..f9f29dca6ca0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
@@ -470,7 +470,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -490,7 +491,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -513,7 +515,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -533,7 +536,8 @@ java.lang.String getLabelsOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -558,7 +562,8 @@ java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if
-   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+   * [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * is `true`.
    * The keys are names of each node in the training job; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
index 51c59dd00f21..3b28297fa186 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
@@ -77,9 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -95,9 +95,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -113,9 +113,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -130,9 +130,9 @@ public int getWorkerPoolSpecsCount() {
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -147,9 +147,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec getWorkerPoolSpecs(int
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -431,8 +431,8 @@ public com.google.protobuf.ByteString getReservedIpRangesBytes(int index) {
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -461,8 +461,8 @@ public boolean hasBaseOutputDirectory() {
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -493,8 +493,8 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -521,9 +521,9 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+   * which this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -549,9 +549,9 @@ public java.lang.String getTensorboard() {
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+   * which this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -584,7 +584,11 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
    * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * to training containers.
    * If set to `true`, you can access interactive shells at the URIs given
-   * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+   * by
+   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+   * or
+   * [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+   * (within
    * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
    * 

    *
@@ -1194,9 +1198,9 @@ private void ensureWorkerPoolSpecsIsMutable() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1215,9 +1219,9 @@ private void ensureWorkerPoolSpecsIsMutable() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1235,9 +1239,9 @@ public int getWorkerPoolSpecsCount() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1255,9 +1259,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec getWorkerPoolSpecs(int
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1282,9 +1286,9 @@ public Builder setWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1306,9 +1310,9 @@ public Builder setWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1332,9 +1336,9 @@ public Builder addWorkerPoolSpecs(com.google.cloud.aiplatform.v1beta1.WorkerPool
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1359,9 +1363,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1383,9 +1387,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1407,9 +1411,9 @@ public Builder addWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1431,9 +1435,9 @@ public Builder addAllWorkerPoolSpecs(
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1454,9 +1458,9 @@ public Builder clearWorkerPoolSpecs() {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1477,9 +1481,9 @@ public Builder removeWorkerPoolSpecs(int index) {
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1494,9 +1498,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.Builder getWorkerPoolS
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1515,9 +1519,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPool
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1536,9 +1540,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPool
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1553,9 +1557,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.Builder addWorkerPoolS
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -1572,9 +1576,9 @@ public com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.Builder addWorkerPoolS
      *
      *
      * 
-     * Required. The spec of the worker pools including machine type and Docker image.
-     * All worker pools except the first one are optional and can be skipped by
-     * providing an empty value.
+     * Required. The spec of the worker pools including machine type and Docker
+     * image. All worker pools except the first one are optional and can be
+     * skipped by providing an empty value.
      * 

      *
      * 
@@ -2320,8 +2324,8 @@ public Builder addReservedIpRangesBytes(com.google.protobuf.ByteString value) {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2349,8 +2353,8 @@ public boolean hasBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2384,8 +2388,8 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2422,8 +2426,8 @@ public Builder setBaseOutputDirectory(
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2457,8 +2461,8 @@ public Builder setBaseOutputDirectory(
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2499,8 +2503,8 @@ public Builder mergeBaseOutputDirectory(
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2534,8 +2538,8 @@ public Builder clearBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2564,8 +2568,8 @@ public Builder clearBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2598,8 +2602,8 @@ public Builder clearBaseOutputDirectory() {
      * HyperparameterTuningJob. For HyperparameterTuningJob,
      * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+     * HyperparameterTuningJob's baseOutputDirectory.
      * The following Vertex AI environment variables will be passed to
      * containers or python modules when this field is set:
      *   For CustomJob:
@@ -2636,9 +2640,9 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+     * which this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2663,9 +2667,9 @@ public java.lang.String getTensorboard() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+     * which this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2690,9 +2694,9 @@ public com.google.protobuf.ByteString getTensorboardBytes() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+     * which this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2716,9 +2720,9 @@ public Builder setTensorboard(java.lang.String value) {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+     * which this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2738,9 +2742,9 @@ public Builder clearTensorboard() {
      *
      *
      * 
-     * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-     * will upload Tensorboard logs.
-     * Format:
+     * Optional. The name of a Vertex AI
+     * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+     * which this CustomJob will upload Tensorboard logs. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -2771,7 +2775,11 @@ public Builder setTensorboardBytes(com.google.protobuf.ByteString value) {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
      * 

      *
@@ -2791,7 +2799,11 @@ public boolean getEnableWebAccess() {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
      * 

      *
@@ -2814,7 +2826,11 @@ public Builder setEnableWebAccess(boolean value) {
      * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * to training containers.
      * If set to `true`, you can access interactive shells at the URIs given
-     * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+     * by
+     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+     * or
+     * [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+     * (within
      * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
index 88d7d9f40b68..8532a3047a3e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
@@ -27,9 +27,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -41,9 +41,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -55,9 +55,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -69,9 +69,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -84,9 +84,9 @@ public interface CustomJobSpecOrBuilder
    *
    *
    * 
-   * Required. The spec of the worker pools including machine type and Docker image.
-   * All worker pools except the first one are optional and can be skipped by
-   * providing an empty value.
+   * Required. The spec of the worker pools including machine type and Docker
+   * image. All worker pools except the first one are optional and can be
+   * skipped by providing an empty value.
    * 

    *
    * 
@@ -292,8 +292,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -319,8 +319,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -346,8 +346,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * HyperparameterTuningJob. For HyperparameterTuningJob,
    * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+   * HyperparameterTuningJob's baseOutputDirectory.
    * The following Vertex AI environment variables will be passed to
    * containers or python modules when this field is set:
    *   For CustomJob:
@@ -368,9 +368,9 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+   * which this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -385,9 +385,9 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * 
-   * Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-   * will upload Tensorboard logs.
-   * Format:
+   * Optional. The name of a Vertex AI
+   * [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+   * which this CustomJob will upload Tensorboard logs. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -407,7 +407,11 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * to training containers.
    * If set to `true`, you can access interactive shells at the URIs given
-   * by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+   * by
+   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+   * or
+   * [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+   * (within
    * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItem.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItem.java
index 465379f025ea..ce0075a459a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItem.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItem.java
@@ -363,9 +363,11 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -380,9 +382,11 @@ public boolean hasPayload() {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -397,9 +401,11 @@ public com.google.protobuf.Value getPayload() {
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -415,8 +421,8 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -439,8 +445,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1701,9 +1707,11 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1717,9 +1725,11 @@ public boolean hasPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1737,9 +1747,11 @@ public com.google.protobuf.Value getPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1761,9 +1773,11 @@ public Builder setPayload(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1782,9 +1796,11 @@ public Builder setPayload(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1807,9 +1823,11 @@ public Builder mergePayload(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1829,9 +1847,11 @@ public Builder clearPayload() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1845,9 +1865,11 @@ public com.google.protobuf.Value.Builder getPayloadBuilder() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1863,9 +1885,11 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
      *
      *
      * 
-     * Required. The data that the DataItem represents (for example, an image or a text
-     * snippet). The schema of the payload is stored in the parent Dataset's
-     * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * Required. The data that the DataItem represents (for example, an image or a
+     * text snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata
+     * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     * dataItemSchemaUri field.
      * 

      *
      * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -1892,8 +1916,8 @@ public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1915,8 +1939,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1938,8 +1962,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1960,8 +1984,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -1978,8 +2002,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemOrBuilder.java
index ba0f4c291889..1d79c7a1d1cf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemOrBuilder.java
@@ -227,9 +227,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -241,9 +243,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -255,9 +259,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Required. The data that the DataItem represents (for example, an image or a text
-   * snippet). The schema of the payload is stored in the parent Dataset's
-   * [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * Required. The data that the DataItem represents (for example, an image or a
+   * text snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata
+   * schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   * dataItemSchemaUri field.
    * 

    *
    * .google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];
@@ -268,8 +274,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -281,8 +287,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
index 983e38ac9d62..3d4755ff82fc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
@@ -197,9 +197,8 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -216,9 +215,8 @@ public com.google.protobuf.ProtocolStringList getDatasetsList() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -235,9 +233,8 @@ public int getDatasetsCount() {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -255,9 +252,8 @@ public java.lang.String getDatasets(int index) {
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -421,9 +417,9 @@ public int getLabelerCount() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -446,9 +442,9 @@ public java.lang.String getInstructionUri() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -474,9 +470,9 @@ public com.google.protobuf.ByteString getInstructionUriBytes() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -501,9 +497,9 @@ public java.lang.String getInputsSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -617,8 +613,8 @@ public com.google.cloud.aiplatform.v1beta1.JobState getState() {
    *
    *
    * 
-   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-   * indicating the percentage of DataItems that has been finished.
+   * Output only. Current labeling job progress percentage scaled in interval
+   * [0, 100], indicating the percentage of DataItems that has been finished.
    * 

    *
    * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -636,8 +632,8 @@ public int getLabelingProgress() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -653,8 +649,8 @@ public boolean hasCurrentSpend() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -670,8 +666,8 @@ public com.google.type.Money getCurrentSpend() {
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -786,8 +782,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -802,8 +798,8 @@ public boolean hasError() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -818,8 +814,8 @@ public com.google.rpc.Status getError() {
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -866,7 +862,8 @@ public int getLabelsCount() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -896,7 +893,8 @@ public java.util.Map getLabels() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -917,7 +915,8 @@ public java.util.Map getLabelsMap() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -942,7 +941,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -2244,9 +2244,8 @@ private void ensureDatasetsIsMutable() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2263,9 +2262,8 @@ public com.google.protobuf.ProtocolStringList getDatasetsList() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2282,9 +2280,8 @@ public int getDatasetsCount() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2302,9 +2299,8 @@ public java.lang.String getDatasets(int index) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2322,9 +2318,8 @@ public com.google.protobuf.ByteString getDatasetsBytes(int index) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2349,9 +2344,8 @@ public Builder setDatasets(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2375,9 +2369,8 @@ public Builder addDatasets(java.lang.String value) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2398,9 +2391,8 @@ public Builder addAllDatasets(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2420,9 +2412,8 @@ public Builder clearDatasets() {
      *
      *
      * 
-     * Required. Dataset resource names. Right now we only support labeling from a single
-     * Dataset.
-     * Format:
+     * Required. Dataset resource names. Right now we only support labeling from a
+     * single Dataset. Format:
      * `projects/{project}/locations/{location}/datasets/{dataset}`
      * 

      *
@@ -2708,9 +2699,9 @@ public Builder clearLabelerCount() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2732,9 +2723,9 @@ public java.lang.String getInstructionUri() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2756,9 +2747,9 @@ public com.google.protobuf.ByteString getInstructionUriBytes() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2779,9 +2770,9 @@ public Builder setInstructionUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2798,9 +2789,9 @@ public Builder clearInstructionUri() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-     * shared with labelers, and provides detailed description on how to label
-     * DataItems in Datasets.
+     * Required. The Google Cloud Storage location of the instruction pdf. This
+     * pdf is shared with labelers, and provides detailed description on how to
+     * label DataItems in Datasets.
      * 

      *
      * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -2824,9 +2815,9 @@ public Builder setInstructionUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2850,9 +2841,9 @@ public java.lang.String getInputsSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2876,9 +2867,9 @@ public com.google.protobuf.ByteString getInputsSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2901,9 +2892,9 @@ public Builder setInputsSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -2922,9 +2913,9 @@ public Builder clearInputsSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the
-     * config for a specific type of DataLabelingJob.
-     * The schema files that can be used here are found in the
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the config for a specific type of DataLabelingJob. The schema files that
+     * can be used here are found in the
      * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
      * /schema/datalabelingjob/inputs/ folder.
      * 

@@ -3228,8 +3219,8 @@ public Builder clearState() {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3244,8 +3235,8 @@ public int getLabelingProgress() {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3263,8 +3254,8 @@ public Builder setLabelingProgress(int value) {
      *
      *
      * 
-     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-     * indicating the percentage of DataItems that has been finished.
+     * Output only. Current labeling job progress percentage scaled in interval
+     * [0, 100], indicating the percentage of DataItems that has been finished.
      * 

      *
      * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3286,8 +3277,8 @@ public Builder clearLabelingProgress() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3302,8 +3293,8 @@ public boolean hasCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3322,8 +3313,8 @@ public com.google.type.Money getCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3346,8 +3337,8 @@ public Builder setCurrentSpend(com.google.type.Money value) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3367,8 +3358,8 @@ public Builder setCurrentSpend(com.google.type.Money.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3393,8 +3384,8 @@ public Builder mergeCurrentSpend(com.google.type.Money value) {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3415,8 +3406,8 @@ public Builder clearCurrentSpend() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3431,8 +3422,8 @@ public com.google.type.Money.Builder getCurrentSpendBuilder() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3449,8 +3440,8 @@ public com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder() {
      *
      *
      * 
-     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-     * date.
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+     * incurred to date.
      * 

      *
      * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3881,8 +3872,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3896,8 +3887,8 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3915,8 +3906,8 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3938,8 +3929,8 @@ public Builder setError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3958,8 +3949,8 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3982,8 +3973,8 @@ public Builder mergeError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4003,8 +3994,8 @@ public Builder clearError() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4018,8 +4009,8 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4035,8 +4026,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
      *
      *
      * 
-     * Output only. DataLabelingJob errors. It is only populated when job's state is
-     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * Output only. DataLabelingJob errors. It is only populated when job's state
+     * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4092,7 +4083,8 @@ public int getLabelsCount() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4122,7 +4114,8 @@ public java.util.Map getLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4143,7 +4136,8 @@ public java.util.Map getLabelsMap() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4169,7 +4163,8 @@ public java.lang.String getLabelsOrDefault(
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4202,7 +4197,8 @@ public Builder clearLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4231,7 +4227,8 @@ public java.util.Map getMutableLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
@@ -4259,7 +4256,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each DataLabelingJob:
      * * "aiplatform.googleapis.com/schema": output only, its value is the
-     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+     *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+     *   title.
      * 

      *
      * map<string, string> labels = 11;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
index 60d0b62d57b4..77291fb6424d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
@@ -83,9 +83,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -100,9 +99,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -117,9 +115,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -135,9 +132,8 @@ public interface DataLabelingJobOrBuilder
    *
    *
    * 
-   * Required. Dataset resource names. Right now we only support labeling from a single
-   * Dataset.
-   * Format:
+   * Required. Dataset resource names. Right now we only support labeling from a
+   * single Dataset. Format:
    * `projects/{project}/locations/{location}/datasets/{dataset}`
    * 

    *
@@ -256,9 +252,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -270,9 +266,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-   * shared with labelers, and provides detailed description on how to label
-   * DataItems in Datasets.
+   * Required. The Google Cloud Storage location of the instruction pdf. This
+   * pdf is shared with labelers, and provides detailed description on how to
+   * label DataItems in Datasets.
    * 

    *
    * string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];
@@ -285,9 +281,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -301,9 +297,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the
-   * config for a specific type of DataLabelingJob.
-   * The schema files that can be used here are found in the
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the config for a specific type of DataLabelingJob. The schema files that
+   * can be used here are found in the
    * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
    * /schema/datalabelingjob/inputs/ folder.
    * 

@@ -382,8 +378,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
-   * indicating the percentage of DataItems that has been finished.
+   * Output only. Current labeling job progress percentage scaled in interval
+   * [0, 100], indicating the percentage of DataItems that has been finished.
    * 

    *
    * int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -396,8 +392,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -410,8 +406,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -424,8 +420,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-   * date.
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+   * incurred to date.
    * 

    *
    * .google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -513,8 +509,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -526,8 +522,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -539,8 +535,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Output only. DataLabelingJob errors. It is only populated when job's state is
-   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * Output only. DataLabelingJob errors. It is only populated when job's state
+   * is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -559,7 +555,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -577,7 +574,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -598,7 +596,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -616,7 +615,8 @@ java.lang.String getAnnotationLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
@@ -639,7 +639,8 @@ java.lang.String getLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each DataLabelingJob:
    * * "aiplatform.googleapis.com/schema": output only, its value is the
-   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+   *   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+   *   title.
    * 

    *
    * map<string, string> labels = 11;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
index 2a38c08a4253..b30758fdbe91 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
@@ -43,6 +43,7 @@ private Dataset() {
     description_ = "";
     metadataSchemaUri_ = "";
     etag_ = "";
+    savedQueries_ = java.util.Collections.emptyList();
     metadataArtifact_ = "";
   }
 
@@ -240,11 +241,10 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -267,11 +267,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -525,7 +524,9 @@ public int getLabelsCount() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -557,7 +558,9 @@ public java.util.Map getLabels() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -580,7 +583,9 @@ public java.util.Map getLabelsMap() {
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -607,7 +612,9 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -624,6 +631,106 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int SAVED_QUERIES_FIELD_NUMBER = 9;
+  private java.util.List savedQueries_;
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public java.util.List getSavedQueriesList() {
+    return savedQueries_;
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public java.util.List
+      getSavedQueriesOrBuilderList() {
+    return savedQueries_;
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public int getSavedQueriesCount() {
+    return savedQueries_.size();
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.SavedQuery getSavedQueries(int index) {
+    return savedQueries_.get(index);
+  }
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder getSavedQueriesOrBuilder(
+      int index) {
+    return savedQueries_.get(index);
+  }
+
   public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
   private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
   /**
@@ -681,8 +788,9 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryption
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -706,8 +814,9 @@ public java.lang.String getMetadataArtifact() {
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -765,6 +874,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (metadata_ != null) {
       output.writeMessage(8, getMetadata());
     }
+    for (int i = 0; i < savedQueries_.size(); i++) {
+      output.writeMessage(9, savedQueries_.get(i));
+    }
     if (encryptionSpec_ != null) {
       output.writeMessage(11, getEncryptionSpec());
     }
@@ -814,6 +926,9 @@ public int getSerializedSize() {
     if (metadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
     }
+    for (int i = 0; i < savedQueries_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, savedQueries_.get(i));
+    }
     if (encryptionSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
     }
@@ -857,6 +972,7 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (!getSavedQueriesList().equals(other.getSavedQueriesList())) return false;
     if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
     if (hasEncryptionSpec()) {
       if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
@@ -899,6 +1015,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (getSavedQueriesCount() > 0) {
+      hash = (37 * hash) + SAVED_QUERIES_FIELD_NUMBER;
+      hash = (53 * hash) + getSavedQueriesList().hashCode();
+    }
     if (hasEncryptionSpec()) {
       hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
       hash = (53 * hash) + getEncryptionSpec().hashCode();
@@ -1092,6 +1212,13 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (savedQueriesBuilder_ == null) {
+        savedQueries_ = java.util.Collections.emptyList();
+      } else {
+        savedQueries_ = null;
+        savedQueriesBuilder_.clear();
+      }
+      bitField0_ = (bitField0_ & ~0x00000002);
       if (encryptionSpecBuilder_ == null) {
         encryptionSpec_ = null;
       } else {
@@ -1150,6 +1277,15 @@ public com.google.cloud.aiplatform.v1beta1.Dataset buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (savedQueriesBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          savedQueries_ = java.util.Collections.unmodifiableList(savedQueries_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.savedQueries_ = savedQueries_;
+      } else {
+        result.savedQueries_ = savedQueriesBuilder_.build();
+      }
       if (encryptionSpecBuilder_ == null) {
         result.encryptionSpec_ = encryptionSpec_;
       } else {
@@ -1235,6 +1371,33 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Dataset other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (savedQueriesBuilder_ == null) {
+        if (!other.savedQueries_.isEmpty()) {
+          if (savedQueries_.isEmpty()) {
+            savedQueries_ = other.savedQueries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureSavedQueriesIsMutable();
+            savedQueries_.addAll(other.savedQueries_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.savedQueries_.isEmpty()) {
+          if (savedQueriesBuilder_.isEmpty()) {
+            savedQueriesBuilder_.dispose();
+            savedQueriesBuilder_ = null;
+            savedQueries_ = other.savedQueries_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            savedQueriesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getSavedQueriesFieldBuilder()
+                    : null;
+          } else {
+            savedQueriesBuilder_.addAllMessages(other.savedQueries_);
+          }
+        }
+      }
       if (other.hasEncryptionSpec()) {
         mergeEncryptionSpec(other.getEncryptionSpec());
       }
@@ -1321,6 +1484,19 @@ public Builder mergeFrom(
 
                 break;
               } // case 66
+            case 74:
+              {
+                com.google.cloud.aiplatform.v1beta1.SavedQuery m =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1beta1.SavedQuery.parser(), extensionRegistry);
+                if (savedQueriesBuilder_ == null) {
+                  ensureSavedQueriesIsMutable();
+                  savedQueries_.add(m);
+                } else {
+                  savedQueriesBuilder_.addMessage(m);
+                }
+                break;
+              } // case 74
             case 90:
               {
                 input.readMessage(getEncryptionSpecFieldBuilder().getBuilder(), extensionRegistry);
@@ -1691,11 +1867,10 @@ public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1717,11 +1892,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1743,11 +1917,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1768,11 +1941,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1789,11 +1961,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Dataset.
-     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-     * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Dataset. The schema is defined as an
+     * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+     * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
      * 

      *
      * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -2543,7 +2714,9 @@ public int getLabelsCount() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2575,7 +2748,9 @@ public java.util.Map getLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2598,7 +2773,9 @@ public java.util.Map getLabelsMap() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2626,7 +2803,9 @@ public java.lang.String getLabelsOrDefault(
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2661,7 +2840,9 @@ public Builder clearLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2692,7 +2873,9 @@ public java.util.Map getMutableLabels() {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2722,7 +2905,9 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
      * and are immutable. Following system labels exist for each Dataset:
      * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-     *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+     *   value is the
+     *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+     *   title.
      * 

      *
      * map<string, string> labels = 7;
@@ -2732,6 +2917,470 @@ public Builder putAllLabels(java.util.Map va
       return this;
     }
 
+    private java.util.List savedQueries_ =
+        java.util.Collections.emptyList();
+
+    private void ensureSavedQueriesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        savedQueries_ =
+            new java.util.ArrayList(savedQueries_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.SavedQuery,
+            com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder,
+            com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder>
+        savedQueriesBuilder_;
+
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List getSavedQueriesList() {
+      if (savedQueriesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(savedQueries_);
+      } else {
+        return savedQueriesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public int getSavedQueriesCount() {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.size();
+      } else {
+        return savedQueriesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1beta1.SavedQuery getSavedQueries(int index) {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.get(index);
+      } else {
+        return savedQueriesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder setSavedQueries(
+        int index, com.google.cloud.aiplatform.v1beta1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.set(index, value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder setSavedQueries(
+        int index, com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(com.google.cloud.aiplatform.v1beta1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(
+        int index, com.google.cloud.aiplatform.v1beta1.SavedQuery value) {
+      if (savedQueriesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(index, value);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(
+        com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder addSavedQueries(
+        int index, com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder builderForValue) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder addAllSavedQueries(
+        java.lang.Iterable values) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, savedQueries_);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder clearSavedQueries() {
+      if (savedQueriesBuilder_ == null) {
+        savedQueries_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public Builder removeSavedQueries(int index) {
+      if (savedQueriesBuilder_ == null) {
+        ensureSavedQueriesIsMutable();
+        savedQueries_.remove(index);
+        onChanged();
+      } else {
+        savedQueriesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder getSavedQueriesBuilder(
+        int index) {
+      return getSavedQueriesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder getSavedQueriesOrBuilder(
+        int index) {
+      if (savedQueriesBuilder_ == null) {
+        return savedQueries_.get(index);
+      } else {
+        return savedQueriesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List
+        getSavedQueriesOrBuilderList() {
+      if (savedQueriesBuilder_ != null) {
+        return savedQueriesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(savedQueries_);
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder addSavedQueriesBuilder() {
+      return getSavedQueriesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1beta1.SavedQuery.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder addSavedQueriesBuilder(
+        int index) {
+      return getSavedQueriesFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1beta1.SavedQuery.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * 
+     * All SavedQueries belong to the Dataset will be returned in List/Get
+     * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+     * will not be populated except for UI cases which will only use
+     * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+     * In CreateDataset request, a SavedQuery is created together if
+     * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+     * The SavedQuery should not contain any AnnotationSpec.
+     * 

+     *
+     * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+     */
+    public java.util.List
+        getSavedQueriesBuilderList() {
+      return getSavedQueriesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.SavedQuery,
+            com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder,
+            com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder>
+        getSavedQueriesFieldBuilder() {
+      if (savedQueriesBuilder_ == null) {
+        savedQueriesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.SavedQuery,
+                com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder,
+                com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder>(
+                savedQueries_, ((bitField0_ & 0x00000002) != 0), getParentForChildren(), isClean());
+        savedQueries_ = null;
+      }
+      return savedQueriesBuilder_;
+    }
+
     private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
@@ -2933,8 +3582,9 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -2957,8 +3607,9 @@ public java.lang.String getMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -2981,8 +3632,9 @@ public com.google.protobuf.ByteString getMetadataArtifactBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -3004,8 +3656,9 @@ public Builder setMetadataArtifact(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -3023,8 +3676,9 @@ public Builder clearMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Dataset. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Dataset. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
index b297c348ddbf..c7d4ab094b28 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
@@ -106,11 +106,10 @@ public interface DatasetOrBuilder
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -122,11 +121,10 @@ public interface DatasetOrBuilder
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Dataset.
-   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
-   * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Dataset. The schema is defined as an
+   * OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+   * found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
    * 

    *
    * string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -287,7 +285,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -307,7 +307,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -330,7 +332,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -350,7 +354,9 @@ public interface DatasetOrBuilder
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
@@ -375,13 +381,97 @@ java.lang.String getLabelsOrDefault(
    * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
    * and are immutable. Following system labels exist for each Dataset:
    * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-   *   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+   *   value is the
+   *   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+   *   title.
    * 

    *
    * map<string, string> labels = 7;
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
 
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  java.util.List getSavedQueriesList();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  com.google.cloud.aiplatform.v1beta1.SavedQuery getSavedQueries(int index);
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  int getSavedQueriesCount();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  java.util.List
+      getSavedQueriesOrBuilderList();
+  /**
+   *
+   *
+   * 
+   * All SavedQueries belong to the Dataset will be returned in List/Get
+   * Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+   * will not be populated except for UI cases which will only use
+   * [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+   * In CreateDataset request, a SavedQuery is created together if
+   * this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+   * The SavedQuery should not contain any AnnotationSpec.
+   * 

+   *
+   * repeated .google.cloud.aiplatform.v1beta1.SavedQuery saved_queries = 9;
+   */
+  com.google.cloud.aiplatform.v1beta1.SavedQueryOrBuilder getSavedQueriesOrBuilder(int index);
+
   /**
    *
    *
@@ -424,8 +514,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -438,8 +529,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Dataset. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Dataset. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
index 563084118817..7f4a8e91f5d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
@@ -65,45 +65,48 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "\032\037google/api/field_behavior.proto\032\031googl"
           + "e/api/resource.proto\0325google/cloud/aipla"
           + "tform/v1beta1/encryption_spec.proto\032(goo"
-          + "gle/cloud/aiplatform/v1beta1/io.proto\032\034g"
-          + "oogle/protobuf/struct.proto\032\037google/prot"
-          + "obuf/timestamp.proto\"\332\004\n\007Dataset\022\021\n\004name"
-          + "\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022\023"
-          + "\n\013description\030\020 \001(\t\022 \n\023metadata_schema_u"
-          + "ri\030\003 \001(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\0132\026.google"
-          + ".protobuf.ValueB\003\340A\002\0224\n\013create_time\030\004 \001("
-          + "\0132\032.google.protobuf.TimestampB\003\340A\003\0224\n\013up"
-          + "date_time\030\005 \001(\0132\032.google.protobuf.Timest"
-          + "ampB\003\340A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006labels\030\007 \003(\01324"
-          + ".google.cloud.aiplatform.v1beta1.Dataset"
-          + ".LabelsEntry\022H\n\017encryption_spec\030\013 \001(\0132/."
-          + "google.cloud.aiplatform.v1beta1.Encrypti"
-          + "onSpec\022\036\n\021metadata_artifact\030\021 \001(\tB\003\340A\003\032-"
-          + "\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001("
-          + "\t:\0028\001:b\352A_\n!aiplatform.googleapis.com/Da"
-          + "taset\022:projects/{project}/locations/{loc"
-          + "ation}/datasets/{dataset}\"\263\003\n\020ImportData"
-          + "Config\022@\n\ngcs_source\030\001 \001(\0132*.google.clou"
-          + "d.aiplatform.v1beta1.GcsSourceH\000\022_\n\020data"
-          + "_item_labels\030\002 \003(\0132E.google.cloud.aiplat"
-          + "form.v1beta1.ImportDataConfig.DataItemLa"
-          + "belsEntry\022b\n\021annotation_labels\030\003 \003(\0132G.g"
-          + "oogle.cloud.aiplatform.v1beta1.ImportDat"
-          + "aConfig.AnnotationLabelsEntry\022\036\n\021import_"
-          + "schema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsE"
-          + "ntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\0327\n\025"
-          + "AnnotationLabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005va"
-          + "lue\030\002 \001(\t:\0028\001B\010\n\006source\"\211\001\n\020ExportDataCo"
-          + "nfig\022J\n\017gcs_destination\030\001 \001(\0132/.google.c"
-          + "loud.aiplatform.v1beta1.GcsDestinationH\000"
-          + "\022\032\n\022annotations_filter\030\002 \001(\tB\r\n\013destinat"
-          + "ionB\351\001\n#com.google.cloud.aiplatform.v1be"
-          + "ta1B\014DatasetProtoP\001ZIgoogle.golang.org/g"
-          + "enproto/googleapis/cloud/aiplatform/v1be"
-          + "ta1;aiplatform\252\002\037Google.Cloud.AIPlatform"
-          + ".V1Beta1\312\002\037Google\\Cloud\\AIPlatform\\V1bet"
-          + "a1\352\002\"Google::Cloud::AIPlatform::V1beta1b"
-          + "\006proto3"
+          + "gle/cloud/aiplatform/v1beta1/io.proto\0321g"
+          + "oogle/cloud/aiplatform/v1beta1/saved_que"
+          + "ry.proto\032\034google/protobuf/struct.proto\032\037"
+          + "google/protobuf/timestamp.proto\"\236\005\n\007Data"
+          + "set\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002"
+          + " \001(\tB\003\340A\002\022\023\n\013description\030\020 \001(\t\022 \n\023metada"
+          + "ta_schema_uri\030\003 \001(\tB\003\340A\002\022-\n\010metadata\030\010 \001"
+          + "(\0132\026.google.protobuf.ValueB\003\340A\002\0224\n\013creat"
+          + "e_time\030\004 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\0224\n\013update_time\030\005 \001(\0132\032.google.prot"
+          + "obuf.TimestampB\003\340A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006lab"
+          + "els\030\007 \003(\01324.google.cloud.aiplatform.v1be"
+          + "ta1.Dataset.LabelsEntry\022B\n\rsaved_queries"
+          + "\030\t \003(\0132+.google.cloud.aiplatform.v1beta1"
+          + ".SavedQuery\022H\n\017encryption_spec\030\013 \001(\0132/.g"
+          + "oogle.cloud.aiplatform.v1beta1.Encryptio"
+          + "nSpec\022\036\n\021metadata_artifact\030\021 \001(\tB\003\340A\003\032-\n"
+          + "\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t"
+          + ":\0028\001:b\352A_\n!aiplatform.googleapis.com/Dat"
+          + "aset\022:projects/{project}/locations/{loca"
+          + "tion}/datasets/{dataset}\"\263\003\n\020ImportDataC"
+          + "onfig\022@\n\ngcs_source\030\001 \001(\0132*.google.cloud"
+          + ".aiplatform.v1beta1.GcsSourceH\000\022_\n\020data_"
+          + "item_labels\030\002 \003(\0132E.google.cloud.aiplatf"
+          + "orm.v1beta1.ImportDataConfig.DataItemLab"
+          + "elsEntry\022b\n\021annotation_labels\030\003 \003(\0132G.go"
+          + "ogle.cloud.aiplatform.v1beta1.ImportData"
+          + "Config.AnnotationLabelsEntry\022\036\n\021import_s"
+          + "chema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEn"
+          + "try\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\0327\n\025A"
+          + "nnotationLabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005val"
+          + "ue\030\002 \001(\t:\0028\001B\010\n\006source\"\211\001\n\020ExportDataCon"
+          + "fig\022J\n\017gcs_destination\030\001 \001(\0132/.google.cl"
+          + "oud.aiplatform.v1beta1.GcsDestinationH\000\022"
+          + "\032\n\022annotations_filter\030\002 \001(\tB\r\n\013destinati"
+          + "onB\351\001\n#com.google.cloud.aiplatform.v1bet"
+          + "a1B\014DatasetProtoP\001ZIgoogle.golang.org/ge"
+          + "nproto/googleapis/cloud/aiplatform/v1bet"
+          + "a1;aiplatform\252\002\037Google.Cloud.AIPlatform."
+          + "V1Beta1\312\002\037Google\\Cloud\\AIPlatform\\V1beta"
+          + "1\352\002\"Google::Cloud::AIPlatform::V1beta1b\006"
+          + "proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -113,6 +116,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.SavedQueryProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
             });
@@ -131,6 +135,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Etag",
               "Labels",
+              "SavedQueries",
               "EncryptionSpec",
               "MetadataArtifact",
             });
@@ -188,6 +193,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.SavedQueryProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
   }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResources.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResources.java
index 6caa26c074c0..cfa9e4eb9038 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResources.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResources.java
@@ -74,7 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -91,7 +92,8 @@ public boolean hasMachineSpec() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -110,7 +112,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -128,8 +131,9 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
    *
    *
    * 
-   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-   * deployed on. This value must be greater than or equal to 1.
+   * Required. Immutable. The minimum number of machine replicas this
+   * DeployedModel will be always deployed on. This value must be greater than
+   * or equal to 1.
    * If traffic against the DeployedModel increases, it may dynamically be
    * deployed onto more replicas, and as traffic decreases, some of these extra
    * replicas may be freed.
@@ -152,14 +156,15 @@ public int getMinReplicaCount() {
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-   * default value.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, will use
+   * [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+   * as the default value.
    * The value of this field impacts the charge against Vertex CPU and GPU
    * quotas. Specifically, you will be charged for (max_replica_count *
    * number of cores in the selected machine type) and (max_replica_count *
@@ -186,19 +191,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -218,19 +226,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -251,19 +262,22 @@ public int getMaxReplicaCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -282,19 +296,22 @@ public int getAutoscalingMetricSpecsCount() {
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -314,19 +331,22 @@ public com.google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec getAutoscalingM
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -809,7 +829,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -825,7 +846,8 @@ public boolean hasMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -847,7 +869,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -871,7 +894,8 @@ public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec va
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -893,7 +917,8 @@ public Builder setMachineSpec(
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -921,7 +946,8 @@ public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -943,7 +969,8 @@ public Builder clearMachineSpec() {
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -959,7 +986,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBui
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -979,7 +1007,8 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * 
-     * Required. Immutable. The specification of a single machine used by the prediction.
+     * Required. Immutable. The specification of a single machine used by the
+     * prediction.
      * 

      *
      * 
@@ -1008,8 +1037,9 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1029,8 +1059,9 @@ public int getMinReplicaCount() {
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1053,8 +1084,9 @@ public Builder setMinReplicaCount(int value) {
      *
      *
      * 
-     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-     * deployed on. This value must be greater than or equal to 1.
+     * Required. Immutable. The minimum number of machine replicas this
+     * DeployedModel will be always deployed on. This value must be greater than
+     * or equal to 1.
      * If traffic against the DeployedModel increases, it may dynamically be
      * deployed onto more replicas, and as traffic decreases, some of these extra
      * replicas may be freed.
@@ -1078,14 +1110,15 @@ public Builder clearMinReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1104,14 +1137,15 @@ public int getMaxReplicaCount() {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1133,14 +1167,15 @@ public Builder setMaxReplicaCount(int value) {
      *
      *
      * 
-     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-     * the traffic against it increases. If the requested value is too large,
-     * the deployment will error, but if deployment succeeds then the ability
-     * to scale the model to that many replicas is guaranteed (barring service
-     * outages). If traffic against the DeployedModel increases beyond what its
-     * replicas at maximum may handle, a portion of the traffic will be dropped.
-     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-     * default value.
+     * Immutable. The maximum number of replicas this DeployedModel may be
+     * deployed on when the traffic against it increases. If the requested value
+     * is too large, the deployment will error, but if deployment succeeds then
+     * the ability to scale the model to that many replicas is guaranteed (barring
+     * service outages). If traffic against the DeployedModel increases beyond
+     * what its replicas at maximum may handle, a portion of the traffic will be
+     * dropped. If this value is not provided, will use
+     * [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+     * as the default value.
      * The value of this field impacts the charge against Vertex CPU and GPU
      * quotas. Specifically, you will be charged for (max_replica_count *
      * number of cores in the selected machine type) and (max_replica_count *
@@ -1184,19 +1219,22 @@ private void ensureAutoscalingMetricSpecsIsMutable() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1219,19 +1257,22 @@ private void ensureAutoscalingMetricSpecsIsMutable() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1253,19 +1294,22 @@ public int getAutoscalingMetricSpecsCount() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1288,19 +1332,22 @@ public com.google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec getAutoscalingM
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1329,19 +1376,22 @@ public Builder setAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1368,19 +1418,22 @@ public Builder setAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1409,19 +1462,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1450,19 +1506,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1488,19 +1547,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1527,19 +1589,22 @@ public Builder addAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1566,19 +1631,22 @@ public Builder addAllAutoscalingMetricSpecs(
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1603,19 +1671,22 @@ public Builder clearAutoscalingMetricSpecs() {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1640,19 +1711,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1671,19 +1745,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1706,19 +1783,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1742,19 +1822,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1775,19 +1858,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
@@ -1809,19 +1895,22 @@ public Builder removeAutoscalingMetricSpecs(int index) {
      * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
      * target value (default to 60 if not set). At most one entry is allowed per
      * metric.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * above 0, the autoscaling will be based on both CPU utilization and
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is above 0, the autoscaling will be based on both CPU utilization and
      * accelerator's duty cycle metrics and scale up when either metrics exceeds
      * its target value while scale down if both metrics are under their target
      * value. The default target value is 60 for both metrics.
-     * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-     * 0, the autoscaling will be based on CPU utilization metric only with
+     * If
+     * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+     * is 0, the autoscaling will be based on CPU utilization metric only with
      * default target value 60 if not explicitly set.
      * For example, in the case of Online Prediction, if you want to override
      * target CPU utilization to 80, you should set
      * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
      * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+     * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+     * to `80`.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResourcesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResourcesOrBuilder.java
index 696b0ccf11ac..a0fe2467d27b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResourcesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResourcesOrBuilder.java
@@ -27,7 +27,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The specification of a single machine used by the prediction.
+   * Required. Immutable. The specification of a single machine used by the
+   * prediction.
    * 

    *
    * 
@@ -68,8 +71,9 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-   * deployed on. This value must be greater than or equal to 1.
+   * Required. Immutable. The minimum number of machine replicas this
+   * DeployedModel will be always deployed on. This value must be greater than
+   * or equal to 1.
    * If traffic against the DeployedModel increases, it may dynamically be
    * deployed onto more replicas, and as traffic decreases, some of these extra
    * replicas may be freed.
@@ -87,14 +91,15 @@ public interface DedicatedResourcesOrBuilder
    *
    *
    * 
-   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-   * the traffic against it increases. If the requested value is too large,
-   * the deployment will error, but if deployment succeeds then the ability
-   * to scale the model to that many replicas is guaranteed (barring service
-   * outages). If traffic against the DeployedModel increases beyond what its
-   * replicas at maximum may handle, a portion of the traffic will be dropped.
-   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-   * default value.
+   * Immutable. The maximum number of replicas this DeployedModel may be
+   * deployed on when the traffic against it increases. If the requested value
+   * is too large, the deployment will error, but if deployment succeeds then
+   * the ability to scale the model to that many replicas is guaranteed (barring
+   * service outages). If traffic against the DeployedModel increases beyond
+   * what its replicas at maximum may handle, a portion of the traffic will be
+   * dropped. If this value is not provided, will use
+   * [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+   * as the default value.
    * The value of this field impacts the charge against Vertex CPU and GPU
    * quotas. Specifically, you will be charged for (max_replica_count *
    * number of cores in the selected machine type) and (max_replica_count *
@@ -115,19 +120,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -144,19 +152,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -172,19 +183,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -200,19 +214,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
@@ -229,19 +246,22 @@ public interface DedicatedResourcesOrBuilder
    * utilization metric (CPU utilization, accelerator's duty cycle, and so on)
    * target value (default to 60 if not set). At most one entry is allowed per
    * metric.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * above 0, the autoscaling will be based on both CPU utilization and
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is above 0, the autoscaling will be based on both CPU utilization and
    * accelerator's duty cycle metrics and scale up when either metrics exceeds
    * its target value while scale down if both metrics are under their target
    * value. The default target value is 60 for both metrics.
-   * If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-   * 0, the autoscaling will be based on CPU utilization metric only with
+   * If
+   * [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+   * is 0, the autoscaling will be based on CPU utilization metric only with
    * default target value 60 if not explicitly set.
    * For example, in the case of Online Prediction, if you want to override
    * target CPU utilization to 80, you should set
    * [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
    * to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
+   * [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+   * to `80`.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteArtifactRequest.java
index aabac549dca2..e93577c0716e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
+ * Request message for
+ * [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteArtifactRequest}
@@ -351,7 +352,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
+   * Request message for
+   * [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequest.java
index fea182a3c2a5..894bc4e73c36 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
+ * Request message for
+ * [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
+   * Request message for
+   * [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequest.java
index da3f43b2998a..4586e2167372 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
+ * Request message for
+ * [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteContextRequest}
@@ -379,7 +380,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
+   * Request message for
+   * [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteContextRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequest.java
index a9a1c9f01d0f..58c7d22e69b2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
+ * Request message for
+ * [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
+   * Request message for
+   * [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequest.java
index 8ab863dfabbb..8db8885956c9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
+ * Request message for
+ * [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
+   * Request message for
+   * [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequest.java
index feef69da0579..bdd9158bbe72 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
+ * Request message for
+ * [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteDatasetRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
+   * Request message for
+   * [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequest.java
index ed185da84398..915b1c06669f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
+ * Request message for
+ * [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
+   * Request message for
+   * [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteExecutionRequest.java
index cf1731514572..135d7b0fcac2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
+ * Request message for
+ * [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteExecutionRequest}
@@ -351,7 +352,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
+   * Request message for
+   * [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequest.java
index f682a16a678a..bbcebdc12ff3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
+ * Request message for
+ * [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
+   * Request message for
+   * [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequest.java
index 310c89dbc282..5ba39c4688bb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+ * Request message for
+ * [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest}
@@ -76,8 +77,8 @@ public interface SelectEntityOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -91,8 +92,8 @@ public interface SelectEntityOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -106,8 +107,8 @@ public interface SelectEntityOrBuilder
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -172,8 +173,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -190,8 +191,8 @@ public boolean hasEntityIdSelector() {
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -210,8 +211,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityIdSelector getEntityIdSelector(
      *
      *
      * 
-     * Required. Selectors choosing feature values of which entity id to be deleted from
-     * the EntityType.
+     * Required. Selectors choosing feature values of which entity id to be
+     * deleted from the EntityType.
      * 

      *
      * 
@@ -602,8 +603,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -619,8 +620,8 @@ public boolean hasEntityIdSelector() {
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -642,8 +643,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityIdSelector getEntityIdSelector(
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -668,8 +669,8 @@ public Builder setEntityIdSelector(
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -691,8 +692,8 @@ public Builder setEntityIdSelector(
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -721,8 +722,8 @@ public Builder mergeEntityIdSelector(
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -744,8 +745,8 @@ public Builder clearEntityIdSelector() {
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -762,8 +763,8 @@ public Builder clearEntityIdSelector() {
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -784,8 +785,8 @@ public Builder clearEntityIdSelector() {
        *
        *
        * 
-       * Required. Selectors choosing feature values of which entity id to be deleted from
-       * the EntityType.
+       * Required. Selectors choosing feature values of which entity id to be
+       * deleted from the EntityType.
        * 

        *
        * 
@@ -2345,8 +2346,8 @@ public boolean hasSelectTimeRangeAndFeature() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being deleted from. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being deleted from. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -2372,8 +2373,8 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being deleted from. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being deleted from. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -2611,7 +2612,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+   * Request message for
+   * [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest}
@@ -3371,8 +3373,8 @@ public Builder clearSelectTimeRangeAndFeature() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being deleted from. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being deleted from. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3397,8 +3399,8 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being deleted from. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being deleted from. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3423,8 +3425,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being deleted from. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being deleted from. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3448,8 +3450,8 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being deleted from. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being deleted from. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3469,8 +3471,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being deleted from. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being deleted from. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequestOrBuilder.java
index 5791ee083c0e..3bb92e99b2e6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesRequestOrBuilder.java
@@ -115,8 +115,8 @@ public interface DeleteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being deleted from. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being deleted from. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -131,8 +131,8 @@ public interface DeleteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being deleted from. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being deleted from. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesResponse.java
index 9e0810deeaa5..286b1c038a77 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+ * Response message for
+ * [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+   * Response message for
+   * [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequest.java
index 28877f339959..759e3bcf0c3b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
+ * Request message for
+ * [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest}
@@ -317,7 +318,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
+   * Request message for
+   * [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequest.java
index bdc2979f8a55..7bc18f4195c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
+ * Request message for
+ * [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest}
@@ -292,7 +293,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
+   * Request message for
+   * [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequest.java
index 0e106f8c0f76..00b5ffb3cb46 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequest.java
index c35fc21a5b98..b62f190f8cab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
+ * Request message for
+ * [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteIndexRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
+   * Request message for
+   * [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadata.java
index 12d32269e5cf..5972a39ad86a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+ * Details of operations that perform
+ * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteMetadataStoreOperationMetadata}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+   * Details of operations that perform
+   * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteMetadataStoreOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequest.java
index 57791b89dcc0..06469219881d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+ * Request message for
+ * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest}
@@ -136,7 +137,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    * bool force = 2 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.force is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/metadata_service.proto;l=462
+   *     google/cloud/aiplatform/v1beta1/metadata_service.proto;l=490
    * @return The force.
    */
   @java.lang.Override
@@ -318,7 +319,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+   * Request message for
+   * [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest}
@@ -636,7 +638,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.force is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=462
+     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=490
      * @return The force.
      */
     @java.lang.Override
@@ -654,7 +656,7 @@ public boolean getForce() {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.force is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=462
+     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=490
      * @param value The force to set.
      * @return This builder for chaining.
      */
@@ -675,7 +677,7 @@ public Builder setForce(boolean value) {
      * bool force = 2 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.force is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=462
+     *     See google/cloud/aiplatform/v1beta1/metadata_service.proto;l=490
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequestOrBuilder.java
index 10525be36f22..bf8b93c61dbd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequestOrBuilder.java
@@ -66,7 +66,7 @@ public interface DeleteMetadataStoreRequestOrBuilder
    * bool force = 2 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.force is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/metadata_service.proto;l=462
+   *     google/cloud/aiplatform/v1beta1/metadata_service.proto;l=490
    * @return The force.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequest.java
index d1658285643f..c288efbdfef3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
+ * Request message for
+ * [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteModelRequest}
@@ -286,7 +287,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
+   * Request message for
+   * [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequest.java
index 5e12080a1d68..59862388ad2f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
+ * Request message for
+ * [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getName() {
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
+   * Request message for
+   * [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest}
@@ -462,8 +464,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -488,8 +490,8 @@ public java.lang.String getName() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -514,8 +516,8 @@ public com.google.protobuf.ByteString getNameBytes() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -539,8 +541,8 @@ public Builder setName(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
@@ -560,8 +562,8 @@ public Builder clearName() {
      *
      *
      * 
-     * Required. The name of the model version to be deleted, with a version ID explicitly
-     * included.
+     * Required. The name of the model version to be deleted, with a version ID
+     * explicitly included.
      * Example: `projects/{project}/locations/{location}/models/{model}@1234`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequestOrBuilder.java
index 9e455b2b172f..f6667c974f66 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelVersionRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface DeleteModelVersionRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
@@ -43,8 +43,8 @@ public interface DeleteModelVersionRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the model version to be deleted, with a version ID explicitly
-   * included.
+   * Required. The name of the model version to be deleted, with a version ID
+   * explicitly included.
    * Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequest.java
index 934e7cd2637b..f5fdb740ac86 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
+ * Request message for
+ * [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeletePipelineJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
+   * Request message for
+   * [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeletePipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequest.java
index d3b341e04058..dca7958c5495 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteSpecialistPoolRequest}
@@ -315,7 +316,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequest.java
index 6fc5d62d5c14..4d4955b390fa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
+ * Request message for
+ * [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteStudyRequest}
@@ -286,7 +287,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
+   * Request message for
+   * [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequest.java
index 419d5800d40c..21899842ae8b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequest.java
index a6f0a83631ac..10a57752729e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
+ * Request message for
+ * [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
+   * Request message for
+   * [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequest.java
index c78a7d2ab7e8..f098e103afe4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequest.java
index 84a792995426..5f8734c8a6af 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequest.java
index 4be290b5d7c2..983eedd60fca 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
+ * Request message for
+ * [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest}
@@ -289,7 +290,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
+   * Request message for
+   * [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequest.java
index cfcfb94445b4..bf800100c60b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
+ * Request message for
+ * [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTrialRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
+   * Request message for
+   * [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeleteTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadata.java
index 3d594af7e3f9..86dec1843fec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+ * Runtime operation information for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata}
@@ -343,7 +344,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+   * Runtime operation information for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequest.java
index 3e2d4a17596f..cf62df3204a3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+ * Request message for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+   * Request message for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexRequest}
@@ -548,8 +550,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -574,8 +576,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -600,8 +602,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -625,8 +627,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -646,8 +648,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequestOrBuilder.java
index b79e32550f8c..106b45790e8d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface DeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface DeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexResponse.java
index 0603704516ca..ce9409b2f67c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+ * Response message for
+ * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexResponse}
@@ -282,7 +283,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+   * Response message for
+   * [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadata.java
index c258fd17cea0..80af2cf9abf1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+ * Runtime operation information for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+   * Runtime operation information for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequest.java
index 1be7a21e1674..5190aa210143 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+ * Request message for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelRequest}
@@ -142,8 +143,9 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -162,8 +164,9 @@ public boolean hasDeployedModel() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -184,8 +187,9 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel getDeployedModel() {
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -232,12 +236,14 @@ public int getTrafficSplitCount() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -262,12 +268,14 @@ public java.util.Map getTrafficSplit() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -283,12 +291,14 @@ public java.util.Map getTrafficSplitMap() {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -308,12 +318,14 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -525,7 +537,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+   * Request message for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelRequest}
@@ -887,8 +900,9 @@ public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -906,8 +920,9 @@ public boolean hasDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -931,8 +946,9 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel getDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -958,8 +974,9 @@ public Builder setDeployedModel(com.google.cloud.aiplatform.v1beta1.DeployedMode
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -983,8 +1000,9 @@ public Builder setDeployedModel(
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1014,8 +1032,9 @@ public Builder mergeDeployedModel(com.google.cloud.aiplatform.v1beta1.DeployedMo
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1039,8 +1058,9 @@ public Builder clearDeployedModel() {
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1058,8 +1078,9 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder getDeployedMode
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1081,8 +1102,9 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelOrBuilder getDeployedMod
      *
      * 
      * Required. The DeployedModel to be created within the Endpoint. Note that
-     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-     * receiving traffic, either as part of this call, or via
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * must be updated for the DeployedModel to start receiving traffic, either as
+     * part of this call, or via
      * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
      * 

      *
@@ -1142,12 +1164,14 @@ public int getTrafficSplitCount() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1172,12 +1196,14 @@ public java.util.Map getTrafficSplit() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1193,12 +1219,14 @@ public java.util.Map getTrafficSplitMap() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1218,12 +1246,14 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1251,12 +1281,14 @@ public Builder clearTrafficSplit() {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1280,12 +1312,14 @@ public java.util.Map getMutableTrafficSplit
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1305,12 +1339,14 @@ public Builder putTrafficSplit(java.lang.String key, int value) {
      * A map from a DeployedModel's ID to the percentage of this Endpoint's
      * traffic that should be forwarded to that DeployedModel.
      * If this field is non-empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-     * To refer to the ID of the just being deployed Model, a "0" should be used,
-     * and the actual ID of the new DeployedModel will be filled in its place by
-     * this method. The traffic percentage values must add up to 100.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. To refer to the ID of the just being deployed
+     * Model, a "0" should be used, and the actual ID of the new DeployedModel
+     * will be filled in its place by this method. The traffic percentage values
+     * must add up to 100.
      * If this field is empty, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+     * not updated.
      * 

      *
      * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequestOrBuilder.java
index 2e8fd8909523..aa0842af7ba9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequestOrBuilder.java
@@ -61,8 +61,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -78,8 +79,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -95,8 +97,9 @@ public interface DeployModelRequestOrBuilder
    *
    * 
    * Required. The DeployedModel to be created within the Endpoint. Note that
-   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-   * receiving traffic, either as part of this call, or via
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * must be updated for the DeployedModel to start receiving traffic, either as
+   * part of this call, or via
    * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
@@ -113,12 +116,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -131,12 +136,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -152,12 +159,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -170,12 +179,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -188,12 +199,14 @@ public interface DeployModelRequestOrBuilder
    * A map from a DeployedModel's ID to the percentage of this Endpoint's
    * traffic that should be forwarded to that DeployedModel.
    * If this field is non-empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-   * To refer to the ID of the just being deployed Model, a "0" should be used,
-   * and the actual ID of the new DeployedModel will be filled in its place by
-   * this method. The traffic percentage values must add up to 100.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. To refer to the ID of the just being deployed
+   * Model, a "0" should be used, and the actual ID of the new DeployedModel
+   * will be filled in its place by this method. The traffic percentage values
+   * must add up to 100.
    * If this field is empty, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+   * not updated.
    * 

    *
    * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponse.java
index 910cf83e4997..b59f09e3f9e3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+ * Response message for
+ * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelResponse}
@@ -282,7 +283,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+   * Response message for
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.DeployModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndex.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndex.java
index 6bb9a404d941..15ad266458a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndex.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndex.java
@@ -287,9 +287,11 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -306,9 +308,11 @@ public boolean hasPrivateEndpoints() {
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -327,9 +331,11 @@ public com.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints getPrivateEndpo
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -348,13 +354,14 @@ public com.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints getPrivateEndpo
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -378,13 +385,14 @@ public boolean hasIndexSyncTime() {
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -410,13 +418,14 @@ public com.google.protobuf.Timestamp getIndexSyncTime() {
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -441,8 +450,8 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -464,8 +473,8 @@ public boolean hasAutomaticResources() {
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -489,8 +498,8 @@ public com.google.cloud.aiplatform.v1beta1.AutomaticResources getAutomaticResour
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -514,15 +523,19 @@ public com.google.cloud.aiplatform.v1beta1.AutomaticResources getAutomaticResour
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -539,15 +552,19 @@ public boolean hasDedicatedResources() {
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -566,15 +583,19 @@ public com.google.cloud.aiplatform.v1beta1.DedicatedResources getDedicatedResour
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -593,7 +614,8 @@ public com.google.cloud.aiplatform.v1beta1.DedicatedResources getDedicatedResour
    *
    *
    * 
-   * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+   * Optional. If true, private endpoint's access logs are sent to StackDriver
+   * Logging.
    * These logs are like standard server access logs, containing
    * information like timestamp and latency for each MatchRequest.
    * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -2054,9 +2076,11 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2072,9 +2096,11 @@ public boolean hasPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2096,9 +2122,11 @@ public com.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints getPrivateEndpo
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2123,9 +2151,11 @@ public Builder setPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2147,9 +2177,11 @@ public Builder setPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2179,9 +2211,11 @@ public Builder mergePrivateEndpoints(
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2203,9 +2237,11 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2222,9 +2258,11 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2245,9 +2283,11 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provides paths for users to send requests directly to the deployed index
-     * services running on Cloud via private services access. This field is
-     * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+     * Output only. Provides paths for users to send requests directly to the
+     * deployed index services running on Cloud via private services access. This
+     * field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+     * configured.
      * 

      *
      * 
@@ -2281,13 +2321,14 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2310,13 +2351,14 @@ public boolean hasIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2345,13 +2387,14 @@ public com.google.protobuf.Timestamp getIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2382,13 +2425,14 @@ public Builder setIndexSyncTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2416,13 +2460,14 @@ public Builder setIndexSyncTime(com.google.protobuf.Timestamp.Builder builderFor
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2457,13 +2502,14 @@ public Builder mergeIndexSyncTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2492,13 +2538,14 @@ public Builder clearIndexSyncTime() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2521,13 +2568,14 @@ public com.google.protobuf.Timestamp.Builder getIndexSyncTimeBuilder() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2554,13 +2602,14 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The DeployedIndex may depend on various data on its original Index.
-     * Additionally when certain changes to the original Index are being done
-     * (e.g. when what the Index contains is being changed) the DeployedIndex may
-     * be asynchronously updated in the background to reflect this changes.
-     * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-     * original Index, it means that this DeployedIndex and the original Index are
-     * in sync. If this timestamp is older, then to see which updates this
+     * Output only. The DeployedIndex may depend on various data on its original
+     * Index. Additionally when certain changes to the original Index are being
+     * done (e.g. when what the Index contains is being changed) the DeployedIndex
+     * may be asynchronously updated in the background to reflect this changes. If
+     * this timestamp's value is at least the
+     * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+     * the original Index, it means that this DeployedIndex and the original Index
+     * are in sync. If this timestamp is older, then to see which updates this
      * DeployedIndex already contains (and which not), one must
      * [list][Operations.ListOperations] [Operations][Operation]
      * [working][Operation.name] on the original Index. Only
@@ -2601,8 +2650,8 @@ public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2623,8 +2672,8 @@ public boolean hasAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2651,8 +2700,8 @@ public com.google.cloud.aiplatform.v1beta1.AutomaticResources getAutomaticResour
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2682,8 +2731,8 @@ public Builder setAutomaticResources(
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2710,8 +2759,8 @@ public Builder setAutomaticResources(
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2745,8 +2794,8 @@ public Builder mergeAutomaticResources(
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2773,8 +2822,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2796,8 +2845,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2823,8 +2872,8 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that the DeployedIndex uses, which to large
-     * degree are decided by Vertex AI, and optionally allows only a modest
+     * Optional. A description of resources that the DeployedIndex uses, which to
+     * large degree are decided by Vertex AI, and optionally allows only a modest
      * additional configuration.
      * If min_replica_count is not set, the default value is 2 (we don't provide
      * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -2863,15 +2912,19 @@ public Builder clearAutomaticResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2887,15 +2940,19 @@ public boolean hasDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2917,15 +2974,19 @@ public com.google.cloud.aiplatform.v1beta1.DedicatedResources getDedicatedResour
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2950,15 +3011,19 @@ public Builder setDedicatedResources(
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -2980,15 +3045,19 @@ public Builder setDedicatedResources(
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3017,15 +3086,19 @@ public Builder mergeDedicatedResources(
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3047,15 +3120,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3072,15 +3149,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3101,15 +3182,19 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. A description of resources that are dedicated to the DeployedIndex, and
-     * that need a higher degree of manual configuration.
-     * If min_replica_count is not set, the default value is 2 (we don't provide
-     * SLA when min_replica_count=1). If max_replica_count is not set, the
-     * default value is min_replica_count. The max allowed replica count is
-     * 1000.
-     * Available machine types:
-     * n1-standard-16
-     * n1-standard-32
+     * Optional. A description of resources that are dedicated to the
+     * DeployedIndex, and that need a higher degree of manual configuration. If
+     * min_replica_count is not set, the default value is 2 (we don't provide SLA
+     * when min_replica_count=1). If max_replica_count is not set, the default
+     * value is min_replica_count. The max allowed replica count is 1000.
+     * Available machine types for SMALL shard:
+     * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+     * Available machine types for MEDIUM shard:
+     * e2-standard-16 and all machine types available for LARGE shard.
+     * Available machine types for LARGE shard:
+     * e2-standard-32, e2-highmem-16, n2d-standard-32.
+     * n1-standard-16 and n1-standard-32 are still available, but we recommend
+     * e2-standard-16 and e2-standard-32 for cost efficiency.
      * 

      *
      * 
@@ -3138,7 +3223,8 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -3158,7 +3244,8 @@ public boolean getEnableAccessLogging() {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
@@ -3181,7 +3268,8 @@ public Builder setEnableAccessLogging(boolean value) {
      *
      *
      * 
-     * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+     * Optional. If true, private endpoint's access logs are sent to StackDriver
+     * Logging.
      * These logs are like standard server access logs, containing
      * information like timestamp and latency for each MatchRequest.
      * Note that Stackdriver logs may incur a cost, especially if the deployed
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexOrBuilder.java
index b269aaa1f624..293c0cd0b7e5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexOrBuilder.java
@@ -154,9 +154,11 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -170,9 +172,11 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -186,9 +190,11 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. Provides paths for users to send requests directly to the deployed index
-   * services running on Cloud via private services access. This field is
-   * populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
+   * Output only. Provides paths for users to send requests directly to the
+   * deployed index services running on Cloud via private services access. This
+   * field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+   * configured.
    * 

    *
    * 
@@ -201,13 +207,14 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -228,13 +235,14 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -255,13 +263,14 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Output only. The DeployedIndex may depend on various data on its original Index.
-   * Additionally when certain changes to the original Index are being done
-   * (e.g. when what the Index contains is being changed) the DeployedIndex may
-   * be asynchronously updated in the background to reflect this changes.
-   * If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-   * original Index, it means that this DeployedIndex and the original Index are
-   * in sync. If this timestamp is older, then to see which updates this
+   * Output only. The DeployedIndex may depend on various data on its original
+   * Index. Additionally when certain changes to the original Index are being
+   * done (e.g. when what the Index contains is being changed) the DeployedIndex
+   * may be asynchronously updated in the background to reflect this changes. If
+   * this timestamp's value is at least the
+   * [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+   * the original Index, it means that this DeployedIndex and the original Index
+   * are in sync. If this timestamp is older, then to see which updates this
    * DeployedIndex already contains (and which not), one must
    * [list][Operations.ListOperations] [Operations][Operation]
    * [working][Operation.name] on the original Index. Only
@@ -281,8 +290,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -301,8 +310,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -321,8 +330,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that the DeployedIndex uses, which to large
-   * degree are decided by Vertex AI, and optionally allows only a modest
+   * Optional. A description of resources that the DeployedIndex uses, which to
+   * large degree are decided by Vertex AI, and optionally allows only a modest
    * additional configuration.
    * If min_replica_count is not set, the default value is 2 (we don't provide
    * SLA when min_replica_count=1). If max_replica_count is not set, the
@@ -340,15 +349,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -362,15 +375,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -384,15 +401,19 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. A description of resources that are dedicated to the DeployedIndex, and
-   * that need a higher degree of manual configuration.
-   * If min_replica_count is not set, the default value is 2 (we don't provide
-   * SLA when min_replica_count=1). If max_replica_count is not set, the
-   * default value is min_replica_count. The max allowed replica count is
-   * 1000.
-   * Available machine types:
-   * n1-standard-16
-   * n1-standard-32
+   * Optional. A description of resources that are dedicated to the
+   * DeployedIndex, and that need a higher degree of manual configuration. If
+   * min_replica_count is not set, the default value is 2 (we don't provide SLA
+   * when min_replica_count=1). If max_replica_count is not set, the default
+   * value is min_replica_count. The max allowed replica count is 1000.
+   * Available machine types for SMALL shard:
+   * e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+   * Available machine types for MEDIUM shard:
+   * e2-standard-16 and all machine types available for LARGE shard.
+   * Available machine types for LARGE shard:
+   * e2-standard-32, e2-highmem-16, n2d-standard-32.
+   * n1-standard-16 and n1-standard-32 are still available, but we recommend
+   * e2-standard-16 and e2-standard-32 for cost efficiency.
    * 

    *
    * 
@@ -405,7 +426,8 @@ public interface DeployedIndexOrBuilder
    *
    *
    * 
-   * Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+   * Optional. If true, private endpoint's access logs are sent to StackDriver
+   * Logging.
    * These logs are like standard server access logs, containing
    * information like timestamp and latency for each MatchRequest.
    * Note that Stackdriver logs may incur a cost, especially if the deployed
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
index de911dae7ca0..b91bcb6ede19 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
@@ -313,8 +313,8 @@ public com.google.protobuf.ByteString getSharedResourcesBytes() {
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -338,8 +338,8 @@ public java.lang.String getId() {
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -366,8 +366,9 @@ public com.google.protobuf.ByteString getIdBytes() {
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -394,8 +395,9 @@ public java.lang.String getModel() {
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -575,13 +577,21 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -597,13 +607,21 @@ public boolean hasExplanationSpec() {
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -621,13 +639,21 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -745,9 +771,10 @@ public boolean getEnableAccessLogging() {
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -764,9 +791,10 @@ public boolean hasPrivateEndpoints() {
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -785,9 +813,10 @@ public com.google.cloud.aiplatform.v1beta1.PrivateEndpoints getPrivateEndpoints(
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -2102,8 +2131,8 @@ public Builder setSharedResourcesBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -2126,8 +2155,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -2150,8 +2179,8 @@ public com.google.protobuf.ByteString getIdBytes() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -2173,8 +2202,8 @@ public Builder setId(java.lang.String value) {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -2192,8 +2221,8 @@ public Builder clearId() {
      *
      *
      * 
-     * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-     * will generate a value for this ID.
+     * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+     * Vertex AI will generate a value for this ID.
      * This value should be 1-10 characters, and valid characters are /[0-9]/.
      * 

      *
@@ -2218,8 +2247,9 @@ public Builder setIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2245,8 +2275,9 @@ public java.lang.String getModel() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2272,8 +2303,9 @@ public com.google.protobuf.ByteString getModelBytes() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2298,8 +2330,9 @@ public Builder setModel(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2320,8 +2353,9 @@ public Builder clearModel() {
      *
      *
      * 
-     * Required. The resource name of the Model that this is the deployment of. Note that
-     * the Model may be in a different location than the DeployedModel's Endpoint.
+     * Required. The resource name of the Model that this is the deployment of.
+     * Note that the Model may be in a different location than the DeployedModel's
+     * Endpoint.
      * The resource name may contain version id or version alias to specify the
      * version, if no version is specified, the default version will be deployed.
      * 

@@ -2773,13 +2807,21 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2794,13 +2836,21 @@ public boolean hasExplanationSpec() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2821,13 +2871,21 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2850,13 +2908,21 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2877,13 +2943,21 @@ public Builder setExplanationSpec(
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2910,13 +2984,21 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2937,13 +3019,21 @@ public Builder clearExplanationSpec() {
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2958,13 +3048,21 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -2984,13 +3082,21 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      * 
      * Explanation configuration for this DeployedModel.
-     * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-     * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+     * When deploying a Model using
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+     * this value overrides the value of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+     * All fields of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is inherited. If the corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+     * is not populated, all fields of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * will be used for the explanation configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -3275,9 +3381,10 @@ public Builder clearEnableAccessLogging() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3293,9 +3400,10 @@ public boolean hasPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3317,9 +3425,10 @@ public com.google.cloud.aiplatform.v1beta1.PrivateEndpoints getPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3343,9 +3452,10 @@ public Builder setPrivateEndpoints(com.google.cloud.aiplatform.v1beta1.PrivateEn
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3367,9 +3477,10 @@ public Builder setPrivateEndpoints(
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3398,9 +3509,10 @@ public Builder mergePrivateEndpoints(
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3422,9 +3534,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3441,9 +3554,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
@@ -3464,9 +3578,10 @@ public Builder clearPrivateEndpoints() {
      *
      *
      * 
-     * Output only. Provide paths for users to send predict/explain/health requests directly to
-     * the deployed model services running on Cloud via private services access.
-     * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+     * Output only. Provide paths for users to send predict/explain/health
+     * requests directly to the deployed model services running on Cloud via
+     * private services access. This field is populated if
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
index e87d95f28d03..f54385ce79a5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
@@ -146,8 +146,8 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -160,8 +160,8 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-   * will generate a value for this ID.
+   * Immutable. The ID of the DeployedModel. If not provided upon deployment,
+   * Vertex AI will generate a value for this ID.
    * This value should be 1-10 characters, and valid characters are /[0-9]/.
    * 

    *
@@ -175,8 +175,9 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -192,8 +193,9 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Model that this is the deployment of. Note that
-   * the Model may be in a different location than the DeployedModel's Endpoint.
+   * Required. The resource name of the Model that this is the deployment of.
+   * Note that the Model may be in a different location than the DeployedModel's
+   * Endpoint.
    * The resource name may contain version id or version alias to specify the
    * version, if no version is specified, the default version will be deployed.
    * 

@@ -301,13 +303,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -320,13 +330,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -339,13 +357,21 @@ public interface DeployedModelOrBuilder
    *
    * 
    * Explanation configuration for this DeployedModel.
-   * When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-   * overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+   * When deploying a Model using
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+   * this value overrides the value of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+   * All fields of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is inherited. If the corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+   * is not populated, all fields of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * will be used for the explanation configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;
@@ -423,9 +449,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -439,9 +466,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
@@ -455,9 +483,10 @@ public interface DeployedModelOrBuilder
    *
    *
    * 
-   * Output only. Provide paths for users to send predict/explain/health requests directly to
-   * the deployed model services running on Cloud via private services access.
-   * This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+   * Output only. Provide paths for users to send predict/explain/health
+   * requests directly to the deployed model services running on Cloud via
+   * private services access. This field is populated if
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePool.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePool.java
index 4e452a736abd..65df6a843d20 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePool.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePool.java
@@ -127,7 +127,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
@@ -144,7 +145,8 @@ public boolean hasDedicatedResources() {
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
@@ -163,7 +165,8 @@ public com.google.cloud.aiplatform.v1beta1.DedicatedResources getDedicatedResour
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
@@ -752,7 +755,8 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -768,7 +772,8 @@ public boolean hasDedicatedResources() {
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -790,7 +795,8 @@ public com.google.cloud.aiplatform.v1beta1.DedicatedResources getDedicatedResour
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -815,7 +821,8 @@ public Builder setDedicatedResources(
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -837,7 +844,8 @@ public Builder setDedicatedResources(
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -866,7 +874,8 @@ public Builder mergeDedicatedResources(
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -888,7 +897,8 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -905,7 +915,8 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
@@ -926,7 +937,8 @@ public Builder clearDedicatedResources() {
      *
      *
      * 
-     * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+     * Required. The underlying DedicatedResources that the DeploymentResourcePool
+     * uses.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePoolOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePoolOrBuilder.java
index b5f728d0e890..1086eebfc6bd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePoolOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeploymentResourcePoolOrBuilder.java
@@ -56,7 +56,8 @@ public interface DeploymentResourcePoolOrBuilder
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
@@ -70,7 +71,8 @@ public interface DeploymentResourcePoolOrBuilder
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
@@ -84,7 +86,8 @@ public interface DeploymentResourcePoolOrBuilder
    *
    *
    * 
-   * Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
+   * Required. The underlying DedicatedResources that the DeploymentResourcePool
+   * uses.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
index 38c7e3da38e8..37dbb1738b4d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
@@ -74,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -101,8 +101,8 @@ public java.lang.String getKmsKeyName() {
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -461,8 +461,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -487,8 +487,8 @@ public java.lang.String getKmsKeyName() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -513,8 +513,8 @@ public com.google.protobuf.ByteString getKmsKeyNameBytes() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -538,8 +538,8 @@ public Builder setKmsKeyName(java.lang.String value) {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
@@ -559,8 +559,8 @@ public Builder clearKmsKeyName() {
      *
      *
      * 
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
+     * Required. The Cloud KMS resource identifier of the customer managed
+     * encryption key used to protect a resource. Has the form:
      * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
      * The key needs to be in the same region as where the compute resource is
      * created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
index b5ce0eb31477..0fb276b2057c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface EncryptionSpecOrBuilder
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
@@ -43,8 +43,8 @@ public interface EncryptionSpecOrBuilder
    *
    *
    * 
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
+   * Required. The Cloud KMS resource identifier of the customer managed
+   * encryption key used to protect a resource. Has the form:
    * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
    * The key needs to be in the same region as where the compute resource is
    * created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
index bb1b3979db18..e25e6d0a3ef7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
@@ -245,8 +245,11 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -262,8 +265,11 @@ public java.util.List getDepl
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -280,8 +286,11 @@ public java.util.List getDepl
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -297,8 +306,11 @@ public int getDeployedModelsCount() {
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -314,8 +326,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel getDeployedModels(int i
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -776,7 +791,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryption
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -810,7 +826,8 @@ public java.lang.String getNetwork() {
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -843,7 +860,8 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    * 
    * Deprecated: If true, expose the Endpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -851,7 +869,7 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    * bool enable_private_service_connect = 17 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=116
+   *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=124
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Override
@@ -866,9 +884,9 @@ public boolean getEnablePrivateServiceConnect() {
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -894,9 +912,9 @@ public java.lang.String getModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -2095,8 +2113,11 @@ private void ensureDeployedModelsIsMutable() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2116,8 +2137,11 @@ private void ensureDeployedModelsIsMutable() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2136,8 +2160,11 @@ public int getDeployedModelsCount() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2156,8 +2183,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel getDeployedModels(int i
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2183,8 +2213,11 @@ public Builder setDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2207,8 +2240,11 @@ public Builder setDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2233,8 +2269,11 @@ public Builder addDeployedModels(com.google.cloud.aiplatform.v1beta1.DeployedMod
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2260,8 +2299,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2284,8 +2326,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2308,8 +2353,11 @@ public Builder addDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2332,8 +2380,11 @@ public Builder addAllDeployedModels(
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2355,8 +2406,11 @@ public Builder clearDeployedModels() {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2378,8 +2432,11 @@ public Builder removeDeployedModels(int index) {
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2395,8 +2452,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder getDeployedMode
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2416,8 +2476,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelOrBuilder getDeployedMod
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2437,8 +2500,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelOrBuilder getDeployedMod
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2454,8 +2520,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder addDeployedMode
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -2473,8 +2542,11 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder addDeployedMode
      *
      * 
      * Output only. The models deployed in this Endpoint.
-     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+     * To add or remove DeployedModels use
+     * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+     * and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+     * respectively.
      * 

      *
      * 
@@ -3612,7 +3684,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3645,7 +3718,8 @@ public java.lang.String getNetwork() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3678,7 +3752,8 @@ public com.google.protobuf.ByteString getNetworkBytes() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3710,7 +3785,8 @@ public Builder setNetwork(java.lang.String value) {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3738,7 +3814,8 @@ public Builder clearNetwork() {
      * to which the Endpoint should be peered.
      * Private services access must already be configured for the network. If left
      * unspecified, the Endpoint is not peered with any network.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -3769,7 +3846,8 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3777,7 +3855,7 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=116
+     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=124
      * @return The enablePrivateServiceConnect.
      */
     @java.lang.Override
@@ -3790,7 +3868,8 @@ public boolean getEnablePrivateServiceConnect() {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3798,7 +3877,7 @@ public boolean getEnablePrivateServiceConnect() {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=116
+     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=124
      * @param value The enablePrivateServiceConnect to set.
      * @return This builder for chaining.
      */
@@ -3814,7 +3893,8 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      *
      * 
      * Deprecated: If true, expose the Endpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -3822,7 +3902,7 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      * bool enable_private_service_connect = 17 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=116
+     *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=124
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3838,9 +3918,9 @@ public Builder clearEnablePrivateServiceConnect() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3865,9 +3945,9 @@ public java.lang.String getModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3892,9 +3972,9 @@ public com.google.protobuf.ByteString getModelDeploymentMonitoringJobBytes() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3918,9 +3998,9 @@ public Builder setModelDeploymentMonitoringJob(java.lang.String value) {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
@@ -3940,9 +4020,9 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-     * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-     * Format:
+     * Output only. Resource name of the Model Monitoring job associated with this
+     * Endpoint if monitoring is enabled by
+     * [CreateModelDeploymentMonitoringJob][]. Format:
      * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
index 3504092c3410..3028625da734 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
@@ -107,8 +107,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -121,8 +124,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -135,8 +141,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -149,8 +158,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -164,8 +176,11 @@ public interface EndpointOrBuilder
    *
    * 
    * Output only. The models deployed in this Endpoint.
-   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
+   * To add or remove DeployedModels use
+   * [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+   * and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+   * respectively.
    * 

    *
    * 
@@ -485,7 +500,8 @@ java.lang.String getLabelsOrDefault(
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -508,7 +524,8 @@ java.lang.String getLabelsOrDefault(
    * to which the Endpoint should be peered.
    * Private services access must already be configured for the network. If left
    * unspecified, the Endpoint is not peered with any network.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
@@ -528,7 +545,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Deprecated: If true, expose the Endpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -536,7 +554,7 @@ java.lang.String getLabelsOrDefault(
    * bool enable_private_service_connect = 17 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=116
+   *     deprecated. See google/cloud/aiplatform/v1beta1/endpoint.proto;l=124
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Deprecated
@@ -546,9 +564,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
@@ -563,9 +581,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Resource name of the Model Monitoring job associated with this Endpoint
-   * if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-   * Format:
+   * Output only. Resource name of the Model Monitoring job associated with this
+   * Endpoint if monitoring is enabled by
+   * [CreateModelDeploymentMonitoringJob][]. Format:
    * `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityType.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityType.java
index 8b5dd5952147..e6e3dc855428 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityType.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityType.java
@@ -319,7 +319,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -349,7 +350,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -370,7 +372,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -395,7 +398,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -426,8 +430,8 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -450,8 +454,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -477,9 +481,10 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -500,9 +505,10 @@ public boolean hasMonitoringConfig() {
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -525,9 +531,10 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig getMonit
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -1793,7 +1800,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1823,7 +1831,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1844,7 +1853,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1870,7 +1880,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1903,7 +1914,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1932,7 +1944,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1960,7 +1973,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your EntityTypes.
+     * Optional. The labels with user-defined metadata to organize your
+     * EntityTypes.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -1983,8 +1997,8 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2006,8 +2020,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2029,8 +2043,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2051,8 +2065,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2069,8 +2083,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform a consistent read-modify-write updates. If not
+     * set, a blind "overwrite" update happens.
      * 

      *
      * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -2099,9 +2113,10 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2121,9 +2136,10 @@ public boolean hasMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2149,9 +2165,10 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig getMonit
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2180,9 +2197,10 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2208,9 +2226,10 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2244,9 +2263,10 @@ public Builder mergeMonitoringConfig(
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2272,9 +2292,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2295,9 +2316,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -2322,9 +2344,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. The default monitoring configuration for all Features with value type
-     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-     * EntityType.
+     * Optional. The default monitoring configuration for all Features with value
+     * type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 under this EntityType.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
      * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityTypeOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityTypeOrBuilder.java
index 83dfde906346..2d6c39e7480a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityTypeOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EntityTypeOrBuilder.java
@@ -165,7 +165,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -183,7 +184,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -204,7 +206,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -222,7 +225,8 @@ public interface EntityTypeOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -245,7 +249,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your EntityTypes.
+   * Optional. The labels with user-defined metadata to organize your
+   * EntityTypes.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -264,8 +269,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -277,8 +282,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform a consistent read-modify-write updates. If not
+   * set, a blind "overwrite" update happens.
    * 

    *
    * string etag = 7 [(.google.api.field_behavior) = OPTIONAL];
@@ -291,9 +296,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -311,9 +317,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
@@ -331,9 +338,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The default monitoring configuration for all Features with value type
-   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-   * EntityType.
+   * Optional. The default monitoring configuration for all Features with value
+   * type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 under this EntityType.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
    * analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Examples.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Examples.java
index 301d654cbd7f..9d9ea0019fb7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Examples.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Examples.java
@@ -119,7 +119,8 @@ public ConfigCase getConfigCase() {
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -135,7 +136,8 @@ public boolean hasNearestNeighborSearchConfig() {
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -154,7 +156,8 @@ public com.google.protobuf.Value getNearestNeighborSearchConfig() {
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -766,7 +769,8 @@ public Builder clearConfig() {
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -782,7 +786,8 @@ public boolean hasNearestNeighborSearchConfig() {
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -808,7 +813,8 @@ public com.google.protobuf.Value getNearestNeighborSearchConfig() {
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -831,7 +837,8 @@ public Builder setNearestNeighborSearchConfig(com.google.protobuf.Value value) {
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -852,7 +859,8 @@ public Builder setNearestNeighborSearchConfig(
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -883,7 +891,8 @@ public Builder mergeNearestNeighborSearchConfig(com.google.protobuf.Value value)
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -909,7 +918,8 @@ public Builder clearNearestNeighborSearchConfig() {
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -922,7 +932,8 @@ public com.google.protobuf.Value.Builder getNearestNeighborSearchConfigBuilder()
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -943,7 +954,8 @@ public com.google.protobuf.ValueOrBuilder getNearestNeighborSearchConfigOrBuilde
      *
      * 
      * The configuration for the generated index, the semantics are the same as
-     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+     * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+     * match NearestNeighborSearchConfig.
      * 

      *
      * .google.protobuf.Value nearest_neighbor_search_config = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExamplesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExamplesOrBuilder.java
index 87d32fef9dc3..a375513af9e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExamplesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExamplesOrBuilder.java
@@ -28,7 +28,8 @@ public interface ExamplesOrBuilder
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -41,7 +42,8 @@ public interface ExamplesOrBuilder
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
@@ -54,7 +56,8 @@ public interface ExamplesOrBuilder
    *
    * 
    * The configuration for the generated index, the semantics are the same as
-   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+   * [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+   * match NearestNeighborSearchConfig.
    * 

    *
    * .google.protobuf.Value nearest_neighbor_search_config = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
index 7d4ce4e22d02..297e7e31d58a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+ * Request message for
+ * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplainRequest}
@@ -138,7 +139,8 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -160,7 +162,8 @@ public java.util.List getInstancesList() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -182,7 +185,8 @@ public java.util.List getInstances
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -204,7 +208,8 @@ public int getInstancesCount() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -226,7 +231,8 @@ public com.google.protobuf.Value getInstances(int index) {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -246,7 +252,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -264,7 +271,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -282,7 +290,8 @@ public com.google.protobuf.Value getParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -301,9 +310,9 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -324,9 +333,9 @@ public boolean hasExplanationSpecOverride() {
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -349,9 +358,9 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanatio
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -374,7 +383,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanatio
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -398,7 +408,8 @@ public java.lang.String getDeployedModelId() {
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -630,7 +641,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * Request message for
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplainRequest}
@@ -1061,7 +1073,8 @@ private void ensureInstancesIsMutable() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1087,7 +1100,8 @@ public java.util.List getInstancesList() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1113,7 +1127,8 @@ public int getInstancesCount() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1139,7 +1154,8 @@ public com.google.protobuf.Value getInstances(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1171,7 +1187,8 @@ public Builder setInstances(int index, com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1200,7 +1217,8 @@ public Builder setInstances(int index, com.google.protobuf.Value.Builder builder
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1232,7 +1250,8 @@ public Builder addInstances(com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1264,7 +1283,8 @@ public Builder addInstances(int index, com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1293,7 +1313,8 @@ public Builder addInstances(com.google.protobuf.Value.Builder builderForValue) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1322,7 +1343,8 @@ public Builder addInstances(int index, com.google.protobuf.Value.Builder builder
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1351,7 +1373,8 @@ public Builder addAllInstances(java.lang.Iterable
@@ -1380,7 +1403,8 @@ public Builder clearInstances() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1409,7 +1433,8 @@ public Builder removeInstances(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1431,7 +1456,8 @@ public com.google.protobuf.Value.Builder getInstancesBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1457,7 +1483,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1484,7 +1511,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1506,7 +1534,8 @@ public com.google.protobuf.Value.Builder addInstancesBuilder() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1529,7 +1558,8 @@ public com.google.protobuf.Value.Builder addInstancesBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1570,7 +1600,8 @@ public java.util.List getInstancesBuilderList
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1587,7 +1618,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1608,7 +1640,8 @@ public com.google.protobuf.Value getParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1633,7 +1666,8 @@ public Builder setParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1655,7 +1689,8 @@ public Builder setParameters(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1682,7 +1717,8 @@ public Builder mergeParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1705,7 +1741,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1722,7 +1759,8 @@ public com.google.protobuf.Value.Builder getParametersBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1741,7 +1779,8 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1776,9 +1815,9 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1798,9 +1837,9 @@ public boolean hasExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1827,9 +1866,9 @@ public boolean hasExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1858,9 +1897,9 @@ public Builder setExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1886,9 +1925,9 @@ public Builder setExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1922,9 +1961,9 @@ public Builder mergeExplanationSpecOverride(
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1950,9 +1989,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -1973,9 +2012,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -2000,9 +2039,9 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of the DeployedModel. Can be used for explaining prediction results with
+     * different configurations, such as:
      *  - Explaining top-5 predictions results as opposed to top-1;
      *  - Increasing path count or step count of the attribution methods to reduce
      *    approximate errors;
@@ -2035,7 +2074,8 @@ public Builder clearExplanationSpecOverride() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2058,7 +2098,8 @@ public java.lang.String getDeployedModelId() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2081,7 +2122,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2103,7 +2145,8 @@ public Builder setDeployedModelId(java.lang.String value) {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
@@ -2121,7 +2164,8 @@ public Builder clearDeployedModelId() {
      *
      * 
      * If specified, this ExplainRequest will be served by the chosen
-     * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+     * DeployedModel, overriding
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
      * 

      *
      * string deployed_model_id = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
index 05f8740aff02..33b1dabec018 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
@@ -66,7 +66,8 @@ public interface ExplainRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -85,7 +86,8 @@ public interface ExplainRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -104,7 +106,8 @@ public interface ExplainRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -123,7 +126,8 @@ public interface ExplainRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -142,7 +146,8 @@ public interface ExplainRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -157,7 +162,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -172,7 +178,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -187,7 +194,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -201,9 +209,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -221,9 +229,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -241,9 +249,9 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of the DeployedModel. Can be used for explaining prediction results with
+   * different configurations, such as:
    *  - Explaining top-5 predictions results as opposed to top-1;
    *  - Increasing path count or step count of the attribution methods to reduce
    *    approximate errors;
@@ -261,7 +269,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
@@ -274,7 +283,8 @@ public interface ExplainRequestOrBuilder
    *
    * 
    * If specified, this ExplainRequest will be served by the chosen
-   * DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+   * DeployedModel, overriding
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
    * 

    *
    * string deployed_model_id = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponse.java
index 873324ed627a..ac314a2ace75 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+ * Response message for
+ * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplainResponse}
@@ -75,9 +76,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -90,9 +93,11 @@ public java.util.List getExplan
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -106,9 +111,11 @@ public java.util.List getExplan
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -121,9 +128,11 @@ public int getExplanationsCount() {
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -136,9 +145,11 @@ public com.google.cloud.aiplatform.v1beta1.Explanation getExplanations(int index
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -205,7 +216,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -219,7 +231,8 @@ public java.util.List getPredictionsList() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -234,7 +247,8 @@ public java.util.List getPredictionsList() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -248,7 +262,8 @@ public int getPredictionsCount() {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -262,7 +277,8 @@ public com.google.protobuf.Value getPredictions(int index) {
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -457,7 +473,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * Response message for
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplainResponse}
@@ -760,9 +777,11 @@ private void ensureExplanationsIsMutable() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -778,9 +797,11 @@ public java.util.List getExplan
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -796,9 +817,11 @@ public int getExplanationsCount() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -814,9 +837,11 @@ public com.google.cloud.aiplatform.v1beta1.Explanation getExplanations(int index
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -839,9 +864,11 @@ public Builder setExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -861,9 +888,11 @@ public Builder setExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -885,9 +914,11 @@ public Builder addExplanations(com.google.cloud.aiplatform.v1beta1.Explanation v
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -910,9 +941,11 @@ public Builder addExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -932,9 +965,11 @@ public Builder addExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -954,9 +989,11 @@ public Builder addExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -976,9 +1013,11 @@ public Builder addAllExplanations(
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -997,9 +1036,11 @@ public Builder clearExplanations() {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1018,9 +1059,11 @@ public Builder removeExplanations(int index) {
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1033,9 +1076,11 @@ public com.google.cloud.aiplatform.v1beta1.Explanation.Builder getExplanationsBu
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1052,9 +1097,11 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationOrBuilder getExplanationsO
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1071,9 +1118,11 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationOrBuilder getExplanationsO
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1086,9 +1135,11 @@ public com.google.cloud.aiplatform.v1beta1.Explanation.Builder addExplanationsBu
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1102,9 +1153,11 @@ public com.google.cloud.aiplatform.v1beta1.Explanation.Builder addExplanationsBu
      *
      *
      * 
-     * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-     * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-     * to be explained.
+     * The explanations of the Model's
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * It has the same number of elements as
+     * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+     * explained.
      * 

      *
      * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -1258,7 +1311,8 @@ private void ensurePredictionsIsMutable() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1275,7 +1329,8 @@ public java.util.List getPredictionsList() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1292,7 +1347,8 @@ public int getPredictionsCount() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1309,7 +1365,8 @@ public com.google.protobuf.Value getPredictions(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1332,7 +1389,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1352,7 +1410,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value.Builder build
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1375,7 +1434,8 @@ public Builder addPredictions(com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1398,7 +1458,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value value) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1418,7 +1479,8 @@ public Builder addPredictions(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1438,7 +1500,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value.Builder build
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1459,7 +1522,8 @@ public Builder addAllPredictions(
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1479,7 +1543,8 @@ public Builder clearPredictions() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1499,7 +1564,8 @@ public Builder removePredictions(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1512,7 +1578,8 @@ public com.google.protobuf.Value.Builder getPredictionsBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1529,7 +1596,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1547,7 +1615,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1561,7 +1630,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder() {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
@@ -1575,7 +1645,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder(int index) {
      *
      * 
      * The predictions that are the output of the predictions call.
-     * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+     * Same as
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
      * 

      *
      * repeated .google.protobuf.Value predictions = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponseOrBuilder.java
index c0780b813308..f756cc27c9db 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainResponseOrBuilder.java
@@ -27,9 +27,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -39,9 +41,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -51,9 +55,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -63,9 +69,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -76,9 +84,11 @@ public interface ExplainResponseOrBuilder
    *
    *
    * 
-   * The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
-   * It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-   * to be explained.
+   * The explanations of the Model's
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * It has the same number of elements as
+   * [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+   * explained.
    * 

    *
    * repeated .google.cloud.aiplatform.v1beta1.Explanation explanations = 1;
@@ -115,7 +125,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -126,7 +137,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -137,7 +149,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -148,7 +161,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
@@ -159,7 +173,8 @@ public interface ExplainResponseOrBuilder
    *
    * 
    * The predictions that are the output of the predictions call.
-   * Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+   * Same as
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
    * 

    *
    * repeated .google.protobuf.Value predictions = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java
index df2a14abb11b..147c43b97f83 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java
@@ -22,8 +22,10 @@
  *
  *
  * 
- * Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
- * produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
+ * Explanation of a prediction (provided in
+ * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
+ * produced by the Model on a given
+ * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.Explanation}
@@ -80,13 +82,18 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -106,13 +113,18 @@ public java.util.List getAttrib
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -133,13 +145,18 @@ public java.util.List getAttrib
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -159,13 +176,18 @@ public int getAttributionsCount() {
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -185,13 +207,18 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getAttributions(int index
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -469,8 +496,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
-   * produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
+   * Explanation of a prediction (provided in
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
+   * produced by the Model on a given
+   * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.Explanation}
@@ -766,13 +795,18 @@ private void ensureAttributionsIsMutable() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -795,13 +829,18 @@ public java.util.List getAttrib
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -824,13 +863,18 @@ public int getAttributionsCount() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -853,13 +897,18 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getAttributions(int index
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -889,13 +938,18 @@ public Builder setAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -922,13 +976,18 @@ public Builder setAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -957,13 +1016,18 @@ public Builder addAttributions(com.google.cloud.aiplatform.v1beta1.Attribution v
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -993,13 +1057,18 @@ public Builder addAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1026,13 +1095,18 @@ public Builder addAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1059,13 +1133,18 @@ public Builder addAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1092,13 +1171,18 @@ public Builder addAllAttributions(
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1124,13 +1208,18 @@ public Builder clearAttributions() {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1156,13 +1245,18 @@ public Builder removeAttributions(int index) {
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1182,13 +1276,18 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder getAttributionsBu
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1212,13 +1311,18 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getAttributionsO
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1242,13 +1346,18 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getAttributionsO
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1268,13 +1377,18 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addAttributionsBu
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
@@ -1295,13 +1409,18 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addAttributionsBu
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-     * by [instance_output_value][Attributions.instance_output_value] in
-     * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-     * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-     * order as they appear in the output_indices.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * If users set
+     * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+     * the attributions are sorted by
+     * [instance_output_value][Attributions.instance_output_value] in descending
+     * order. If
+     * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+     * is specified, the attributions are stored by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * in the same order as they appear in the output_indices.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
index 99fb9fef2102..77461f5dfc73 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
@@ -93,14 +93,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -116,14 +118,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -139,14 +143,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -162,14 +168,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -185,14 +193,16 @@ public interface InputMetadataOrBuilder
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -399,8 +409,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -413,8 +424,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -427,8 +439,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -442,8 +455,9 @@ public interface InputMetadataOrBuilder
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -459,9 +473,11 @@ public interface InputMetadataOrBuilder
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -477,9 +493,11 @@ public interface InputMetadataOrBuilder
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -607,7 +625,8 @@ public interface InputMetadataOrBuilder
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -623,7 +642,8 @@ public interface InputMetadataOrBuilder
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -637,8 +657,10 @@ public interface InputMetadataOrBuilder
    *
    * 
    * Metadata of the input of a feature.
-   * Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-   * for Models that are using Vertex AI-provided images for Tensorflow.
+   * Fields other than
+   * [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines]
+   * are applicable only for Models that are using Vertex AI-provided images for
+   * Tensorflow.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata}
@@ -728,8 +750,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor represents a bag of features where each index maps to
-       * a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-       * this encoding. For example:
+       * a feature.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [27, 6.0, 150]
        * index_feature_mapping = ["age", "height", "weight"]
@@ -745,8 +768,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * The tensor represents a bag of features where each index maps to a
        * feature. Zero values in the tensor indicates feature being
-       * non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-       * for this encoding. For example:
+       * non-existent.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [2, 0, 5, 0, 1]
        * index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -761,7 +785,8 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is a list of binaries representing whether a feature exists
-       * or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * or not (1 indicates existence).
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
        * must be provided for this encoding. For example:
        * ```
        * input = [1, 0, 1, 0, 1]
@@ -777,8 +802,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is encoded into a 1-dimensional array represented by an
-       * encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-       * for this encoding. For example:
+       * encoded tensor.
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -794,9 +820,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * Select this encoding when the input tensor is encoded into a
        * 2-dimensional array represented by an encoded tensor.
-       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-       * encoding. The first dimension of the encoded tensor's shape is the same
-       * as the input tensor's shape. For example:
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. The first dimension of the encoded
+       * tensor's shape is the same as the input tensor's shape. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -838,8 +864,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor represents a bag of features where each index maps to
-       * a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-       * this encoding. For example:
+       * a feature.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [27, 6.0, 150]
        * index_feature_mapping = ["age", "height", "weight"]
@@ -855,8 +882,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * The tensor represents a bag of features where each index maps to a
        * feature. Zero values in the tensor indicates feature being
-       * non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-       * for this encoding. For example:
+       * non-existent.
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * must be provided for this encoding. For example:
        * ```
        * input = [2, 0, 5, 0, 1]
        * index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -871,7 +899,8 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is a list of binaries representing whether a feature exists
-       * or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+       * or not (1 indicates existence).
+       * [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
        * must be provided for this encoding. For example:
        * ```
        * input = [1, 0, 1, 0, 1]
@@ -887,8 +916,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        *
        * 
        * The tensor is encoded into a 1-dimensional array represented by an
-       * encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-       * for this encoding. For example:
+       * encoded tensor.
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -904,9 +934,9 @@ public enum Encoding implements com.google.protobuf.ProtocolMessageEnum {
        * 
        * Select this encoding when the input tensor is encoded into a
        * 2-dimensional array represented by an encoded tensor.
-       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-       * encoding. The first dimension of the encoded tensor's shape is the same
-       * as the input tensor's shape. For example:
+       * [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+       * must be provided for this encoding. The first dimension of the encoded
+       * tensor's shape is the same as the input tensor's shape. For example:
        * ```
        * input = ["This", "is", "a", "test", "."]
        * encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -1969,7 +1999,8 @@ public interface VisualizationOrBuilder
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -1986,7 +2017,8 @@ public interface VisualizationOrBuilder
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -2038,11 +2070,13 @@ public interface VisualizationOrBuilder
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -2059,11 +2093,13 @@ public interface VisualizationOrBuilder
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -2202,7 +2238,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
        * 

        *
        * Protobuf enum {@code
@@ -3024,7 +3061,8 @@ private OverlayType(int value) {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -3044,7 +3082,8 @@ public int getTypeValue() {
        *
        * 
        * Type of the image visualization. Only applicable to
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
        * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
        * attribution. Defaults to OUTLINES.
        * 

@@ -3127,11 +3166,13 @@ public int getPolarityValue() {
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -3151,11 +3192,13 @@ public int getColorMapValue() {
        * 
        * The color scheme used for the highlighted areas.
        * Defaults to PINK_GREEN for
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
        * which shows positive attributions in green and negative in pink.
        * Defaults to VIRIDIS for
-       * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-       * highlights the most influential regions in yellow and the least
+       * [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+       * which highlights the most influential regions in yellow and the least
        * influential in blue.
        * 

        *
@@ -3788,7 +3831,8 @@ public Builder mergeFrom(
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3808,7 +3852,8 @@ public int getTypeValue() {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3831,7 +3876,8 @@ public Builder setTypeValue(int value) {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3861,7 +3907,8 @@ public Builder setTypeValue(int value) {
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -3889,7 +3936,8 @@ public Builder setType(
          *
          * 
          * Type of the image visualization. Only applicable to
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
          * OUTLINES shows regions of attribution, while PIXELS shows per-pixel
          * attribution. Defaults to OUTLINES.
          * 

@@ -4031,11 +4079,13 @@ public Builder clearPolarity() {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4055,11 +4105,13 @@ public int getColorMapValue() {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4082,11 +4134,13 @@ public Builder setColorMapValue(int value) {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4117,11 +4171,13 @@ public Builder setColorMapValue(int value) {
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4150,11 +4206,13 @@ public Builder setColorMap(
          * 
          * The color scheme used for the highlighted areas.
          * Defaults to PINK_GREEN for
-         * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+         * [Integrated Gradients
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
          * which shows positive attributions in green and negative in pink.
          * Defaults to VIRIDIS for
-         * [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-         * highlights the most influential regions in yellow and the least
+         * [XRAI
+         * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+         * which highlights the most influential regions in yellow and the least
          * influential in blue.
          * 

          *
@@ -4492,14 +4550,16 @@ public com.google.protobuf.Parser getParserForType() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -4518,14 +4578,16 @@ public java.util.List getInputBaselinesList() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -4545,14 +4607,16 @@ public java.util.List getInputBaselinesList() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -4571,14 +4635,16 @@ public int getInputBaselinesCount() {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -4597,14 +4663,16 @@ public com.google.protobuf.Value getInputBaselines(int index) {
      * Baseline inputs for this feature.
      * If no baseline is specified, Vertex AI chooses the baseline for this
      * feature. If multiple baselines are specified, Vertex AI returns the
-     * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * average attributions across them in
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
      * of each baseline must match the shape of the input tensor. If a scalar is
      * provided, we broadcast to the same shape as the input tensor.
      * For custom images, the element of the baselines must be in the same
      * format as the feature's input in the
-     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-     * may be specified via Endpoint's DeployedModels'
+     * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels'
      * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -4943,8 +5011,9 @@ public com.google.protobuf.ByteString getDenseShapeTensorNameBytes() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4959,8 +5028,9 @@ public com.google.protobuf.ProtocolStringList getIndexFeatureMappingList() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4975,8 +5045,9 @@ public int getIndexFeatureMappingCount() {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -4992,8 +5063,9 @@ public java.lang.String getIndexFeatureMapping(int index) {
      *
      * 
      * A list of feature names for each index in the input tensor.
-     * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-     * BAG_OF_FEATURES_SPARSE, INDICATOR.
+     * Required when the input
+     * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+     * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
      * 

      *
      * repeated string index_feature_mapping = 8;
@@ -5013,9 +5085,11 @@ public com.google.protobuf.ByteString getIndexFeatureMappingBytes(int index) {
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -5042,9 +5116,11 @@ public java.lang.String getEncodedTensorName() {
      * 
      * Encoded tensor is a transformation of the input tensor. Must be provided
      * if choosing
-     * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-     * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-     * input tensor is not differentiable.
+     * [Integrated Gradients
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+     * or [XRAI
+     * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+     * and the input tensor is not differentiable.
      * An encoded tensor is generated if the input tensor is encoded by a lookup
      * table.
      * 

@@ -5219,7 +5295,8 @@ public boolean hasVisualization() {
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -5246,7 +5323,8 @@ public java.lang.String getGroupName() {
      * name will be treated as one feature when computing attributions. Features
      * grouped together can have different shapes in value. If provided, there
      * will be one single attribution generated in
-     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+     * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+     * keyed by the group name.
      * 

      *
      * string group_name = 12;
@@ -5562,8 +5640,10 @@ protected Builder newBuilderForType(
      *
      * 
      * Metadata of the input of a feature.
-     * Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-     * for Models that are using Vertex AI-provided images for Tensorflow.
+     * Fields other than
+     * [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines]
+     * are applicable only for Models that are using Vertex AI-provided images for
+     * Tensorflow.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata}
@@ -6020,14 +6100,16 @@ private void ensureInputBaselinesIsMutable() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6049,14 +6131,16 @@ public java.util.List getInputBaselinesList() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6078,14 +6162,16 @@ public int getInputBaselinesCount() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6107,14 +6193,16 @@ public com.google.protobuf.Value getInputBaselines(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6142,14 +6230,16 @@ public Builder setInputBaselines(int index, com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6175,14 +6265,16 @@ public Builder setInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6210,14 +6302,16 @@ public Builder addInputBaselines(com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6245,14 +6339,16 @@ public Builder addInputBaselines(int index, com.google.protobuf.Value value) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6277,14 +6373,16 @@ public Builder addInputBaselines(com.google.protobuf.Value.Builder builderForVal
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6310,14 +6408,16 @@ public Builder addInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6343,14 +6443,16 @@ public Builder addAllInputBaselines(
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6375,14 +6477,16 @@ public Builder clearInputBaselines() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6407,14 +6511,16 @@ public Builder removeInputBaselines(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6432,14 +6538,16 @@ public com.google.protobuf.Value.Builder getInputBaselinesBuilder(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6461,14 +6569,16 @@ public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index)
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6491,14 +6601,16 @@ public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index)
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6517,14 +6629,16 @@ public com.google.protobuf.Value.Builder addInputBaselinesBuilder() {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -6543,14 +6657,16 @@ public com.google.protobuf.Value.Builder addInputBaselinesBuilder(int index) {
        * Baseline inputs for this feature.
        * If no baseline is specified, Vertex AI chooses the baseline for this
        * feature. If multiple baselines are specified, Vertex AI returns the
-       * average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+       * average attributions across them in
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
        * For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
        * of each baseline must match the shape of the input tensor. If a scalar is
        * provided, we broadcast to the same shape as the input tensor.
        * For custom images, the element of the baselines must be in the same
        * format as the feature's input in the
-       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-       * may be specified via Endpoint's DeployedModels'
+       * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+       * The schema of any single instance may be specified via Endpoint's
+       * DeployedModels'
        * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
        * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
        * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -7406,8 +7522,9 @@ private void ensureIndexFeatureMappingIsMutable() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7422,8 +7539,9 @@ public com.google.protobuf.ProtocolStringList getIndexFeatureMappingList() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7438,8 +7556,9 @@ public int getIndexFeatureMappingCount() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7455,8 +7574,9 @@ public java.lang.String getIndexFeatureMapping(int index) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7472,8 +7592,9 @@ public com.google.protobuf.ByteString getIndexFeatureMappingBytes(int index) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7496,8 +7617,9 @@ public Builder setIndexFeatureMapping(int index, java.lang.String value) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7519,8 +7641,9 @@ public Builder addIndexFeatureMapping(java.lang.String value) {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7539,8 +7662,9 @@ public Builder addAllIndexFeatureMapping(java.lang.Iterable va
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7558,8 +7682,9 @@ public Builder clearIndexFeatureMapping() {
        *
        * 
        * A list of feature names for each index in the input tensor.
-       * Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-       * BAG_OF_FEATURES_SPARSE, INDICATOR.
+       * Required when the input
+       * [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+       * is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
        * 

        *
        * repeated string index_feature_mapping = 8;
@@ -7585,9 +7710,11 @@ public Builder addIndexFeatureMappingBytes(com.google.protobuf.ByteString value)
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7613,9 +7740,11 @@ public java.lang.String getEncodedTensorName() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7641,9 +7770,11 @@ public com.google.protobuf.ByteString getEncodedTensorNameBytes() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7668,9 +7799,11 @@ public Builder setEncodedTensorName(java.lang.String value) {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -7691,9 +7824,11 @@ public Builder clearEncodedTensorName() {
        * 
        * Encoded tensor is a transformation of the input tensor. Must be provided
        * if choosing
-       * [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-       * or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-       * input tensor is not differentiable.
+       * [Integrated Gradients
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+       * or [XRAI
+       * attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+       * and the input tensor is not differentiable.
        * An encoded tensor is generated if the input tensor is encoded by a lookup
        * table.
        * 

@@ -8354,7 +8489,8 @@ public Builder clearVisualization() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8380,7 +8516,8 @@ public java.lang.String getGroupName() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8406,7 +8543,8 @@ public com.google.protobuf.ByteString getGroupNameBytes() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8431,7 +8569,8 @@ public Builder setGroupName(java.lang.String value) {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8452,7 +8591,8 @@ public Builder clearGroupName() {
        * name will be treated as one feature when computing attributions. Features
        * grouped together can have different shapes in value. If provided, there
        * will be one single attribution generated in
-       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+       * [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+       * keyed by the group name.
        * 

        *
        * string group_name = 12;
@@ -8556,8 +8696,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8577,8 +8719,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8598,8 +8742,10 @@ public interface OutputMetadataOrBuilder
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8613,8 +8759,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8629,8 +8776,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8645,8 +8793,9 @@ public interface OutputMetadataOrBuilder
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8795,8 +8944,10 @@ public DisplayNameMappingCase getDisplayNameMappingCase() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8819,8 +8970,10 @@ public boolean hasIndexDisplayNameMapping() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8846,8 +8999,10 @@ public com.google.protobuf.Value getIndexDisplayNameMapping() {
      * outputs by their values.
      * The shape of the value must be an n-dimensional array of strings. The
      * number of dimensions must match that of the outputs to be explained.
-     * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-     * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+     * The
+     * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+     * is populated by locating in the mapping with
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
      * 

      *
      * .google.protobuf.Value index_display_name_mapping = 1;
@@ -8868,8 +9023,9 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8886,8 +9042,9 @@ public boolean hasDisplayNameMappingKey() {
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -8917,8 +9074,9 @@ public java.lang.String getDisplayNameMappingKey() {
      * Specify a field name in the prediction to look for the display name.
      * Use this if the prediction contains the display names for the outputs.
      * The display names in the prediction must have the same shape of the
-     * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-     * a specific output.
+     * outputs, so that it can be located by
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * for a specific output.
      * 

      *
      * string display_name_mapping_key = 2;
@@ -9456,8 +9614,10 @@ public Builder clearDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9480,8 +9640,10 @@ public boolean hasIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9514,8 +9676,10 @@ public com.google.protobuf.Value getIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9545,8 +9709,10 @@ public Builder setIndexDisplayNameMapping(com.google.protobuf.Value value) {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9573,8 +9739,10 @@ public Builder setIndexDisplayNameMapping(com.google.protobuf.Value.Builder buil
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9614,8 +9782,10 @@ public Builder mergeIndexDisplayNameMapping(com.google.protobuf.Value value) {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9648,8 +9818,10 @@ public Builder clearIndexDisplayNameMapping() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9669,8 +9841,10 @@ public com.google.protobuf.Value.Builder getIndexDisplayNameMappingBuilder() {
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9698,8 +9872,10 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
        * outputs by their values.
        * The shape of the value must be an n-dimensional array of strings. The
        * number of dimensions must match that of the outputs to be explained.
-       * The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-       * mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+       * The
+       * [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+       * is populated by locating in the mapping with
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        * 

        *
        * .google.protobuf.Value index_display_name_mapping = 1;
@@ -9736,8 +9912,9 @@ public com.google.protobuf.ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9755,8 +9932,9 @@ public boolean hasDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9787,8 +9965,9 @@ public java.lang.String getDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9819,8 +9998,9 @@ public com.google.protobuf.ByteString getDisplayNameMappingKeyBytes() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9844,8 +10024,9 @@ public Builder setDisplayNameMappingKey(java.lang.String value) {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -9867,8 +10048,9 @@ public Builder clearDisplayNameMappingKey() {
        * Specify a field name in the prediction to look for the display name.
        * Use this if the prediction contains the display names for the outputs.
        * The display names in the prediction must have the same shape of the
-       * outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-       * a specific output.
+       * outputs, so that it can be located by
+       * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+       * for a specific output.
        * 

        *
        * string display_name_mapping_key = 2;
@@ -10105,15 +10287,16 @@ public int getInputsCount() {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -10141,15 +10324,16 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -10168,15 +10352,16 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -10201,15 +10386,16 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -10390,7 +10576,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata ge
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -10420,7 +10607,8 @@ public java.lang.String getFeatureAttributionsSchemaUri() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -10991,15 +11179,16 @@ public int getInputsCount() {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11027,15 +11216,16 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11054,15 +11244,16 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11088,15 +11279,16 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11129,15 +11321,16 @@ public Builder clearInputs() {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11164,15 +11357,16 @@ public Builder removeInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11198,15 +11392,16 @@ public Builder putInputs(
      *
      *
      * 
-     * Required. Map from feature names to feature input metadata. Keys are the name of the
-     * features. Values are the specification of the feature.
+     * Required. Map from feature names to feature input metadata. Keys are the
+     * name of the features. Values are the specification of the feature.
      * An empty InputMetadata is valid. It describes a text feature which has the
-     * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-     * of the empty feature is chosen by Vertex AI.
+     * name specified as the key in
+     * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * The baseline of the empty feature is chosen by Vertex AI.
      * For Vertex AI-provided Tensorflow images, the key can be any friendly
      * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-     * this key (if not grouped with another feature).
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * are keyed by this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
      * 

@@ -11469,7 +11664,8 @@ public Builder putAllOutputs(
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11498,7 +11694,8 @@ public java.lang.String getFeatureAttributionsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11527,7 +11724,8 @@ public com.google.protobuf.ByteString getFeatureAttributionsSchemaUriBytes() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11555,7 +11753,8 @@ public Builder setFeatureAttributionsSchemaUri(java.lang.String value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
@@ -11579,7 +11778,8 @@ public Builder clearFeatureAttributionsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the format
-     * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+     * of the [feature
+     * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
index 7c243158c692..b4895bcc524a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
@@ -27,15 +27,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -49,15 +50,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -76,15 +78,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -100,15 +103,16 @@ public interface ExplanationMetadataOrBuilder
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -127,15 +131,16 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata getInputsO
    *
    *
    * 
-   * Required. Map from feature names to feature input metadata. Keys are the name of the
-   * features. Values are the specification of the feature.
+   * Required. Map from feature names to feature input metadata. Keys are the
+   * name of the features. Values are the specification of the feature.
    * An empty InputMetadata is valid. It describes a text feature which has the
-   * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-   * of the empty feature is chosen by Vertex AI.
+   * name specified as the key in
+   * [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+   * The baseline of the empty feature is chosen by Vertex AI.
    * For Vertex AI-provided Tensorflow images, the key can be any friendly
    * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-   * this key (if not grouped with another feature).
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * are keyed by this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
    * 

@@ -251,7 +256,8 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata getOutput
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
@@ -270,7 +276,8 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata getOutput
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the format
-   * of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+   * of the [feature
+   * attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
index 0760d613b93a..2be067967c50 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
@@ -22,8 +22,10 @@
  *
  *
  * 
- * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
- * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * The
+ * [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata]
+ * entries that can be overridden at [online
+ * explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
@@ -157,8 +159,9 @@ public interface InputMetadataOverrideOrBuilder
    *
    *
    * 
-   * The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
-   * overridden.
+   * The [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+   * entries to be overridden.
    * 

    *
    * Protobuf type {@code
@@ -484,8 +487,9 @@ protected Builder newBuilderForType(
      *
      *
      * 
-     * The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
-     * overridden.
+     * The [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * entries to be overridden.
      * 

      *
      * Protobuf type {@code
@@ -1257,11 +1261,12 @@ public int getInputsCount() {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1288,11 +1293,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1310,11 +1316,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1340,11 +1347,12 @@ public boolean containsInputs(java.lang.String key) {
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -1544,8 +1552,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
-   * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+   * The
+   * [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata]
+   * entries that can be overridden at [online
+   * explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
@@ -1781,11 +1791,12 @@ public int getInputsCount() {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1812,11 +1823,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1834,11 +1846,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1864,11 +1877,12 @@ public boolean containsInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1899,11 +1913,12 @@ public Builder clearInputs() {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1929,11 +1944,12 @@ public Builder removeInputs(java.lang.String key) {
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
@@ -1958,11 +1974,12 @@ public Builder putInputs(
      *
      *
      * 
-     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-     * The key is the name of the feature to be overridden. The keys specified
-     * here must exist in the input metadata to be overridden. If a feature is
-     * not specified here, the corresponding feature's input metadata is not
-     * overridden.
+     * Required. Overrides the [input
+     * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+     * the features. The key is the name of the feature to be overridden. The keys
+     * specified here must exist in the input metadata to be overridden. If a
+     * feature is not specified here, the corresponding feature's input metadata
+     * is not overridden.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
index 9615086f08bf..3aeef840f5a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
@@ -27,11 +27,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -43,11 +44,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -65,11 +67,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -84,11 +87,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
@@ -107,11 +111,12 @@ public interface ExplanationMetadataOverrideOrBuilder
    *
    *
    * 
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
+   * Required. Overrides the [input
+   * metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+   * the features. The key is the name of the feature to be overridden. The keys
+   * specified here must exist in the input metadata to be overridden. If a
+   * feature is not specified here, the corresponding feature's input metadata
+   * is not overridden.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java
index f8833d8f878c..ca6cfd2bb5bf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java
@@ -32,13 +32,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -55,13 +60,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -78,13 +88,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -101,13 +116,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
@@ -125,13 +145,18 @@ public interface ExplanationOrBuilder
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-   * by [instance_output_value][Attributions.instance_output_value] in
-   * descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-   * the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-   * order as they appear in the output_indices.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * If users set
+   * [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+   * the attributions are sorted by
+   * [instance_output_value][Attributions.instance_output_value] in descending
+   * order. If
+   * [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+   * is specified, the attributions are stored by
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * in the same order as they appear in the output_indices.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
index e3c1369c97aa..9f2d364bc93c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
@@ -406,12 +406,13 @@ public int getTopK() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -429,12 +430,13 @@ public boolean hasOutputIndices() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -454,12 +456,13 @@ public com.google.protobuf.ListValue getOutputIndices() {
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -2106,12 +2109,13 @@ public Builder clearTopK() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2128,12 +2132,13 @@ public boolean hasOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2156,12 +2161,13 @@ public com.google.protobuf.ListValue getOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2186,12 +2192,13 @@ public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2213,12 +2220,13 @@ public Builder setOutputIndices(com.google.protobuf.ListValue.Builder builderFor
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2247,12 +2255,13 @@ public Builder mergeOutputIndices(com.google.protobuf.ListValue value) {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2275,12 +2284,13 @@ public Builder clearOutputIndices() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2297,12 +2307,13 @@ public com.google.protobuf.ListValue.Builder getOutputIndicesBuilder() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

@@ -2323,12 +2334,13 @@ public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder() {
      *
      * 
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-     * must be an ndarray of integers, with the same shape of the output it's
-     * explaining.
-     * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-     * If neither top_k nor output_indices is populated, returns the argmax
-     * index of the outputs.
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * contained in output_indices. It must be an ndarray of integers, with the
+     * same shape of the output it's explaining.
+     * If not populated, returns attributions for
+     * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+     * indices of outputs. If neither top_k nor output_indices is populated,
+     * returns the argmax index of the outputs.
      * Only applicable to Models that predict multiple outputs (e,g, multi-class
      * Models that predict multiple classes).
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
index a2e5956c47f8..0dca66bc423c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
@@ -238,12 +238,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -258,12 +259,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

@@ -278,12 +280,13 @@ public interface ExplanationParametersOrBuilder
    *
    * 
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-   * must be an ndarray of integers, with the same shape of the output it's
-   * explaining.
-   * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-   * If neither top_k nor output_indices is populated, returns the argmax
-   * index of the outputs.
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * contained in output_indices. It must be an ndarray of integers, with the
+   * same shape of the output it's explaining.
+   * If not populated, returns attributions for
+   * [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+   * indices of outputs. If neither top_k nor output_indices is populated,
+   * returns the argmax index of the outputs.
    * Only applicable to Models that predict multiple outputs (e,g, multi-class
    * Models that predict multiple classes).
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
index 4f1e70a98cdf..586b5392228d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
@@ -22,8 +22,9 @@
  *
  *
  * 
- * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at
- * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec]
+ * entries that can be overridden at [online
+ * explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationSpecOverride}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -90,8 +91,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -109,8 +110,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters()
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -416,8 +417,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at
-   * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+   * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec]
+   * entries that can be overridden at [online
+   * explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationSpecOverride}
@@ -643,8 +645,8 @@ public Builder mergeFrom(
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -659,8 +661,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -681,8 +683,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters()
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -705,8 +707,8 @@ public Builder setParameters(com.google.cloud.aiplatform.v1beta1.ExplanationPara
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -727,8 +729,8 @@ public Builder setParameters(
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -756,8 +758,8 @@ public Builder mergeParameters(
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -778,8 +780,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -795,8 +797,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -816,8 +818,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+     * cannot be changed. If not specified, no parameter is overridden.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
index 363614417de2..cad8606897f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
@@ -28,8 +28,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -42,8 +42,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
@@ -56,8 +56,8 @@ public interface ExplanationSpecOverrideOrBuilder
    *
    * 
    * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+   * cannot be changed. If not specified, no parameter is overridden.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java
index bbe794ea52bb..5e6e8250d525 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+ * Runtime operation information for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata}
@@ -345,7 +346,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+   * Runtime operation information for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataRequest.java
index ee35b8575656..1bfc4a3a40eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+ * Request message for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataRequest}
@@ -356,7 +357,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+   * Request message for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataResponse.java
index cf28b915ce20..90275cb54aef 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+ * Response message for
+ * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataResponse}
@@ -299,7 +300,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+   * Response message for
+   * [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequest.java
index 1d2f2147a22a..60a19f8633eb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+ * Request message for
+ * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest}
@@ -2472,8 +2473,8 @@ public com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -2499,8 +2500,8 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -2951,7 +2952,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+   * Request message for
+   * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest}
@@ -3790,8 +3792,8 @@ public Builder clearFullExport() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3816,8 +3818,8 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3842,8 +3844,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3867,8 +3869,8 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -3888,8 +3890,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType from which to export Feature values.
-     * Format:
+     * Required. The resource name of the EntityType from which to export Feature
+     * values. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequestOrBuilder.java
index 26c244cd9673..0a698eedc888 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesRequestOrBuilder.java
@@ -114,8 +114,8 @@ public interface ExportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -130,8 +130,8 @@ public interface ExportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType from which to export Feature values.
-   * Format:
+   * Required. The resource name of the EntityType from which to export Feature
+   * values. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesResponse.java
index a856808ab153..02196f536f97 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+ * Response message for
+ * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+   * Response message for
+   * [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadata.java
index 602c9d3acef4..58ed75c14fdb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadata.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
+ * Details of
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata}
@@ -74,9 +76,9 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -88,9 +90,9 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -103,8 +105,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -116,8 +118,8 @@ public interface OutputInfoOrBuilder
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -184,9 +186,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -209,9 +211,9 @@ public java.lang.String getArtifactOutputUri() {
      *
      *
      * 
-     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-     * the full path of the directory created, into which the Model files are
-     * being written to.
+     * Output only. If the Model artifact is being exported to Google Cloud
+     * Storage this is the full path of the directory created, into which the
+     * Model files are being written to.
      * 

      *
      * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -237,8 +239,8 @@ public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -261,8 +263,8 @@ public java.lang.String getImageOutputUri() {
      *
      *
      * 
-     * Output only. If the Model image is being exported to Google Container Registry or
-     * Artifact Registry this is the full path of the image created.
+     * Output only. If the Model image is being exported to Google Container
+     * Registry or Artifact Registry this is the full path of the image created.
      * 

      *
      * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -663,9 +665,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -687,9 +689,9 @@ public java.lang.String getArtifactOutputUri() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -711,9 +713,9 @@ public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -734,9 +736,9 @@ public Builder setArtifactOutputUri(java.lang.String value) {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -753,9 +755,9 @@ public Builder clearArtifactOutputUri() {
        *
        *
        * 
-       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
-       * the full path of the directory created, into which the Model files are
-       * being written to.
+       * Output only. If the Model artifact is being exported to Google Cloud
+       * Storage this is the full path of the directory created, into which the
+       * Model files are being written to.
        * 

        *
        * string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -779,8 +781,8 @@ public Builder setArtifactOutputUriBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -802,8 +804,8 @@ public java.lang.String getImageOutputUri() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -825,8 +827,8 @@ public com.google.protobuf.ByteString getImageOutputUriBytes() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -847,8 +849,8 @@ public Builder setImageOutputUri(java.lang.String value) {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -865,8 +867,8 @@ public Builder clearImageOutputUri() {
        *
        *
        * 
-       * Output only. If the Model image is being exported to Google Container Registry or
-       * Artifact Registry this is the full path of the image created.
+       * Output only. If the Model image is being exported to Google Container
+       * Registry or Artifact Registry this is the full path of the image created.
        * 

        *
        * string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1008,7 +1010,8 @@ public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMe
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1025,7 +1028,8 @@ public boolean hasOutputInfo() {
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1046,7 +1050,8 @@ public boolean hasOutputInfo() {
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -1242,7 +1247,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
+   * Details of
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata}
@@ -1640,7 +1647,8 @@ public Builder clearGenericMetadata() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1656,7 +1664,8 @@ public boolean hasOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1680,7 +1689,8 @@ public boolean hasOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1705,7 +1715,8 @@ public Builder setOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1728,7 +1739,8 @@ public Builder setOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1758,7 +1770,8 @@ public Builder mergeOutputInfo(
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1780,7 +1793,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1797,7 +1811,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
@@ -1819,7 +1834,8 @@ public Builder clearOutputInfo() {
      *
      *
      * 
-     * Output only. Information further describing the output of this Model export.
+     * Output only. Information further describing the output of this Model
+     * export.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadataOrBuilder.java
index 039e7d9500b5..f33a4fd68482 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelOperationMetadataOrBuilder.java
@@ -63,7 +63,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -77,7 +78,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
@@ -91,7 +93,8 @@ public interface ExportModelOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. Information further describing the output of this Model export.
+   * Output only. Information further describing the output of this Model
+   * export.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
index 5f538e6d73de..5c3a5235e887 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
+ * Request message for
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelRequest}
@@ -77,7 +78,8 @@ public interface OutputConfigOrBuilder
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      * If no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

@@ -92,7 +94,8 @@ public interface OutputConfigOrBuilder
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      * If no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

@@ -263,7 +266,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      * If no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

@@ -289,7 +293,8 @@ public java.lang.String getExportFormatId() {
      *
      * 
      * The ID of the format in which the Model must be exported. Each Model
-     * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+     * lists the [export formats it
+     * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
      * If no value is provided here, then the first from the list of the Model's
      * supported formats is used by default.
      * 

@@ -861,7 +866,8 @@ public Builder mergeFrom(
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
        * If no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

@@ -886,7 +892,8 @@ public java.lang.String getExportFormatId() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
        * If no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

@@ -911,7 +918,8 @@ public com.google.protobuf.ByteString getExportFormatIdBytes() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
        * If no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

@@ -935,7 +943,8 @@ public Builder setExportFormatId(java.lang.String value) {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
        * If no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

@@ -955,7 +964,8 @@ public Builder clearExportFormatId() {
        *
        * 
        * The ID of the format in which the Model must be exported. Each Model
-       * lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+       * lists the [export formats it
+       * supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
        * If no value is provided here, then the first from the list of the Model's
        * supported formats is used by default.
        * 

@@ -1817,7 +1827,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
+   * Request message for
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelResponse.java
index a3ec2a373197..d38f6ff77257 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelResponse.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
+ * Response message of
+ * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelResponse}
@@ -220,7 +222,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
+   * Response message of
+   * [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequest.java
index 55fae2e4be2f..c4f1ba1368ce 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+ * Request message for
+ * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest}
@@ -79,8 +80,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -106,8 +107,8 @@ public java.lang.String getTensorboardTimeSeries() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -186,8 +187,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of data points to return per page.
-   * The default page_size will be 1000. Values must be between 1 and 10000.
-   * Values above 10000 will be coerced to 10000.
+   * The default page_size is 1000. Values must be between 1 and 10000.
+   * Values above 10000 are coerced to 10000.
    * 

    *
    * int32 page_size = 3;
@@ -265,7 +266,7 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -290,7 +291,7 @@ public java.lang.String getOrderBy() {
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -518,7 +519,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+   * Request message for
+   * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest}
@@ -751,8 +753,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -777,8 +779,8 @@ public java.lang.String getTensorboardTimeSeries() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -803,8 +805,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -828,8 +830,8 @@ public Builder setTensorboardTimeSeries(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -849,8 +851,8 @@ public Builder clearTensorboardTimeSeries() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardTimeSeries to export data from.
-     * Format:
+     * Required. The resource name of the TensorboardTimeSeries to export data
+     * from. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
      * 

      *
@@ -984,8 +986,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -1001,8 +1003,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -1021,8 +1023,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of data points to return per page.
-     * The default page_size will be 1000. Values must be between 1 and 10000.
-     * Values above 10000 will be coerced to 10000.
+     * The default page_size is 1000. Values must be between 1 and 10000.
+     * Values above 10000 are coerced to 10000.
      * 

      *
      * int32 page_size = 3;
@@ -1173,7 +1175,7 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1197,7 +1199,7 @@ public java.lang.String getOrderBy() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1221,7 +1223,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1244,7 +1246,7 @@ public Builder setOrderBy(java.lang.String value) {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
@@ -1263,7 +1265,7 @@ public Builder clearOrderBy() {
      *
      * 
      * Field to use to sort the TensorboardTimeSeries' data.
-     * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+     * By default, TensorboardTimeSeries' data is returned in a pseudo random
      * order.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
index 1f2ec33fa2b1..287c452a03f7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardTimeSeries to export data from.
-   * Format:
+   * Required. The resource name of the TensorboardTimeSeries to export data
+   * from. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
    * 

    *
@@ -86,8 +86,8 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * The maximum number of data points to return per page.
-   * The default page_size will be 1000. Values must be between 1 and 10000.
-   * Values above 10000 will be coerced to 10000.
+   * The default page_size is 1000. Values must be between 1 and 10000.
+   * Values above 10000 are coerced to 10000.
    * 

    *
    * int32 page_size = 3;
@@ -136,7 +136,7 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
@@ -150,7 +150,7 @@ public interface ExportTensorboardTimeSeriesDataRequestOrBuilder
    *
    * 
    * Field to use to sort the TensorboardTimeSeries' data.
-   * By default, TensorboardTimeSeries' data will be returned in a pseudo random
+   * By default, TensorboardTimeSeries' data is returned in a pseudo random
    * order.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataResponse.java
index c27b0bf8127d..ce7d87638a2b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportTensorboardTimeSeriesDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+ * Response message for
+ * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse}
@@ -390,7 +391,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+   * Response message for
+   * [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Feature.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Feature.java
index fb67daff358c..df7c7d9268f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Feature.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Feature.java
@@ -479,7 +479,9 @@ public interface MonitoringStatsAnomalyOrBuilder
    * A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
    * Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-   * requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.
+   * requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * descending.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly}
@@ -977,7 +979,9 @@ protected Builder newBuilderForType(
      * A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
      * Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-     * requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.
+     * requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * descending.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly}
@@ -1993,11 +1997,11 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -2011,7 +2015,7 @@ public com.google.protobuf.ByteString getEtagBytes() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+   *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
    * @return Whether the monitoringConfig field is set.
    */
   @java.lang.Override
@@ -2023,11 +2027,11 @@ public boolean hasMonitoringConfig() {
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -2041,7 +2045,7 @@ public boolean hasMonitoringConfig() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+   *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
    * @return The monitoringConfig.
    */
   @java.lang.Override
@@ -2055,11 +2059,11 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig getMonit
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -2085,10 +2089,10 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig getMonit
    *
    *
    * 
-   * Optional. If not set, use the monitoring_config defined for the EntityType this
-   * Feature belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. If not set, use the monitoring_config defined for the EntityType
+   * this Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If set to true, all types of data monitoring are disabled despite the
    * config on EntityType.
    * 

@@ -2110,7 +2114,8 @@ public boolean getDisableMonitoring() {
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -2129,7 +2134,8 @@ public boolean getDisableMonitoring() {
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -2148,7 +2154,8 @@ public boolean getDisableMonitoring() {
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -2166,7 +2173,8 @@ public int getMonitoringStatsCount() {
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -2184,7 +2192,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly getMonitoringStat
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -2205,7 +2214,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly getMonitoringStat
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2221,7 +2231,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly getMonitoringStat
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2238,7 +2249,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly getMonitoringStat
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2253,7 +2265,8 @@ public int getMonitoringStatsAnomaliesCount() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -2269,7 +2282,8 @@ public int getMonitoringStatsAnomaliesCount() {
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -4083,11 +4097,11 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4101,7 +4115,7 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-     *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+     *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
      * @return Whether the monitoringConfig field is set.
      */
     @java.lang.Deprecated
@@ -4112,11 +4126,11 @@ public boolean hasMonitoringConfig() {
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4130,7 +4144,7 @@ public boolean hasMonitoringConfig() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-     *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+     *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
      * @return The monitoringConfig.
      */
     @java.lang.Deprecated
@@ -4147,11 +4161,11 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig getMonit
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4183,11 +4197,11 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4216,11 +4230,11 @@ public Builder setMonitoringConfig(
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4257,11 +4271,11 @@ public Builder mergeMonitoringConfig(
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4290,11 +4304,11 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4318,11 +4332,11 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4350,11 +4364,11 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-     * set, use the monitoring_config defined for the EntityType this Feature
-     * belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. Deprecated: The custom monitoring configuration for this Feature,
+     * if not set, use the monitoring_config defined for the EntityType this
+     * Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If this is populated with
      * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
      * monitoring is disabled; if
@@ -4389,10 +4403,10 @@ public Builder clearMonitoringConfig() {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -4409,10 +4423,10 @@ public boolean getDisableMonitoring() {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -4432,10 +4446,10 @@ public Builder setDisableMonitoring(boolean value) {
      *
      *
      * 
-     * Optional. If not set, use the monitoring_config defined for the EntityType this
-     * Feature belongs to.
-     * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-     * INT64 can enable monitoring.
+     * Optional. If not set, use the monitoring_config defined for the EntityType
+     * this Feature belongs to. Only Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
      * If set to true, all types of data monitoring are disabled despite the
      * config on EntityType.
      * 

@@ -4475,7 +4489,8 @@ private void ensureMonitoringStatsIsMutable() {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4497,7 +4512,8 @@ private void ensureMonitoringStatsIsMutable() {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4518,7 +4534,8 @@ public int getMonitoringStatsCount() {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4539,7 +4556,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly getMonitoringStat
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4567,7 +4585,8 @@ public Builder setMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4593,7 +4612,8 @@ public Builder setMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4621,7 +4641,8 @@ public Builder addMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4649,7 +4670,8 @@ public Builder addMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4674,7 +4696,8 @@ public Builder addMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4700,7 +4723,8 @@ public Builder addMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4726,7 +4750,8 @@ public Builder addAllMonitoringStats(
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4750,7 +4775,8 @@ public Builder clearMonitoringStats() {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4774,7 +4800,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4792,7 +4819,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4814,7 +4842,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4837,7 +4866,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4856,7 +4886,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4876,7 +4907,8 @@ public Builder removeMonitoringStats(int index) {
      * 
      * Output only. A list of historical [Snapshot
      * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-     * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+     * stats requested by user, sorted by
+     * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
      * descending.
      * 

      *
@@ -4932,7 +4964,8 @@ private void ensureMonitoringStatsAnomaliesIsMutable() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4951,7 +4984,8 @@ private void ensureMonitoringStatsAnomaliesIsMutable() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4969,7 +5003,8 @@ public int getMonitoringStatsAnomaliesCount() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -4988,7 +5023,8 @@ public int getMonitoringStatsAnomaliesCount() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5013,7 +5049,8 @@ public Builder setMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5037,7 +5074,8 @@ public Builder setMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5062,7 +5100,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5087,7 +5126,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5110,7 +5150,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5134,7 +5175,8 @@ public Builder addMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5158,7 +5200,8 @@ public Builder addAllMonitoringStatsAnomalies(
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5179,7 +5222,8 @@ public Builder clearMonitoringStatsAnomalies() {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5200,7 +5244,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5215,7 +5260,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5234,7 +5280,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5254,7 +5301,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5272,7 +5320,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
@@ -5291,7 +5340,8 @@ public Builder removeMonitoringStatsAnomalies(int index) {
      *
      *
      * 
-     * Output only. The list of historical stats and anomalies with specified objectives.
+     * Output only. The list of historical stats and anomalies with specified
+     * objectives.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureNoiseSigma.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureNoiseSigma.java
index 588ac6eaf7d8..43a1a34f19df 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureNoiseSigma.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureNoiseSigma.java
@@ -80,7 +80,8 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -94,7 +95,8 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -109,8 +111,9 @@ public interface NoiseSigmaForFeatureOrBuilder
      * 
      * This represents the standard deviation of the Gaussian kernel that will
      * be used to add noise to the feature prior to computing gradients. Similar
-     * to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-     * noise added to the current feature. Defaults to 0.1.
+     * to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * but represents the noise added to the current feature. Defaults to 0.1.
      * 

      *
      * float sigma = 2;
@@ -177,7 +180,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -202,7 +206,8 @@ public java.lang.String getName() {
      * 
      * The name of the input feature for which noise sigma is provided. The
      * features are defined in
-     * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+     * [explanation metadata
+     * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
      * 

      *
      * string name = 1;
@@ -230,8 +235,9 @@ public com.google.protobuf.ByteString getNameBytes() {
      * 
      * This represents the standard deviation of the Gaussian kernel that will
      * be used to add noise to the feature prior to computing gradients. Similar
-     * to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-     * noise added to the current feature. Defaults to 0.1.
+     * to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * but represents the noise added to the current feature. Defaults to 0.1.
      * 

      *
      * float sigma = 2;
@@ -624,7 +630,8 @@ public Builder mergeFrom(
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -648,7 +655,8 @@ public java.lang.String getName() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -672,7 +680,8 @@ public com.google.protobuf.ByteString getNameBytes() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -695,7 +704,8 @@ public Builder setName(java.lang.String value) {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -714,7 +724,8 @@ public Builder clearName() {
        * 
        * The name of the input feature for which noise sigma is provided. The
        * features are defined in
-       * [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+       * [explanation metadata
+       * inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
        * 

        *
        * string name = 1;
@@ -740,8 +751,9 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to
+       * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
@@ -758,8 +770,9 @@ public float getSigma() {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to
+       * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
@@ -779,8 +792,9 @@ public Builder setSigma(float value) {
        * 
        * This represents the standard deviation of the Gaussian kernel that will
        * be used to add noise to the feature prior to computing gradients. Similar
-       * to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-       * noise added to the current feature. Defaults to 0.1.
+       * to
+       * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+       * but represents the noise added to the current feature. Defaults to 0.1.
        * 

        *
        * float sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureOrBuilder.java
index 427229ac42ee..11b3d1b8058b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureOrBuilder.java
@@ -320,11 +320,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -338,7 +338,7 @@ java.lang.String getLabelsOrDefault(
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+   *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
    * @return Whether the monitoringConfig field is set.
    */
   @java.lang.Deprecated
@@ -347,11 +347,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -365,7 +365,7 @@ java.lang.String getLabelsOrDefault(
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.Feature.monitoring_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/feature.proto;l=155
+   *     google/cloud/aiplatform/v1beta1/feature.proto;l=160
    * @return The monitoringConfig.
    */
   @java.lang.Deprecated
@@ -374,11 +374,11 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-   * set, use the monitoring_config defined for the EntityType this Feature
-   * belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. Deprecated: The custom monitoring configuration for this Feature,
+   * if not set, use the monitoring_config defined for the EntityType this
+   * Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If this is populated with
    * [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
    * monitoring is disabled; if
@@ -399,10 +399,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. If not set, use the monitoring_config defined for the EntityType this
-   * Feature belongs to.
-   * Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-   * INT64 can enable monitoring.
+   * Optional. If not set, use the monitoring_config defined for the EntityType
+   * this Feature belongs to. Only Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL, STRING, DOUBLE or INT64 can enable monitoring.
    * If set to true, all types of data monitoring are disabled despite the
    * config on EntityType.
    * 

@@ -419,7 +419,8 @@ java.lang.String getLabelsOrDefault(
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -434,7 +435,8 @@ java.lang.String getLabelsOrDefault(
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -449,7 +451,8 @@ java.lang.String getLabelsOrDefault(
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -464,7 +467,8 @@ java.lang.String getLabelsOrDefault(
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -480,7 +484,8 @@ java.lang.String getLabelsOrDefault(
    * 
    * Output only. A list of historical [Snapshot
    * Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-   * stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+   * stats requested by user, sorted by
+   * [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
    * descending.
    * 

    *
@@ -495,7 +500,8 @@ com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomalyOrBuilder getMonitoringSt
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -508,7 +514,8 @@ com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomalyOrBuilder getMonitoringSt
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -521,7 +528,8 @@ com.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly getMonitoring
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -533,7 +541,8 @@ com.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly getMonitoring
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
@@ -547,7 +556,8 @@ com.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly getMonitoring
    *
    *
    * 
-   * Output only. The list of historical stats and anomalies with specified objectives.
+   * Output only. The list of historical stats and anomalies with specified
+   * objectives.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomaly.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomaly.java
index 5049a1a9db7f..38fe36a98a7d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomaly.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomaly.java
@@ -85,7 +85,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Feature importance score, only populated when cross-feature monitoring is
    * enabled. For now only used to represent feature attribution score within
    * range [0, 1] for
-   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+   * and
    * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
    * 

    *
@@ -882,7 +883,8 @@ public Builder mergeFrom(
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
@@ -901,7 +903,8 @@ public double getScore() {
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
@@ -923,7 +926,8 @@ public Builder setScore(double value) {
      * Feature importance score, only populated when cross-feature monitoring is
      * enabled. For now only used to represent feature attribution score within
      * range [0, 1] for
-     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+     * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+     * and
      * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomalyOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomalyOrBuilder.java
index 468fe7e33336..6282838faab3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomalyOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureStatsAnomalyOrBuilder.java
@@ -30,7 +30,8 @@ public interface FeatureStatsAnomalyOrBuilder
    * Feature importance score, only populated when cross-feature monitoring is
    * enabled. For now only used to represent feature attribution score within
    * range [0, 1] for
-   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+   * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+   * and
    * [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestination.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestination.java
index ce5190d2acfa..fd6f63751176 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestination.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestination.java
@@ -121,8 +121,10 @@ public DestinationCase getDestinationCase() {
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -138,8 +140,10 @@ public boolean hasBigqueryDestination() {
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -158,8 +162,10 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -766,8 +772,10 @@ public Builder clearDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -783,8 +791,10 @@ public boolean hasBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -810,8 +820,10 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -835,8 +847,10 @@ public Builder setBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -857,8 +871,10 @@ public Builder setBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -893,8 +909,10 @@ public Builder mergeBigqueryDestination(
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -920,8 +938,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -935,8 +955,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -958,8 +980,10 @@ public Builder clearBigqueryDestination() {
      *
      * 
      * Output in BigQuery format.
-     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+     * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+     * in
+     * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+     * must refer to a table.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestinationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestinationOrBuilder.java
index 6b8f6da82149..d6655f7c4724 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestinationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeatureValueDestinationOrBuilder.java
@@ -28,8 +28,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -42,8 +44,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
@@ -56,8 +60,10 @@ public interface FeatureValueDestinationOrBuilder
    *
    * 
    * Output in BigQuery format.
-   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+   * [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+   * in
+   * [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+   * must refer to a table.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
index a90dded58abd..6d48a6066113 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
@@ -384,8 +384,8 @@ public interface ScalingOrBuilder
        *
        *
        * 
-       * Required. The minimum number of nodes to scale down to. Must be greater than or
-       * equal to 1.
+       * Required. The minimum number of nodes to scale down to. Must be greater
+       * than or equal to 1.
        * 

        *
        * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -465,8 +465,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        *
        *
        * 
-       * Required. The minimum number of nodes to scale down to. Must be greater than or
-       * equal to 1.
+       * Required. The minimum number of nodes to scale down to. Must be greater
+       * than or equal to 1.
        * 

        *
        * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -885,8 +885,8 @@ public Builder mergeFrom(
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -901,8 +901,8 @@ public int getMinNodeCount() {
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -920,8 +920,8 @@ public Builder setMinNodeCount(int value) {
          *
          *
          * 
-         * Required. The minimum number of nodes to scale down to. Must be greater than or
-         * equal to 1.
+         * Required. The minimum number of nodes to scale down to. Must be greater
+         * than or equal to 1.
          * 

          *
          * int32 min_node_count = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -2032,8 +2032,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -2056,8 +2056,8 @@ public java.lang.String getEtag() {
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -2106,7 +2106,8 @@ public int getLabelsCount() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2136,7 +2137,8 @@ public java.util.Map getLabels() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2157,7 +2159,8 @@ public java.util.Map getLabelsMap() {
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2182,7 +2185,8 @@ public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.Strin
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -2213,10 +2217,10 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2233,10 +2237,10 @@ public boolean hasOnlineServingConfig() {
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2256,10 +2260,10 @@ public boolean hasOnlineServingConfig() {
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -2320,13 +2324,12 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore.State getState() {
    *
    *
    * 
-   * Optional. TTL in days for feature values that will be stored in online serving
-   * storage. The Feature Store online storage periodically removes obsolete
-   * feature values older than `online_storage_ttl_days` since the feature
-   * generation time.
-   * Note that `online_storage_ttl_days` should be less than or equal to
-   * `offline_storage_ttl_days` for each EntityType under a featurestore.
-   * If not set, default to 4000 days
+   * Optional. TTL in days for feature values that will be stored in online
+   * serving storage. The Feature Store online storage periodically removes
+   * obsolete feature values older than `online_storage_ttl_days` since the
+   * feature generation time. Note that `online_storage_ttl_days` should be less
+   * than or equal to `offline_storage_ttl_days` for each EntityType under a
+   * featurestore. If not set, default to 4000 days
    * 

    *
    * int32 online_storage_ttl_days = 13 [(.google.api.field_behavior) = OPTIONAL];
@@ -2344,8 +2347,8 @@ public int getOnlineStorageTtlDays() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -2362,8 +2365,8 @@ public boolean hasEncryptionSpec() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -2382,8 +2385,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -3503,8 +3506,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3526,8 +3529,8 @@ public java.lang.String getEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3549,8 +3552,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3571,8 +3574,8 @@ public Builder setEtag(java.lang.String value) {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3589,8 +3592,8 @@ public Builder clearEtag() {
      *
      *
      * 
-     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-     * "overwrite" update happens.
+     * Optional. Used to perform consistent read-modify-write updates. If not set,
+     * a blind "overwrite" update happens.
      * 

      *
      * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -3638,7 +3641,8 @@ public int getLabelsCount() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3668,7 +3672,8 @@ public java.util.Map getLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3689,7 +3694,8 @@ public java.util.Map getLabelsMap() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3715,7 +3721,8 @@ public java.lang.String getLabelsOrDefault(
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3748,7 +3755,8 @@ public Builder clearLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3777,7 +3785,8 @@ public java.util.Map getMutableLabels() {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3805,7 +3814,8 @@ public Builder putLabels(java.lang.String key, java.lang.String value) {
      *
      *
      * 
-     * Optional. The labels with user-defined metadata to organize your Featurestore.
+     * Optional. The labels with user-defined metadata to organize your
+     * Featurestore.
      * Label keys and values can be no longer than 64 characters
      * (Unicode codepoints), can only contain lowercase letters, numeric
      * characters, underscores and dashes. International characters are allowed.
@@ -3834,10 +3844,10 @@ public Builder putAllLabels(java.util.Map va
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3853,10 +3863,10 @@ public boolean hasOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3880,10 +3890,10 @@ public boolean hasOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3908,10 +3918,10 @@ public Builder setOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3934,10 +3944,10 @@ public Builder setOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3967,10 +3977,10 @@ public Builder mergeOnlineServingConfig(
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -3992,10 +4002,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -4012,10 +4022,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -4037,10 +4047,10 @@ public Builder clearOnlineServingConfig() {
      *
      *
      * 
-     * Optional. Config for online storage resources. The field should not co-exist with the
-     * field of `OnlineStoreReplicationConfig`. If both of it and
-     * OnlineStoreReplicationConfig are unset, the feature store will not have an
-     * online store and cannot be used for online serving.
+     * Optional. Config for online storage resources. The field should not
+     * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+     * and OnlineStoreReplicationConfig are unset, the feature store will not have
+     * an online store and cannot be used for online serving.
      * 

      *
      * 
@@ -4172,13 +4182,12 @@ public Builder clearState() {
      *
      *
      * 
-     * Optional. TTL in days for feature values that will be stored in online serving
-     * storage. The Feature Store online storage periodically removes obsolete
-     * feature values older than `online_storage_ttl_days` since the feature
-     * generation time.
-     * Note that `online_storage_ttl_days` should be less than or equal to
-     * `offline_storage_ttl_days` for each EntityType under a featurestore.
-     * If not set, default to 4000 days
+     * Optional. TTL in days for feature values that will be stored in online
+     * serving storage. The Feature Store online storage periodically removes
+     * obsolete feature values older than `online_storage_ttl_days` since the
+     * feature generation time. Note that `online_storage_ttl_days` should be less
+     * than or equal to `offline_storage_ttl_days` for each EntityType under a
+     * featurestore. If not set, default to 4000 days
      * 

      *
      * int32 online_storage_ttl_days = 13 [(.google.api.field_behavior) = OPTIONAL];
@@ -4193,13 +4202,12 @@ public int getOnlineStorageTtlDays() {
      *
      *
      * 
-     * Optional. TTL in days for feature values that will be stored in online serving
-     * storage. The Feature Store online storage periodically removes obsolete
-     * feature values older than `online_storage_ttl_days` since the feature
-     * generation time.
-     * Note that `online_storage_ttl_days` should be less than or equal to
-     * `offline_storage_ttl_days` for each EntityType under a featurestore.
-     * If not set, default to 4000 days
+     * Optional. TTL in days for feature values that will be stored in online
+     * serving storage. The Feature Store online storage periodically removes
+     * obsolete feature values older than `online_storage_ttl_days` since the
+     * feature generation time. Note that `online_storage_ttl_days` should be less
+     * than or equal to `offline_storage_ttl_days` for each EntityType under a
+     * featurestore. If not set, default to 4000 days
      * 

      *
      * int32 online_storage_ttl_days = 13 [(.google.api.field_behavior) = OPTIONAL];
@@ -4217,13 +4225,12 @@ public Builder setOnlineStorageTtlDays(int value) {
      *
      *
      * 
-     * Optional. TTL in days for feature values that will be stored in online serving
-     * storage. The Feature Store online storage periodically removes obsolete
-     * feature values older than `online_storage_ttl_days` since the feature
-     * generation time.
-     * Note that `online_storage_ttl_days` should be less than or equal to
-     * `offline_storage_ttl_days` for each EntityType under a featurestore.
-     * If not set, default to 4000 days
+     * Optional. TTL in days for feature values that will be stored in online
+     * serving storage. The Feature Store online storage periodically removes
+     * obsolete feature values older than `online_storage_ttl_days` since the
+     * feature generation time. Note that `online_storage_ttl_days` should be less
+     * than or equal to `offline_storage_ttl_days` for each EntityType under a
+     * featurestore. If not set, default to 4000 days
      * 

      *
      * int32 online_storage_ttl_days = 13 [(.google.api.field_behavior) = OPTIONAL];
@@ -4247,8 +4254,8 @@ public Builder clearOnlineStorageTtlDays() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4264,8 +4271,8 @@ public boolean hasEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4287,8 +4294,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4312,8 +4319,8 @@ public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionS
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4335,8 +4342,8 @@ public Builder setEncryptionSpec(
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4364,8 +4371,8 @@ public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.Encryptio
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4387,8 +4394,8 @@ public Builder clearEncryptionSpec() {
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4404,8 +4411,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
@@ -4426,8 +4433,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * 
-     * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-     * online and offline data storage will be secured by this key.
+     * Optional. Customer-managed encryption key spec for data storage. If set,
+     * both of the online and offline data storage will be secured by this key.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfig.java
index 21f539c770d8..3b7957c5b5f4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfig.java
@@ -148,7 +148,8 @@ public interface SnapshotAnalysisOrBuilder
      * running interval. The value indicates number of days.
      * If both
      * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-     * and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+     * and
+     * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
      * are set when creating/updating EntityTypes/Features,
      * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
      * will be used.
@@ -326,7 +327,8 @@ public com.google.protobuf.DurationOrBuilder getMonitoringIntervalOrBuilder() {
      * running interval. The value indicates number of days.
      * If both
      * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-     * and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+     * and
+     * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
      * are set when creating/updating EntityTypes/Features,
      * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
      * will be used.
@@ -1100,7 +1102,8 @@ public com.google.protobuf.DurationOrBuilder getMonitoringIntervalOrBuilder() {
        * running interval. The value indicates number of days.
        * If both
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-       * and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+       * and
+       * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
        * are set when creating/updating EntityTypes/Features,
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
        * will be used.
@@ -1122,7 +1125,8 @@ public int getMonitoringIntervalDays() {
        * running interval. The value indicates number of days.
        * If both
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-       * and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+       * and
+       * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
        * are set when creating/updating EntityTypes/Features,
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
        * will be used.
@@ -1147,7 +1151,8 @@ public Builder setMonitoringIntervalDays(int value) {
        * running interval. The value indicates number of days.
        * If both
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-       * and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+       * and
+       * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
        * are set when creating/updating EntityTypes/Features,
        * [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
        * will be used.
@@ -3505,7 +3510,9 @@ public boolean hasImportFeaturesAnalysis() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -3524,7 +3531,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -3547,7 +3556,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -3569,7 +3580,9 @@ public boolean hasNumericalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
@@ -3588,7 +3601,9 @@ public boolean hasCategoricalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
@@ -3611,7 +3626,9 @@ public boolean hasCategoricalThresholdConfig() {
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
@@ -4544,7 +4561,9 @@ public Builder clearImportFeaturesAnalysis() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4562,7 +4581,9 @@ public boolean hasNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4588,7 +4609,9 @@ public boolean hasNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4615,7 +4638,9 @@ public Builder setNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4640,7 +4665,9 @@ public Builder setNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4672,7 +4699,9 @@ public Builder mergeNumericalThresholdConfig(
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4696,7 +4725,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4715,7 +4746,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4739,7 +4772,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for numerical features of anomaly detection.
      * This is shared by all objectives of Featurestore Monitoring for numerical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * DOUBLE or INT64).
      * 

      *
      * 
@@ -4782,7 +4817,9 @@ public Builder clearNumericalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4800,7 +4837,9 @@ public boolean hasCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4826,7 +4865,9 @@ public boolean hasCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4853,7 +4894,9 @@ public Builder setCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4878,7 +4921,9 @@ public Builder setCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4910,7 +4955,9 @@ public Builder mergeCategoricalThresholdConfig(
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4934,7 +4981,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4953,7 +5002,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
@@ -4977,7 +5028,9 @@ public Builder clearCategoricalThresholdConfig() {
      * 
      * Threshold for categorical features of anomaly detection.
      * This is shared by all types of Featurestore Monitoring for categorical
-     * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+     * features (i.e. Features with type
+     * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+     * BOOL or STRING).
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfigOrBuilder.java
index c7e3d84c0d78..197903044fa1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreMonitoringConfigOrBuilder.java
@@ -115,7 +115,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -131,7 +133,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -148,7 +152,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for numerical features of anomaly detection.
    * This is shared by all objectives of Featurestore Monitoring for numerical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * DOUBLE or INT64).
    * 

    *
    * 
@@ -164,7 +170,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
@@ -180,7 +188,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
@@ -197,7 +207,9 @@ public interface FeaturestoreMonitoringConfigOrBuilder
    * 
    * Threshold for categorical features of anomaly detection.
    * This is shared by all types of Featurestore Monitoring for categorical
-   * features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+   * features (i.e. Features with type
+   * ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+   * BOOL or STRING).
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
index cb842aff3f5a..4bc2789a716f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
@@ -130,8 +130,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -143,8 +143,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-   * "overwrite" update happens.
+   * Optional. Used to perform consistent read-modify-write updates. If not set,
+   * a blind "overwrite" update happens.
    * 

    *
    * string etag = 5 [(.google.api.field_behavior) = OPTIONAL];
@@ -157,7 +157,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -175,7 +176,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -196,7 +198,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -214,7 +217,8 @@ public interface FeaturestoreOrBuilder
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -237,7 +241,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. The labels with user-defined metadata to organize your Featurestore.
+   * Optional. The labels with user-defined metadata to organize your
+   * Featurestore.
    * Label keys and values can be no longer than 64 characters
    * (Unicode codepoints), can only contain lowercase letters, numeric
    * characters, underscores and dashes. International characters are allowed.
@@ -256,10 +261,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -273,10 +278,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -290,10 +295,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Config for online storage resources. The field should not co-exist with the
-   * field of `OnlineStoreReplicationConfig`. If both of it and
-   * OnlineStoreReplicationConfig are unset, the feature store will not have an
-   * online store and cannot be used for online serving.
+   * Optional. Config for online storage resources. The field should not
+   * co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+   * and OnlineStoreReplicationConfig are unset, the feature store will not have
+   * an online store and cannot be used for online serving.
    * 

    *
    * 
@@ -336,13 +341,12 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. TTL in days for feature values that will be stored in online serving
-   * storage. The Feature Store online storage periodically removes obsolete
-   * feature values older than `online_storage_ttl_days` since the feature
-   * generation time.
-   * Note that `online_storage_ttl_days` should be less than or equal to
-   * `offline_storage_ttl_days` for each EntityType under a featurestore.
-   * If not set, default to 4000 days
+   * Optional. TTL in days for feature values that will be stored in online
+   * serving storage. The Feature Store online storage periodically removes
+   * obsolete feature values older than `online_storage_ttl_days` since the
+   * feature generation time. Note that `online_storage_ttl_days` should be less
+   * than or equal to `offline_storage_ttl_days` for each EntityType under a
+   * featurestore. If not set, default to 4000 days
    * 

    *
    * int32 online_storage_ttl_days = 13 [(.google.api.field_behavior) = OPTIONAL];
@@ -355,8 +359,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -370,8 +374,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
@@ -385,8 +389,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Customer-managed encryption key spec for data storage. If set, both of the
-   * online and offline data storage will be secured by this key.
+   * Optional. Customer-managed encryption key spec for data storage. If set,
+   * both of the online and offline data storage will be secured by this key.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
index 1b9405ccb327..ff3f816dcef9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
@@ -82,10 +82,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -110,10 +111,11 @@ public java.lang.String getTrainingFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -141,10 +143,11 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -169,10 +172,11 @@ public java.lang.String getValidationFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -200,10 +204,11 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -228,10 +233,11 @@ public java.lang.String getTestFilter() {
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -637,10 +643,11 @@ public Builder mergeFrom(
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -664,10 +671,11 @@ public java.lang.String getTrainingFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -691,10 +699,11 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -717,10 +726,11 @@ public Builder setTrainingFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -739,10 +749,11 @@ public Builder clearTrainingFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to train the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -768,10 +779,11 @@ public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -795,10 +807,11 @@ public java.lang.String getValidationFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -822,10 +835,11 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -848,10 +862,11 @@ public Builder setValidationFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -870,10 +885,11 @@ public Builder clearValidationFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to validate the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -899,10 +915,11 @@ public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -926,10 +943,11 @@ public java.lang.String getTestFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -953,10 +971,11 @@ public com.google.protobuf.ByteString getTestFilterBytes() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -979,10 +998,11 @@ public Builder setTestFilter(java.lang.String value) {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -1001,10 +1021,11 @@ public Builder clearTestFilter() {
      * 
      * Required. A filter on DataItems of the Dataset. DataItems that match
      * this filter are used to test the Model. A filter with same syntax
-     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-     * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
-     * training, validation, test order.
+     * as the one used in
+     * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+     * may be used. If a single DataItem is matched by more than one of the
+     * FilterSplit filters, then it is assigned to the first set that applies to
+     * it in the training, validation, test order.
      * 

      *
      * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
index b859b4ca0291..46886e9923f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
@@ -29,10 +29,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -46,10 +47,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to train the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -64,10 +66,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,10 +84,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to validate the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -99,10 +103,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -116,10 +121,11 @@ public interface FilterSplitOrBuilder
    * 
    * Required. A filter on DataItems of the Dataset. DataItems that match
    * this filter are used to test the Model. A filter with same syntax
-   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-   * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
-   * training, validation, test order.
+   * as the one used in
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+   * may be used. If a single DataItem is matched by more than one of the
+   * FilterSplit filters, then it is assigned to the first set that applies to
+   * it in the training, validation, test order.
    * 

    *
    * string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestination.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestination.java
index 73fea59abebd..c40b1cd52c75 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestination.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestination.java
@@ -73,7 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -98,7 +99,8 @@ public java.lang.String getOutputUriPrefix() {
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -455,7 +457,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -479,7 +482,8 @@ public java.lang.String getOutputUriPrefix() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -503,7 +507,8 @@ public com.google.protobuf.ByteString getOutputUriPrefixBytes() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -526,7 +531,8 @@ public Builder setOutputUriPrefix(java.lang.String value) {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

@@ -545,7 +551,8 @@ public Builder clearOutputUriPrefix() {
      *
      *
      * 
-     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+     * end with
      * '/', a '/' will be automatically appended. The directory is created if it
      * doesn't exist.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestinationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestinationOrBuilder.java
index 22a05c2c9e26..634806e4eef9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestinationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GcsDestinationOrBuilder.java
@@ -27,7 +27,8 @@ public interface GcsDestinationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

@@ -41,7 +42,8 @@ public interface GcsDestinationOrBuilder
    *
    *
    * 
-   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't
+   * end with
    * '/', a '/' will be automatically appended. The directory is created if it
    * doesn't exist.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetAnnotationSpecRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetAnnotationSpecRequest.java
index 5e025fc5e489..643fb72caa89 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetAnnotationSpecRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetAnnotationSpecRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
+ * Request message for
+ * [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest}
@@ -348,7 +349,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
+   * Request message for
+   * [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetArtifactRequest.java
index d866dc0f688d..b2bd82bb1395 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
+ * Request message for
+ * [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetArtifactRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
+   * Request message for
+   * [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetArtifactRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetBatchPredictionJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetBatchPredictionJobRequest.java
index c69925100874..58368a2ae4e6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetBatchPredictionJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetBatchPredictionJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
+ * Request message for
+ * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
+   * Request message for
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetContextRequest.java
index a5110a6e6bf6..4dc8fab7a944 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
+ * Request message for
+ * [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetContextRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
+   * Request message for
+   * [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetContextRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetCustomJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetCustomJobRequest.java
index 5a0f3c065370..19d2e94ce297 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetCustomJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetCustomJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
+ * Request message for
+ * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetCustomJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
+   * Request message for
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetCustomJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDataLabelingJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDataLabelingJobRequest.java
index f94dc6ce59d0..822becd01412 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDataLabelingJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDataLabelingJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
+ * Request message for
+ * [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
+   * Request message for
+   * [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDatasetRequest.java
index 7736206d3ea3..bfa3ac1c8eca 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
+ * Request message for
+ * [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetDatasetRequest}
@@ -344,7 +345,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
+   * Request message for
+   * [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetDatasetRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEndpointRequest.java
index b6ed0acfdb22..e4ee2c707dad 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
+ * Request message for
+ * [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
+   * Request message for
+   * [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEntityTypeRequest.java
index 5e46c546c96f..0fc07cdd41c5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
+ * Request message for
+ * [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetEntityTypeRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
+   * Request message for
+   * [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetEntityTypeRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetExecutionRequest.java
index 23ede6cd22d7..434011231c85 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
+ * Request message for
+ * [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetExecutionRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
+   * Request message for
+   * [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetExecutionRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeatureRequest.java
index c331200e2d3b..0e304ba26e0a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
+ * Request message for
+ * [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetFeatureRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
+   * Request message for
+   * [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeaturestoreRequest.java
index d2d066244af5..aabe07311cc0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
+ * Request message for
+ * [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
+   * Request message for
+   * [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetHyperparameterTuningJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetHyperparameterTuningJobRequest.java
index aebd725aee6e..a20440d12ab1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetHyperparameterTuningJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetHyperparameterTuningJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
+ * Request message for
+ * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
+   * Request message for
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexEndpointRequest.java
index 8bb5f01ec1ca..1ac71a3b6fe5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
+ * Request message for
+ * [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
+   * Request message for
+   * [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexRequest.java
index 895a939a9e3a..e333182760ea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
+ * Request message for
+ * [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetIndexRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
+   * Request message for
+   * [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetIndexRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataSchemaRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataSchemaRequest.java
index 22dad4b53866..d8fb35539774 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataSchemaRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataSchemaRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
+ * Request message for
+ * [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetMetadataSchemaRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
+   * Request message for
+   * [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetMetadataSchemaRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataStoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataStoreRequest.java
index 3eea10767fe2..bb58929ddae6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataStoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetMetadataStoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
+ * Request message for
+ * [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetMetadataStoreRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
+   * Request message for
+   * [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetMetadataStoreRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationRequest.java
index ff9a9bd1c50d..1e7686a5cd9d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
+ * Request message for
+ * [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
+   * Request message for
+   * [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationSliceRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationSliceRequest.java
index 6079ea0bf89f..d21e22c5e0d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationSliceRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelEvaluationSliceRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
+ * Request message for
+ * [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
+   * Request message for
+   * [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelRequest.java
index ca566c0ead28..f96efedabe5a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
+ * Request message for
+ * [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelRequest}
@@ -303,7 +304,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
+   * Request message for
+   * [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetModelRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetPipelineJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetPipelineJobRequest.java
index 75130b54204b..f9a46b6aa19f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetPipelineJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetPipelineJobRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
+ * Request message for
+ * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetPipelineJobRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
+   * Request message for
+   * [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetPipelineJobRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetSpecialistPoolRequest.java
index f34b8b455af2..d8baa80e5e84 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetSpecialistPoolRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetStudyRequest.java
index 5ce2ad99fa42..06cee7cac070 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
+ * Request message for
+ * [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetStudyRequest}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
+   * Request message for
+   * [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardExperimentRequest.java
index 0967e956ad7b..1c2bf8ec5eaa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRequest.java
index 0ddcb7008d10..257eee8de0b0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
+ * Request message for
+ * [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
+   * Request message for
+   * [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRunRequest.java
index 7bcfd7fa5b80..e7fcc787253f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
+ * Request message for
+ * [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
+   * Request message for
+   * [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardTimeSeriesRequest.java
index e89287ae37d4..ea1e29236b59 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest}
@@ -290,7 +291,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrainingPipelineRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrainingPipelineRequest.java
index f81e2bf8da66..a1f2cb352a1e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrainingPipelineRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrainingPipelineRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
+ * Request message for
+ * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest}
@@ -288,7 +289,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
+   * Request message for
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrialRequest.java
index a6103b249a0d..4989d5172305 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/GetTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
+ * Request message for
+ * [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTrialRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
+   * Request message for
+   * [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.GetTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
index 71b2e0bb5175..688ccd789ca9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
@@ -302,8 +302,8 @@ public int getMaxFailedTrialCount() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -320,8 +320,8 @@ public boolean hasTrialJobSpec() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -340,8 +340,8 @@ public com.google.cloud.aiplatform.v1beta1.CustomJobSpec getTrialJobSpec() {
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -527,8 +527,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -544,8 +544,8 @@ public boolean hasStartTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -561,8 +561,8 @@ public com.google.protobuf.Timestamp getStartTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -579,8 +579,9 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -596,8 +597,9 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -613,8 +615,9 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -631,7 +634,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -647,7 +651,8 @@ public boolean hasUpdateTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -663,7 +668,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2325,8 +2331,8 @@ public Builder clearMaxFailedTrialCount() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2342,8 +2348,8 @@ public boolean hasTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2365,8 +2371,8 @@ public com.google.cloud.aiplatform.v1beta1.CustomJobSpec getTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2390,8 +2396,8 @@ public Builder setTrialJobSpec(com.google.cloud.aiplatform.v1beta1.CustomJobSpec
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2413,8 +2419,8 @@ public Builder setTrialJobSpec(
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2442,8 +2448,8 @@ public Builder mergeTrialJobSpec(com.google.cloud.aiplatform.v1beta1.CustomJobSp
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2465,8 +2471,8 @@ public Builder clearTrialJobSpec() {
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2482,8 +2488,8 @@ public com.google.cloud.aiplatform.v1beta1.CustomJobSpec.Builder getTrialJobSpec
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -2503,8 +2509,8 @@ public com.google.cloud.aiplatform.v1beta1.CustomJobSpecOrBuilder getTrialJobSpe
      *
      *
      * 
-     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-     * in all the trials.
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs
+     * created in all the trials.
      * 

      *
      * 
@@ -3225,8 +3231,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3242,8 +3248,8 @@ public boolean hasStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3263,8 +3269,8 @@ public com.google.protobuf.Timestamp getStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3288,8 +3294,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3310,8 +3316,8 @@ public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValu
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3337,8 +3343,8 @@ public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3360,8 +3366,8 @@ public Builder clearStartTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3377,8 +3383,8 @@ public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3396,8 +3402,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob for the first time entered the
-     * `JOB_STATE_RUNNING` state.
+     * Output only. Time when the HyperparameterTuningJob for the first time
+     * entered the `JOB_STATE_RUNNING` state.
      * 

      *
      * 
@@ -3431,8 +3437,9 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3447,8 +3454,9 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3467,8 +3475,9 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3491,8 +3500,9 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3512,8 +3522,9 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3538,8 +3549,9 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3560,8 +3572,9 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3576,8 +3589,9 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3594,8 +3608,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * Output only. Time when the HyperparameterTuningJob entered any of the
+     * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+     * `JOB_STATE_CANCELLED`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3628,7 +3643,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3644,7 +3660,8 @@ public boolean hasUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3666,7 +3683,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3690,7 +3708,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3711,7 +3730,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3737,7 +3757,8 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3759,7 +3780,8 @@ public Builder clearUpdateTime() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3775,7 +3797,8 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
@@ -3795,7 +3818,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * Output only. Time when the HyperparameterTuningJob was most recently
+     * updated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
index 48830e8a0a13..4e9cb687eac2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
@@ -164,8 +164,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -179,8 +179,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -194,8 +194,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
-   * in all the trials.
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs
+   * created in all the trials.
    * 

    *
    * 
@@ -337,8 +337,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -351,8 +351,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -365,8 +365,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob for the first time entered the
-   * `JOB_STATE_RUNNING` state.
+   * Output only. Time when the HyperparameterTuningJob for the first time
+   * entered the `JOB_STATE_RUNNING` state.
    * 

    *
    * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -378,8 +378,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -392,8 +393,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -406,8 +408,9 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
-   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * Output only. Time when the HyperparameterTuningJob entered any of the
+   * following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+   * `JOB_STATE_CANCELLED`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -419,7 +422,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -432,7 +436,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -445,7 +450,8 @@ public interface HyperparameterTuningJobOrBuilder
    *
    *
    * 
-   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * Output only. Time when the HyperparameterTuningJob was most recently
+   * updated.
    * 

    *
    * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfig.java
index 6de068810ba3..b7895a0797dc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfig.java
@@ -217,7 +217,9 @@ public int getDataItemLabelsCount() {
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -249,7 +251,9 @@ public java.util.Map getDataItemLabels() {
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -272,7 +276,9 @@ public java.util.Map getDataItemLabelsMap()
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -300,7 +306,9 @@ public java.lang.String getDataItemLabelsOrDefault(
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -350,11 +358,15 @@ public int getAnnotationLabelsCount() {
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -378,11 +390,15 @@ public java.util.Map getAnnotationLabels() {
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -397,11 +413,15 @@ public java.util.Map getAnnotationLabelsMap(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -421,11 +441,15 @@ public java.lang.String getAnnotationLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -448,9 +472,9 @@ public java.lang.String getAnnotationLabelsOrThrow(java.lang.String key) {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -474,9 +498,9 @@ public java.lang.String getImportSchemaUri() {
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1240,7 +1264,9 @@ public int getDataItemLabelsCount() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1272,7 +1298,9 @@ public java.util.Map getDataItemLabels() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1295,7 +1323,9 @@ public java.util.Map getDataItemLabelsMap()
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1323,7 +1353,9 @@ public java.lang.String getDataItemLabelsOrDefault(
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1358,7 +1390,9 @@ public Builder clearDataItemLabels() {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1389,7 +1423,9 @@ public java.util.Map getMutableDataItemLabel
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1419,7 +1455,9 @@ public Builder putDataItemLabels(java.lang.String key, java.lang.String value) {
      * considered identical if their content bytes are identical (e.g. image bytes
      * or pdf bytes).
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> data_item_labels = 2;
@@ -1464,11 +1502,15 @@ public int getAnnotationLabelsCount() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1492,11 +1534,15 @@ public java.util.Map getAnnotationLabels() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1511,11 +1557,15 @@ public java.util.Map getAnnotationLabelsMap(
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1536,11 +1586,15 @@ public java.lang.String getAnnotationLabelsOrDefault(
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1568,11 +1622,15 @@ public Builder clearAnnotationLabels() {
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1595,11 +1653,15 @@ public java.util.Map getMutableAnnotationLab
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1621,11 +1683,15 @@ public Builder putAnnotationLabels(java.lang.String key, java.lang.String value)
      * 
      * Labels that will be applied to newly imported Annotations. If two
      * Annotations are identical, one of them will be deduped. Two Annotations are
-     * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+     * considered identical if their
+     * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+     * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+     * and all of their
      * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
      * These labels will be overridden by Annotation labels specified inside index
-     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * file referenced by
+     * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+     * e.g. jsonl file.
      * 

      *
      * map<string, string> annotation_labels = 3;
@@ -1641,9 +1707,9 @@ public Builder putAllAnnotationLabels(
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1666,9 +1732,9 @@ public java.lang.String getImportSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1691,9 +1757,9 @@ public com.google.protobuf.ByteString getImportSchemaUriBytes() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1715,9 +1781,9 @@ public Builder setImportSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -1735,9 +1801,9 @@ public Builder clearImportSchemaUri() {
      *
      *
      * 
-     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-     * format. Validation will be done against the schema. The schema is defined
-     * as an [OpenAPI 3.0.2 Schema
+     * Required. Points to a YAML file stored on Google Cloud Storage describing
+     * the import format. Validation will be done against the schema. The schema
+     * is defined as an [OpenAPI 3.0.2 Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfigOrBuilder.java
index aceb18e0d324..88986a6ab34e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataConfigOrBuilder.java
@@ -72,7 +72,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -92,7 +94,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -115,7 +119,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -135,7 +141,9 @@ public interface ImportDataConfigOrBuilder
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -160,7 +168,9 @@ java.lang.String getDataItemLabelsOrDefault(
    * considered identical if their content bytes are identical (e.g. image bytes
    * or pdf bytes).
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> data_item_labels = 2;
@@ -173,11 +183,15 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -189,11 +203,15 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -208,11 +226,15 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -224,11 +246,15 @@ java.lang.String getDataItemLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -245,11 +271,15 @@ java.lang.String getAnnotationLabelsOrDefault(
    * 
    * Labels that will be applied to newly imported Annotations. If two
    * Annotations are identical, one of them will be deduped. Two Annotations are
-   * considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+   * considered identical if their
+   * [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+   * [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+   * and all of their
    * [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
    * These labels will be overridden by Annotation labels specified inside index
-   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * file referenced by
+   * [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+   * e.g. jsonl file.
    * 

    *
    * map<string, string> annotation_labels = 3;
@@ -260,9 +290,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -275,9 +305,9 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * 
-   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
-   * format. Validation will be done against the schema. The schema is defined
-   * as an [OpenAPI 3.0.2 Schema
+   * Required. Points to a YAML file stored on Google Cloud Storage describing
+   * the import format. Validation will be done against the schema. The schema
+   * is defined as an [OpenAPI 3.0.2 Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataOperationMetadata.java
index 5918ddea3e5a..d85b789d9e37 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+ * Runtime operation information for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+   * Runtime operation information for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequest.java
index 71931e5e2026..177f25cacca4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+ * Request message for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataRequest}
@@ -131,8 +132,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -148,8 +149,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -165,8 +166,8 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -181,8 +182,8 @@ public int getImportConfigsCount() {
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -197,8 +198,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfig getImportConfigs(int
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -386,7 +387,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+   * Request message for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataRequest}
@@ -761,8 +763,8 @@ private void ensureImportConfigsIsMutable() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -781,8 +783,8 @@ private void ensureImportConfigsIsMutable() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -800,8 +802,8 @@ public int getImportConfigsCount() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -819,8 +821,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfig getImportConfigs(int
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -845,8 +847,8 @@ public Builder setImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -868,8 +870,8 @@ public Builder setImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -893,8 +895,8 @@ public Builder addImportConfigs(com.google.cloud.aiplatform.v1beta1.ImportDataCo
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -919,8 +921,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -942,8 +944,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -965,8 +967,8 @@ public Builder addImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -988,8 +990,8 @@ public Builder addAllImportConfigs(
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1010,8 +1012,8 @@ public Builder clearImportConfigs() {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1032,8 +1034,8 @@ public Builder removeImportConfigs(int index) {
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1048,8 +1050,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfig.Builder getImportCon
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1068,8 +1070,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfigOrBuilder getImportCo
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1088,8 +1090,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfigOrBuilder getImportCo
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1104,8 +1106,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfig.Builder addImportCon
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
@@ -1122,8 +1124,8 @@ public com.google.cloud.aiplatform.v1beta1.ImportDataConfig.Builder addImportCon
      *
      *
      * 
-     * Required. The desired input locations. The contents of all input locations will be
-     * imported in one batch.
+     * Required. The desired input locations. The contents of all input locations
+     * will be imported in one batch.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequestOrBuilder.java
index cecf518dfcb9..fee5602a9ca7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataRequestOrBuilder.java
@@ -60,8 +60,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -73,8 +73,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -86,8 +86,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -99,8 +99,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
@@ -113,8 +113,8 @@ public interface ImportDataRequestOrBuilder
    *
    *
    * 
-   * Required. The desired input locations. The contents of all input locations will be
-   * imported in one batch.
+   * Required. The desired input locations. The contents of all input locations
+   * will be imported in one batch.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataResponse.java
index 8fb05c699b21..0f6a22fc56f4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+ * Response message for
+ * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+   * Response message for
+   * [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequest.java
index d0534af191f3..7a971a6b427f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+ * Request message for
+ * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest}
@@ -78,8 +79,8 @@ public interface FeatureSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -91,8 +92,8 @@ public interface FeatureSpecOrBuilder
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -185,8 +186,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -209,8 +210,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Required. ID of the Feature to import values of. This Feature must exist in the
-     * target EntityType, or the request will fail.
+     * Required. ID of the Feature to import values of. This Feature must exist
+     * in the target EntityType, or the request will fail.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -660,8 +661,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -683,8 +684,8 @@ public java.lang.String getId() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -706,8 +707,8 @@ public com.google.protobuf.ByteString getIdBytes() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -728,8 +729,8 @@ public Builder setId(java.lang.String value) {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -746,8 +747,8 @@ public Builder clearId() {
        *
        *
        * 
-       * Required. ID of the Feature to import values of. This Feature must exist in the
-       * target EntityType, or the request will fail.
+       * Required. ID of the Feature to import values of. This Feature must exist
+       * in the target EntityType, or the request will fail.
        * 

        *
        * string id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1268,8 +1269,8 @@ public com.google.protobuf.TimestampOrBuilder getFeatureTimeOrBuilder() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -1295,8 +1296,8 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -1377,9 +1378,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1395,9 +1396,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1415,9 +1416,9 @@ public com.google.protobuf.ByteString getEntityIdFieldBytes() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1432,9 +1433,9 @@ public int getFeatureSpecsCount() {
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1450,9 +1451,9 @@ public com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpe
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -1828,7 +1829,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+   * Request message for
+   * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest}
@@ -3044,8 +3046,8 @@ public com.google.protobuf.TimestampOrBuilder getFeatureTimeOrBuilder() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3070,8 +3072,8 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3096,8 +3098,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3121,8 +3123,8 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3142,8 +3144,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType grouping the Features for which values
-     * are being imported. Format:
+     * Required. The resource name of the EntityType grouping the Features for
+     * which values are being imported. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
      * 

      *
@@ -3300,9 +3302,9 @@ private void ensureFeatureSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3322,9 +3324,9 @@ private void ensureFeatureSpecsIsMutable() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3342,9 +3344,9 @@ public int getFeatureSpecsCount() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3363,9 +3365,9 @@ public int getFeatureSpecsCount() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3391,9 +3393,9 @@ public Builder setFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3417,9 +3419,9 @@ public Builder setFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3444,9 +3446,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3472,9 +3474,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3497,9 +3499,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3523,9 +3525,9 @@ public Builder addFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3550,9 +3552,9 @@ public Builder addAllFeatureSpecs(
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3573,9 +3575,9 @@ public Builder clearFeatureSpecs() {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3596,9 +3598,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3613,9 +3615,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3634,9 +3636,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3657,9 +3659,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3677,9 +3679,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
@@ -3698,9 +3700,9 @@ public Builder removeFeatureSpecs(int index) {
      *
      *
      * 
-     * Required. Specifications defining which Feature values to import from the entity. The
-     * request fails if no feature_specs are provided, and having multiple
-     * feature_specs for one Feature is not allowed.
+     * Required. Specifications defining which Feature values to import from the
+     * entity. The request fails if no feature_specs are provided, and having
+     * multiple feature_specs for one Feature is not allowed.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequestOrBuilder.java
index ebe2607cc169..39ed24398518 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesRequestOrBuilder.java
@@ -150,8 +150,8 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -166,8 +166,8 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType grouping the Features for which values
-   * are being imported. Format:
+   * Required. The resource name of the EntityType grouping the Features for
+   * which values are being imported. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
    * 

    *
@@ -210,9 +210,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -225,9 +225,9 @@ public interface ImportFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -240,9 +240,9 @@ com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec getFe
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -254,9 +254,9 @@ com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec getFe
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
@@ -271,9 +271,9 @@ com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec getFe
    *
    *
    * 
-   * Required. Specifications defining which Feature values to import from the entity. The
-   * request fails if no feature_specs are provided, and having multiple
-   * feature_specs for one Feature is not allowed.
+   * Required. Specifications defining which Feature values to import from the
+   * entity. The request fails if no feature_specs are provided, and having
+   * multiple feature_specs for one Feature is not allowed.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
index eaa867438575..b5ca75c1d374 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+ * Response message for
+ * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse}
@@ -338,7 +339,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+   * Response message for
+   * [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportModelEvaluationRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportModelEvaluationRequest.java
index 6d0153a34648..9719369a6638 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportModelEvaluationRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportModelEvaluationRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
+ * Request message for
+ * [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest}
@@ -355,7 +356,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
+   * Request message for
+   * [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Index.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Index.java
index 5d198a2f7393..1fef41cb80ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Index.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Index.java
@@ -408,10 +408,10 @@ public com.google.protobuf.ByteString getDescriptionBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -438,10 +438,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -472,7 +472,8 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -488,7 +489,8 @@ public boolean hasMetadata() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -504,7 +506,8 @@ public com.google.protobuf.Value getMetadata() {
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -829,10 +832,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -852,10 +855,10 @@ public boolean hasUpdateTime() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -875,10 +878,10 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -949,8 +952,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexStatsOrBuilder getIndexStatsOrBu
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -967,8 +970,8 @@ public int getIndexUpdateMethodValue() {
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -2024,10 +2027,10 @@ public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2053,10 +2056,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2082,10 +2085,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2110,10 +2113,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2134,10 +2137,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Index, that is specific to it. Unset if the Index
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Index, that is specific to it. Unset if
+     * the Index does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2171,7 +2174,8 @@ public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2186,7 +2190,8 @@ public boolean hasMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2205,7 +2210,8 @@ public com.google.protobuf.Value getMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2228,7 +2234,8 @@ public Builder setMetadata(com.google.protobuf.Value value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2248,7 +2255,8 @@ public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2273,7 +2281,8 @@ public Builder mergeMetadata(com.google.protobuf.Value value) {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2294,7 +2303,8 @@ public Builder clearMetadata() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2309,7 +2319,8 @@ public com.google.protobuf.Value.Builder getMetadataBuilder() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -2326,7 +2337,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
      *
      * 
      * An additional information about the Index; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+     * be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
      * 

      *
      * .google.protobuf.Value metadata = 6;
@@ -3295,10 +3307,10 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3318,10 +3330,10 @@ public boolean hasUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3347,10 +3359,10 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3378,10 +3390,10 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3406,10 +3418,10 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3439,10 +3451,10 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3468,10 +3480,10 @@ public Builder clearUpdateTime() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3491,10 +3503,10 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3518,10 +3530,10 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      * This also includes any update to the contents of the Index.
      * Note that Operations working on this Index may have their
      * [Operations.metadata.generic_metadata.update_time]
-     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-     * timestamp, yet that does not mean their results are not already reflected
-     * in the Index. Result of any successfully completed Operation on the Index
-     * is reflected in it.
+     * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+     * little after the value of this timestamp, yet that does not mean their
+     * results are not already reflected in the Index. Result of any successfully
+     * completed Operation on the Index is reflected in it.
      * 

      *
      * 
@@ -3754,8 +3766,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexStatsOrBuilder getIndexStatsOrBu
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3772,8 +3784,8 @@ public int getIndexUpdateMethodValue() {
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3793,8 +3805,8 @@ public Builder setIndexUpdateMethodValue(int value) {
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3816,8 +3828,8 @@ public com.google.cloud.aiplatform.v1beta1.Index.IndexUpdateMethod getIndexUpdat
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
@@ -3841,8 +3853,8 @@ public Builder setIndexUpdateMethod(
      *
      *
      * 
-     * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-     * used by default.
+     * Immutable. The update method to use with this Index. If not set,
+     * BATCH_UPDATE will be used by default.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapoint.java
index d78ed66a1fd3..0c35024b6032 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapoint.java
@@ -2141,10 +2141,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2160,10 +2160,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2180,10 +2180,10 @@ public float getFeatureVector(int index) {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2198,10 +2198,10 @@ public int getRestrictsCount() {
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2216,10 +2216,10 @@ public com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction getRestric
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -2238,8 +2238,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction getRestric
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -2256,8 +2256,8 @@ public boolean hasCrowdingTag() {
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -2276,8 +2276,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag getCrowdin
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -3044,10 +3044,10 @@ private void ensureRestrictsIsMutable() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3066,10 +3066,10 @@ private void ensureRestrictsIsMutable() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3087,10 +3087,10 @@ public int getRestrictsCount() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3108,10 +3108,10 @@ public com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction getRestric
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3136,10 +3136,10 @@ public Builder setRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3162,10 +3162,10 @@ public Builder setRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3190,10 +3190,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3218,10 +3218,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3243,10 +3243,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3269,10 +3269,10 @@ public Builder addRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3295,10 +3295,10 @@ public Builder addAllRestricts(
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3319,10 +3319,10 @@ public Builder clearRestricts() {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3343,10 +3343,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3361,10 +3361,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3383,10 +3383,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3406,10 +3406,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3426,10 +3426,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3447,10 +3447,10 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-     * where boolean rule are used to filter the subset of the database eligible
-     * for matching.
-     * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+     * Optional. List of Restrict of the datapoint, used to perform "restricted
+     * searches" where boolean rule are used to filter the subset of the database
+     * eligible for matching. See:
+     * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
      * 

      *
      * 
@@ -3489,8 +3489,8 @@ public Builder removeRestricts(int index) {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3506,8 +3506,8 @@ public boolean hasCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3529,8 +3529,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag getCrowdin
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3555,8 +3555,8 @@ public Builder setCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3578,8 +3578,8 @@ public Builder setCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3609,8 +3609,8 @@ public Builder mergeCrowdingTag(
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3632,8 +3632,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3650,8 +3650,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
@@ -3672,8 +3672,8 @@ public Builder clearCrowdingTag() {
      *
      *
      * 
-     * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-     * crowding can be configured during query.
+     * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+     * in each crowding can be configured during query.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapointOrBuilder.java
index c373768b0f44..08ab54230c91 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexDatapointOrBuilder.java
@@ -93,10 +93,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -108,10 +108,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -123,10 +123,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -138,10 +138,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -154,10 +154,10 @@ public interface IndexDatapointOrBuilder
    *
    *
    * 
-   * Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-   * where boolean rule are used to filter the subset of the database eligible
-   * for matching.
-   * See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+   * Optional. List of Restrict of the datapoint, used to perform "restricted
+   * searches" where boolean rule are used to filter the subset of the database
+   * eligible for matching. See:
+   * https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
    * 

    *
    * 
@@ -171,8 +171,8 @@ com.google.cloud.aiplatform.v1beta1.IndexDatapoint.RestrictionOrBuilder getRestr
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -186,8 +186,8 @@ com.google.cloud.aiplatform.v1beta1.IndexDatapoint.RestrictionOrBuilder getRestr
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
@@ -201,8 +201,8 @@ com.google.cloud.aiplatform.v1beta1.IndexDatapoint.RestrictionOrBuilder getRestr
    *
    *
    * 
-   * Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-   * crowding can be configured during query.
+   * Optional. CrowdingTag of the datapoint, the number of neighbors to return
+   * in each crowding can be configured during query.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpoint.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpoint.java
index 9d262cdaef88..622f09a186ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpoint.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpoint.java
@@ -665,8 +665,10 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * 
-   * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+   * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+   * connect.
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -676,7 +678,7 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=97
+   *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=102
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Override
@@ -2935,8 +2937,10 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2946,7 +2950,7 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=102
      * @return The enablePrivateServiceConnect.
      */
     @java.lang.Override
@@ -2958,8 +2962,10 @@ public boolean getEnablePrivateServiceConnect() {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2969,7 +2975,7 @@ public boolean getEnablePrivateServiceConnect() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=102
      * @param value The enablePrivateServiceConnect to set.
      * @return This builder for chaining.
      */
@@ -2984,8 +2990,10 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      *
      *
      * 
-     * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-     * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+     * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+     * connect.
+     * Only one of the fields,
+     * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
      * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
      * can be set.
      * 

@@ -2995,7 +3003,7 @@ public Builder setEnablePrivateServiceConnect(boolean value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=97
+     *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=102
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpointOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpointOrBuilder.java
index 6a7e48e33f90..664d55913bd3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpointOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpointOrBuilder.java
@@ -406,8 +406,10 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
-   * Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+   * Optional. Deprecated: If true, expose the IndexEndpoint via private service
+   * connect.
+   * Only one of the fields,
+   * [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
    * [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
    * can be set.
    * 

@@ -417,7 +419,7 @@ java.lang.String getLabelsOrDefault(
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=97
+   *     deprecated. See google/cloud/aiplatform/v1beta1/index_endpoint.proto;l=102
    * @return The enablePrivateServiceConnect.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexOrBuilder.java
index 3876c8944c16..d9aad175f622 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexOrBuilder.java
@@ -106,10 +106,10 @@ public interface IndexOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -125,10 +125,10 @@ public interface IndexOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Index, that is specific to it. Unset if the Index
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Index, that is specific to it. Unset if
+   * the Index does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -146,7 +146,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -159,7 +160,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -172,7 +174,8 @@ public interface IndexOrBuilder
    *
    * 
    * An additional information about the Index; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+   * be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
    * 

    *
    * .google.protobuf.Value metadata = 6;
@@ -404,10 +407,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -424,10 +427,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -444,10 +447,10 @@ java.lang.String getLabelsOrDefault(
    * This also includes any update to the contents of the Index.
    * Note that Operations working on this Index may have their
    * [Operations.metadata.generic_metadata.update_time]
-   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-   * timestamp, yet that does not mean their results are not already reflected
-   * in the Index. Result of any successfully completed Operation on the Index
-   * is reflected in it.
+   * [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+   * little after the value of this timestamp, yet that does not mean their
+   * results are not already reflected in the Index. Result of any successfully
+   * completed Operation on the Index is reflected in it.
    * 

    *
    * .google.protobuf.Timestamp update_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -500,8 +503,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
@@ -515,8 +518,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-   * used by default.
+   * Immutable. The update method to use with this Index. If not set,
+   * BATCH_UPDATE will be used by default.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpoints.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpoints.java
index 5af503a36a01..95207382925f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpoints.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpoints.java
@@ -127,8 +127,8 @@ public com.google.protobuf.ByteString getMatchGrpcAddressBytes() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -151,8 +151,8 @@ public java.lang.String getServiceAttachment() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -640,8 +640,8 @@ public Builder setMatchGrpcAddressBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -663,8 +663,8 @@ public java.lang.String getServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -686,8 +686,8 @@ public com.google.protobuf.ByteString getServiceAttachmentBytes() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -708,8 +708,8 @@ public Builder setServiceAttachment(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -726,8 +726,8 @@ public Builder clearServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpointsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpointsOrBuilder.java
index c47d9474552f..c2fd22b9a99a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpointsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexPrivateEndpointsOrBuilder.java
@@ -52,8 +52,8 @@ public interface IndexPrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -65,8 +65,8 @@ public interface IndexPrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
index 748b30474bbb..4ede38a3e9aa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
@@ -636,9 +636,9 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -665,9 +665,9 @@ public java.lang.String getDatasetId() {
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -703,9 +703,9 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -734,9 +734,9 @@ public java.lang.String getAnnotationsFilter() {
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -770,13 +770,17 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+   * the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -808,13 +812,17 @@ public java.lang.String getAnnotationSchemaUri() {
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+   * the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -843,13 +851,20 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+   * used for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -874,13 +889,20 @@ public java.lang.String getSavedQueryId() {
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+   * used for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -3428,9 +3450,9 @@ public Builder clearBigqueryDestination() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3456,9 +3478,9 @@ public java.lang.String getDatasetId() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3484,9 +3506,9 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3511,9 +3533,9 @@ public Builder setDatasetId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3534,9 +3556,9 @@ public Builder clearDatasetId() {
      *
      *
      * 
-     * Required. The ID of the Dataset in the same Project and Location which data will be
-     * used to train the Model. The Dataset must use schema compatible with
-     * Model being trained, and what is compatible should be described in the
+     * Required. The ID of the Dataset in the same Project and Location which data
+     * will be used to train the Model. The Dataset must use schema compatible
+     * with Model being trained, and what is compatible should be described in the
      * used TrainingPipeline's [training_task_definition]
      * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
      * For tabular Datasets, all their data is exported to training, to pick
@@ -3570,9 +3592,9 @@ public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3600,9 +3622,9 @@ public java.lang.String getAnnotationsFilter() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3630,9 +3652,9 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3659,9 +3681,9 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3684,9 +3706,9 @@ public Builder clearAnnotationsFilter() {
      * are used in respectively training, validation or test role, depending on
      * the role of the DataItem they are on (for the auto-assigned that role is
      * decided by Vertex AI). A filter with same syntax as the one used in
-     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-     * here it filters across all Annotations of the Dataset, and not just within
-     * a single DataItem.
+     * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+     * may be used, but note here it filters across all Annotations of the
+     * Dataset, and not just within a single DataItem.
      * 

      *
      * string annotations_filter = 6;
@@ -3718,13 +3740,17 @@ public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+     * the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3755,13 +3781,17 @@ public java.lang.String getAnnotationSchemaUri() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+     * the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3792,13 +3822,17 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+     * the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3828,13 +3862,17 @@ public Builder setAnnotationSchemaUri(java.lang.String value) {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+     * the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3860,13 +3898,17 @@ public Builder clearAnnotationSchemaUri() {
      * The schema files that can be used here are found in
      * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
-     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+     * the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
      * Only Annotations that both match this schema and belong to DataItems not
      * ignored by the split method are used in respectively training, validation
      * or test role, depending on the role of the DataItem they are on.
-     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+     * When used in conjunction with
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+     * and
      * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
      * 

      *
@@ -3893,13 +3935,20 @@ public Builder setAnnotationSchemaUriBytes(com.google.protobuf.ByteString value)
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+     * used for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3923,13 +3972,20 @@ public java.lang.String getSavedQueryId() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+     * used for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3953,13 +4009,20 @@ public com.google.protobuf.ByteString getSavedQueryIdBytes() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+     * used for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -3982,13 +4045,20 @@ public Builder setSavedQueryId(java.lang.String value) {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+     * used for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
@@ -4007,13 +4077,20 @@ public Builder clearSavedQueryId() {
      * 
      * Only applicable to Datasets that have SavedQueries.
      * The ID of a SavedQuery (annotation set) under the Dataset specified by
-     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+     * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+     * used for filtering Annotations for training.
      * Only Annotations that are associated with this SavedQuery are used in
      * respectively training. When used in conjunction with
-     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-     * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-     * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-     * specified as both of them represent the same thing: problem type.
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+     * the Annotations used for training are filtered by both
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+     * Only one of
+     * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+     * and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+     * should be specified as both of them represent the same thing: problem type.
      * 

      *
      * string saved_query_id = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
index d37a61a01dcb..139804c75bc0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
@@ -369,9 +369,9 @@ public interface InputDataConfigOrBuilder
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -387,9 +387,9 @@ public interface InputDataConfigOrBuilder
    *
    *
    * 
-   * Required. The ID of the Dataset in the same Project and Location which data will be
-   * used to train the Model. The Dataset must use schema compatible with
-   * Model being trained, and what is compatible should be described in the
+   * Required. The ID of the Dataset in the same Project and Location which data
+   * will be used to train the Model. The Dataset must use schema compatible
+   * with Model being trained, and what is compatible should be described in the
    * used TrainingPipeline's [training_task_definition]
    * [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
    * For tabular Datasets, all their data is exported to training, to pick
@@ -412,9 +412,9 @@ public interface InputDataConfigOrBuilder
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -432,9 +432,9 @@ public interface InputDataConfigOrBuilder
    * are used in respectively training, validation or test role, depending on
    * the role of the DataItem they are on (for the auto-assigned that role is
    * decided by Vertex AI). A filter with same syntax as the one used in
-   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-   * here it filters across all Annotations of the Dataset, and not just within
-   * a single DataItem.
+   * [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+   * may be used, but note here it filters across all Annotations of the
+   * Dataset, and not just within a single DataItem.
    * 

    *
    * string annotations_filter = 6;
@@ -455,13 +455,17 @@ public interface InputDataConfigOrBuilder
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+   * the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -482,13 +486,17 @@ public interface InputDataConfigOrBuilder
    * The schema files that can be used here are found in
    * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
-   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+   * the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
    * Only Annotations that both match this schema and belong to DataItems not
    * ignored by the split method are used in respectively training, validation
    * or test role, depending on the role of the DataItem they are on.
-   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+   * When used in conjunction with
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+   * and
    * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
    * 

    *
@@ -504,13 +512,20 @@ public interface InputDataConfigOrBuilder
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+   * used for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
@@ -524,13 +539,20 @@ public interface InputDataConfigOrBuilder
    * 
    * Only applicable to Datasets that have SavedQueries.
    * The ID of a SavedQuery (annotation set) under the Dataset specified by
-   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+   * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+   * used for filtering Annotations for training.
    * Only Annotations that are associated with this SavedQuery are used in
    * respectively training. When used in conjunction with
-   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-   * both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
-   * Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-   * specified as both of them represent the same thing: problem type.
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+   * the Annotations used for training are filtered by both
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+   * Only one of
+   * [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+   * and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+   * should be specified as both of them represent the same thing: problem type.
    * 

    *
    * string saved_query_id = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsRequest.java
index 40be23e4c5ba..bcdddd94db41 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+ * Request message for
+ * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListAnnotationsRequest}
@@ -554,7 +555,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+   * Request message for
+   * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListAnnotationsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsResponse.java
index 16ca519d6fa8..530705288184 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListAnnotationsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+ * Response message for
+ * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListAnnotationsResponse}
@@ -362,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+   * Response message for
+   * [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListAnnotationsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequest.java
index 33379d82fe8c..26347e5ddac5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+ * Request message for
+ * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListArtifactsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -559,7 +562,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+   * Request message for
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListArtifactsRequest}
@@ -963,7 +967,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -989,7 +994,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1015,7 +1021,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1040,7 +1047,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1061,7 +1069,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+     * A page token, received from a previous
+     * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequestOrBuilder.java
index 7e9cb6e33eb8..eaf496b0be8e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListArtifactsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -90,7 +91,8 @@ public interface ListArtifactsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+   * A page token, received from a previous
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponse.java
index a75f5c8d35eb..b3fe11c268d0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+ * Response message for
+ * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListArtifactsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1beta1.ArtifactOrBuilder getArtifactsOrBuild
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+   * Response message for
+   * [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListArtifactsResponse}
@@ -947,7 +951,8 @@ public com.google.cloud.aiplatform.v1beta1.Artifact.Builder addArtifactsBuilder(
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -971,7 +976,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -995,7 +1001,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1018,7 +1025,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1037,7 +1045,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+     * A token, which can be sent as
+     * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponseOrBuilder.java
index 97336c41a2b3..c707d65e1a91 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListArtifactsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListArtifactsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+   * A token, which can be sent as
+   * [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequest.java
index 6f203141db47..3486e1980b58 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
+ * Request message for
+ * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest}
@@ -232,8 +233,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -258,8 +261,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -531,7 +536,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
+   * Request message for
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest}
@@ -1128,8 +1134,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1153,8 +1161,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1178,8 +1188,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1202,8 +1214,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1222,8 +1236,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequestOrBuilder.java
index a38a9ee4fab9..1c9ed42f630d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequestOrBuilder.java
@@ -130,8 +130,10 @@ public interface ListBatchPredictionJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -145,8 +147,10 @@ public interface ListBatchPredictionJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponse.java
index 7be753a69a5f..e8f31d4409d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+ * Response message for
+ * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse}
@@ -153,8 +154,9 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob getBatchPrediction
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -178,8 +180,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -376,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+   * Response message for
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse}
@@ -999,8 +1003,9 @@ public Builder removeBatchPredictionJobs(int index) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1023,8 +1028,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1047,8 +1053,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1070,8 +1077,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1089,8 +1097,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponseOrBuilder.java
index 69cb56cc5c2c..03fb1fef438c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsResponseOrBuilder.java
@@ -87,8 +87,9 @@ com.google.cloud.aiplatform.v1beta1.BatchPredictionJobOrBuilder getBatchPredicti
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -101,8 +102,9 @@ com.google.cloud.aiplatform.v1beta1.BatchPredictionJobOrBuilder getBatchPredicti
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequest.java
index 6e61877757b1..5eeb2c11ddff 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+ * Request message for
+ * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListContextsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -565,7 +568,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+   * Request message for
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListContextsRequest}
@@ -969,7 +973,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -995,7 +1000,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1021,7 +1027,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1046,7 +1053,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
@@ -1067,7 +1075,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+     * A page token, received from a previous
+     * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequestOrBuilder.java
index 01e832ea7acb..f48f8964d18d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListContextsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
@@ -90,7 +91,8 @@ public interface ListContextsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+   * A page token, received from a previous
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponse.java
index 1515cb174c0a..fb19f7c70184 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
+ * Response message for
+ * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListContextsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1beta1.ContextOrBuilder getContextsOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
+   * Response message for
+   * [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListContextsResponse}
@@ -946,7 +950,8 @@ public com.google.cloud.aiplatform.v1beta1.Context.Builder addContextsBuilder(in
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -970,7 +975,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -994,7 +1000,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1017,7 +1024,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1036,7 +1044,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+     * A token, which can be sent as
+     * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponseOrBuilder.java
index c292d0868165..21ef31592b9e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListContextsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListContextsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListContextsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+   * A token, which can be sent as
+   * [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequest.java
index f13cc3e22643..e4ae997324b1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
+ * Request message for
+ * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListCustomJobsRequest}
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -527,7 +532,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
+   * Request message for
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListCustomJobsRequest}
@@ -1113,8 +1119,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1138,8 +1146,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1163,8 +1173,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1187,8 +1199,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1207,8 +1221,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequestOrBuilder.java
index 5f75debcf568..22c2e9255ad1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsRequestOrBuilder.java
@@ -128,8 +128,10 @@ public interface ListCustomJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +145,10 @@ public interface ListCustomJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponse.java
index 53db0ab722d1..06b9e1122cf0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+ * Response message for
+ * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListCustomJobsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1beta1.CustomJobOrBuilder getCustomJobsOrBui
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+   * Response message for
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListCustomJobsResponse}
@@ -947,7 +953,9 @@ public com.google.cloud.aiplatform.v1beta1.CustomJob.Builder addCustomJobsBuilde
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -970,7 +978,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -993,7 +1003,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1015,7 +1027,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1033,7 +1047,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponseOrBuilder.java
index ff513c83eaac..cb64e9199b97 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListCustomJobsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListCustomJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListCustomJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsRequest.java
index 52c23216d1af..d18f2211d310 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+ * Request message for
+ * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataItemsRequest}
@@ -554,7 +555,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+   * Request message for
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataItemsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsResponse.java
index 92b17fb83656..62c9d71a7ca7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+ * Response message for
+ * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataItemsResponse}
@@ -361,7 +362,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+   * Response message for
+   * [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataItemsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsRequest.java
index 3badbc4fba2d..d256ab07f78f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+ * Request message for
+ * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest}
@@ -593,7 +594,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+   * Request message for
+   * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsResponse.java
index 0c04ac0009d0..8c50cf5cdc5a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+ * Response message for
+ * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse}
@@ -368,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+   * Response message for
+   * [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
index 420b9f701845..f2bd4b59a4a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+ * Request message for
+ * [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDatasetsRequest}
@@ -580,7 +581,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+   * Request message for
+   * [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDatasetsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsResponse.java
index d8265be9b912..63c148fbef9e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+ * Response message for
+ * [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDatasetsResponse}
@@ -361,7 +362,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+   * Response message for
+   * [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListDatasetsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequest.java
index a705bd4ffafc..1e4aa01eeb3b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequest.java
@@ -75,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The parent Location which owns this collection of DeploymentResourcePools.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The parent Location which owns this collection of
+   * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +101,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The parent Location which owns this collection of DeploymentResourcePools.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The parent Location which owns this collection of
+   * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -587,8 +587,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The parent Location which owns this collection of DeploymentResourcePools.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The parent Location which owns this collection of
+     * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -612,8 +612,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The parent Location which owns this collection of DeploymentResourcePools.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The parent Location which owns this collection of
+     * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -637,8 +637,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The parent Location which owns this collection of DeploymentResourcePools.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The parent Location which owns this collection of
+     * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -661,8 +661,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The parent Location which owns this collection of DeploymentResourcePools.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The parent Location which owns this collection of
+     * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -681,8 +681,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The parent Location which owns this collection of DeploymentResourcePools.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The parent Location which owns this collection of
+     * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequestOrBuilder.java
index 4b69b25bdf06..9aee6e732c76 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDeploymentResourcePoolsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListDeploymentResourcePoolsRequestOrBuilder
    *
    *
    * 
-   * Required. The parent Location which owns this collection of DeploymentResourcePools.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The parent Location which owns this collection of
+   * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListDeploymentResourcePoolsRequestOrBuilder
    *
    *
    * 
-   * Required. The parent Location which owns this collection of DeploymentResourcePools.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The parent Location which owns this collection of
+   * DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
index fb270debf9d1..616e3a9993b1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+ * Request message for
+ * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEndpointsRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -130,10 +131,11 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -165,10 +167,11 @@ public java.lang.String getFilter() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -223,8 +226,10 @@ public int getPageSize() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -249,8 +254,10 @@ public java.lang.String getPageToken() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -524,7 +531,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+   * Request message for
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEndpointsRequest}
@@ -754,8 +762,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -779,8 +787,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -804,8 +812,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -828,8 +836,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -848,8 +856,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the Endpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * Endpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -875,10 +883,11 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -909,10 +918,11 @@ public java.lang.String getFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -943,10 +953,11 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -976,10 +987,11 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1005,10 +1017,11 @@ public Builder clearFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *     i.e. the last segment of the Endpoint's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
      *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1095,8 +1108,10 @@ public Builder clearPageSize() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1120,8 +1135,10 @@ public java.lang.String getPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1145,8 +1162,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1169,8 +1188,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1189,8 +1210,10 @@ public Builder clearPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+     * of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
index 526e58a30737..ec8050a8ea32 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the Endpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * Endpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -58,10 +58,11 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -82,10 +83,11 @@ public interface ListEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *     i.e. the last segment of the Endpoint's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
    *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -122,8 +124,10 @@ public interface ListEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -137,8 +141,10 @@ public interface ListEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+   * of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponse.java
index 51796fe78801..fdcc6d056459 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+ * Response message for
+ * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEndpointsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointsOrBuild
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+   * Response message for
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEndpointsResponse}
@@ -946,7 +952,9 @@ public com.google.cloud.aiplatform.v1beta1.Endpoint.Builder addEndpointsBuilder(
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -969,7 +977,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -992,7 +1002,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1014,7 +1026,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1032,7 +1046,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponseOrBuilder.java
index 83a1485c2ef9..a0fafbf62222 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequest.java
index 30f1c9ec9cd5..3d15abbb7ffc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+ * Request message for
+ * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEntityTypesRequest}
@@ -232,11 +233,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -260,11 +261,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -603,7 +604,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+   * Request message for
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEntityTypesRequest}
@@ -1210,11 +1212,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1237,11 +1239,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1264,11 +1266,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1290,11 +1292,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1312,11 +1314,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequestOrBuilder.java
index dff2c3fd3ac9..1cd5f1066204 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesRequestOrBuilder.java
@@ -130,11 +130,11 @@ public interface ListEntityTypesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -147,11 +147,11 @@ public interface ListEntityTypesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponse.java
index 5eb003e7fba7..450a32d9e840 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+ * Response message for
+ * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEntityTypesResponse}
@@ -144,9 +145,10 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypesOrB
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -169,9 +171,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+   * Response message for
+   * [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListEntityTypesResponse}
@@ -949,9 +953,10 @@ public com.google.cloud.aiplatform.v1beta1.EntityType.Builder addEntityTypesBuil
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -973,9 +978,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -997,9 +1003,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1020,9 +1027,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1039,9 +1047,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponseOrBuilder.java
index 8241d1342734..7ebcbb47442e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEntityTypesResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListEntityTypesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListEntityTypesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequest.java
index bc1071b1d873..5ba6b9478e08 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+ * Request message for
+ * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListExecutionsRequest}
@@ -152,7 +153,8 @@ public int getPageSize() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -179,7 +181,8 @@ public java.lang.String getPageToken() {
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -559,7 +562,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+   * Request message for
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListExecutionsRequest}
@@ -963,7 +967,8 @@ public Builder clearPageSize() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -989,7 +994,8 @@ public java.lang.String getPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1015,7 +1021,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1040,7 +1047,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
@@ -1061,7 +1069,8 @@ public Builder clearPageToken() {
      *
      *
      * 
-     * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+     * A page token, received from a previous
+     * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
      * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with an
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequestOrBuilder.java
index 0b5c164d1ce6..0cf3e2edec17 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsRequestOrBuilder.java
@@ -74,7 +74,8 @@ public interface ListExecutionsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
@@ -90,7 +91,8 @@ public interface ListExecutionsRequestOrBuilder
    *
    *
    * 
-   * A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+   * A page token, received from a previous
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
    * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with an
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponse.java
index 24f6b2bb9d9c..20db35fd721f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+ * Response message for
+ * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListExecutionsResponse}
@@ -143,7 +144,8 @@ public com.google.cloud.aiplatform.v1beta1.ExecutionOrBuilder getExecutionsOrBui
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -168,7 +170,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+   * Response message for
+   * [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListExecutionsResponse}
@@ -948,7 +952,8 @@ public com.google.cloud.aiplatform.v1beta1.Execution.Builder addExecutionsBuilde
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -972,7 +977,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -996,7 +1002,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1019,7 +1026,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

@@ -1038,7 +1046,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+     * A token, which can be sent as
+     * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
      * to retrieve the next page.
      * If this field is not populated, there are no subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponseOrBuilder.java
index 9b6ecbf9ccf6..89a97f6ef684 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListExecutionsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListExecutionsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListExecutionsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+   * A token, which can be sent as
+   * [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
    * to retrieve the next page.
    * If this field is not populated, there are no subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequest.java
index 4e4757940617..24ef6bc44aea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+ * Request message for
+ * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturesRequest}
@@ -236,11 +237,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -264,11 +265,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -401,10 +402,12 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
    *
    *
    * 
-   * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+   * If set, return the most recent
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
    * of stats for each Feature in response. Valid value is [0, 10]. If number of
-   * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-   * existing stats.
+   * stats exists <
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+   * return all existing stats.
    * 

    *
    * int32 latest_stats_count = 7;
@@ -639,7 +642,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+   * Request message for
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturesRequest}
@@ -1268,11 +1272,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1295,11 +1299,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1322,11 +1326,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1348,11 +1352,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1370,11 +1374,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1713,10 +1717,12 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
@@ -1731,10 +1737,12 @@ public int getLatestStatsCount() {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
@@ -1752,10 +1760,12 @@ public Builder setLatestStatsCount(int value) {
      *
      *
      * 
-     * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+     * If set, return the most recent
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
      * of stats for each Feature in response. Valid value is [0, 10]. If number of
-     * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-     * existing stats.
+     * stats exists <
+     * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+     * return all existing stats.
      * 

      *
      * int32 latest_stats_count = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequestOrBuilder.java
index 7dc2d0ecc26a..ee3a15daadd9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesRequestOrBuilder.java
@@ -134,11 +134,11 @@ public interface ListFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -151,11 +151,11 @@ public interface ListFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -240,10 +240,12 @@ public interface ListFeaturesRequestOrBuilder
    *
    *
    * 
-   * If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+   * If set, return the most recent
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
    * of stats for each Feature in response. Valid value is [0, 10]. If number of
-   * stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-   * existing stats.
+   * stats exists <
+   * [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+   * return all existing stats.
    * 

    *
    * int32 latest_stats_count = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponse.java
index 8555af9373b8..322d55748dd6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+ * Response message for
+ * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturesResponse}
@@ -143,9 +144,10 @@ public com.google.cloud.aiplatform.v1beta1.FeatureOrBuilder getFeaturesOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -168,9 +170,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -365,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+   * Response message for
+   * [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturesResponse}
@@ -946,9 +950,10 @@ public com.google.cloud.aiplatform.v1beta1.Feature.Builder addFeaturesBuilder(in
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -970,9 +975,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -994,9 +1000,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1017,9 +1024,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1036,9 +1044,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponseOrBuilder.java
index 905d42e9e960..d7c58ce20342 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturesResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequest.java
index e24f25d52b5d..201fa08dac63 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+ * Request message for
+ * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest}
@@ -234,11 +235,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -262,11 +263,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -605,7 +606,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+   * Request message for
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest}
@@ -1219,11 +1221,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1246,11 +1248,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1273,11 +1275,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1299,11 +1301,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1321,11 +1323,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-     * match the call that provided the page token.
+     * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequestOrBuilder.java
index ff3e8b511409..251d0374f7d3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresRequestOrBuilder.java
@@ -132,11 +132,11 @@ public interface ListFeaturestoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -149,11 +149,11 @@ public interface ListFeaturestoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-   * match the call that provided the page token.
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponse.java
index 2edf581e22df..d9eddb1a3c23 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+ * Response message for
+ * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse}
@@ -144,9 +145,10 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -169,9 +171,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+   * Response message for
+   * [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse}
@@ -960,9 +964,10 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore.Builder addFeaturestores
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -984,9 +989,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1008,9 +1014,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1031,9 +1038,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1050,9 +1058,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponseOrBuilder.java
index c2d8c0fb2d19..5c1489259de2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListFeaturestoresResponseOrBuilder.java
@@ -79,9 +79,10 @@ public interface ListFeaturestoresResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -93,9 +94,10 @@ public interface ListFeaturestoresResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequest.java
index 5361596f5c96..3b7c0008c45a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
+ * Request message for
+ * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest}
@@ -77,8 +78,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -103,8 +105,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -231,8 +234,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -257,8 +262,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -530,7 +537,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
+   * Request message for
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest}
@@ -769,8 +777,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -794,8 +803,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -819,8 +829,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -843,8 +854,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -863,8 +875,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the HyperparameterTuningJobs
-     * from. Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the
+     * HyperparameterTuningJobs from. Format:
+     * `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -1125,8 +1138,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1150,8 +1165,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1175,8 +1192,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1199,8 +1218,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1219,8 +1240,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+     * of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequestOrBuilder.java
index 4e597ee1675f..e642c9b21679 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +43,9 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the HyperparameterTuningJobs
-   * from. Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the
+   * HyperparameterTuningJobs from. Format:
+   * `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -128,8 +130,10 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +147,10 @@ public interface ListHyperparameterTuningJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+   * of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponse.java
index ccb865062294..c93ba1b923de 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+ * Response message for
+ * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse}
@@ -78,7 +79,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -95,7 +97,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -113,7 +116,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -129,7 +133,8 @@ public int getHyperparameterTuningJobsCount() {
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -146,7 +151,8 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparam
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -166,8 +172,9 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparam
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -191,8 +198,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -392,7 +400,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+   * Response message for
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse}
@@ -652,7 +661,8 @@ private void ensureHyperparameterTuningJobsIsMutable() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -672,7 +682,8 @@ private void ensureHyperparameterTuningJobsIsMutable() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -691,7 +702,8 @@ public int getHyperparameterTuningJobsCount() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -711,7 +723,8 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparam
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -737,7 +750,8 @@ public Builder setHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -761,7 +775,8 @@ public Builder setHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -787,7 +802,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -813,7 +829,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -836,7 +853,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -860,7 +878,8 @@ public Builder addHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -884,7 +903,8 @@ public Builder addAllHyperparameterTuningJobs(
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -906,7 +926,8 @@ public Builder clearHyperparameterTuningJobs() {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -928,7 +949,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -944,7 +966,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -964,7 +987,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -985,7 +1009,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -1003,7 +1028,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -1022,7 +1048,8 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * List of HyperparameterTuningJobs in the requested page.
-     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+     * of the jobs will be not be returned.
      * 

      *
      * 
@@ -1060,8 +1087,9 @@ public Builder removeHyperparameterTuningJobs(int index) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1084,8 +1112,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1108,8 +1137,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1131,8 +1161,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1150,8 +1181,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponseOrBuilder.java
index 2086fe91bb80..7299c42d52fa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListHyperparameterTuningJobsResponseOrBuilder.java
@@ -28,7 +28,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -42,7 +43,8 @@ public interface ListHyperparameterTuningJobsResponseOrBuilder
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -56,7 +58,8 @@ com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparameterTun
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -69,7 +72,8 @@ com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparameterTun
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -83,7 +87,8 @@ com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparameterTun
    *
    * 
    * List of HyperparameterTuningJobs in the requested page.
-   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+   * of the jobs will be not be returned.
    * 

    *
    * 
@@ -98,8 +103,9 @@ com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparameterTun
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -112,8 +118,9 @@ com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob getHyperparameterTun
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequest.java
index e22417bb622f..fd7c8c30feee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+ * Request message for
+ * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -130,8 +131,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -168,8 +169,8 @@ public java.lang.String getFilter() {
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -530,7 +535,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+   * Request message for
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest}
@@ -762,8 +768,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -787,8 +793,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -812,8 +818,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -836,8 +842,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -856,8 +862,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location from which to list the IndexEndpoints.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location from which to list the
+     * IndexEndpoints. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -883,8 +889,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -920,8 +926,8 @@ public java.lang.String getFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -957,8 +963,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -993,8 +999,8 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -1025,8 +1031,8 @@ public Builder clearFilter() {
      *
      *
      * 
-     * Optional. An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
+     * Optional. An expression for filtering the results of the request. For field
+     * names both snake_case and camelCase are supported.
      *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
      *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
      *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -1118,8 +1124,10 @@ public Builder clearPageSize() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1143,8 +1151,10 @@ public java.lang.String getPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1168,8 +1178,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1192,8 +1204,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -1212,8 +1226,10 @@ public Builder clearPageToken() {
      * 
      * Optional. The standard list page token.
      * Typically obtained via
-     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+     * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+     * of the previous
+     * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+     * call.
      * 

      *
      * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequestOrBuilder.java
index 5a223d1f825c..6e65bc9a3293 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location from which to list the IndexEndpoints.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location from which to list the
+   * IndexEndpoints. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -58,8 +58,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -85,8 +85,8 @@ public interface ListIndexEndpointsRequestOrBuilder
    *
    *
    * 
-   * Optional. An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
+   * Optional. An expression for filtering the results of the request. For field
+   * names both snake_case and camelCase are supported.
    *   * `index_endpoint` supports = and !=. `index_endpoint` represents the
    *      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
    *      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
@@ -128,8 +128,10 @@ public interface ListIndexEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -143,8 +145,10 @@ public interface ListIndexEndpointsRequestOrBuilder
    * 
    * Optional. The standard list page token.
    * Typically obtained via
-   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+   * [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+   * of the previous
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+   * call.
    * 

    *
    * string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponse.java
index df8782ba1c49..a9ae55064cab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+ * Response message for
+ * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse}
@@ -145,7 +146,9 @@ public com.google.cloud.aiplatform.v1beta1.IndexEndpointOrBuilder getIndexEndpoi
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -169,7 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+   * Response message for
+   * [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse}
@@ -961,7 +967,9 @@ public com.google.cloud.aiplatform.v1beta1.IndexEndpoint.Builder addIndexEndpoin
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -984,7 +992,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1007,7 +1017,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1029,7 +1041,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1047,7 +1061,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponseOrBuilder.java
index d7e733acd18d..33cc09e251e4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexEndpointsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListIndexEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListIndexEndpointsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequest.java
index 27854c19e644..0f78c9b721db 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+ * Request message for
+ * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexesRequest}
@@ -199,8 +200,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -225,8 +228,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -497,7 +502,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+   * Request message for
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexesRequest}
@@ -1008,8 +1014,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1033,8 +1041,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1058,8 +1068,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1082,8 +1094,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1102,8 +1116,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+     * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+     * of the previous
+     * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequestOrBuilder.java
index f4737cafb438..45cb188eb111 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesRequestOrBuilder.java
@@ -98,8 +98,10 @@ public interface ListIndexesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -113,8 +115,10 @@ public interface ListIndexesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+   * [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+   * of the previous
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponse.java
index 02c6b2457bf9..02f1a2154811 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+ * Response message for
+ * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexesResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1beta1.IndexOrBuilder getIndexesOrBuilder(in
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+   * Response message for
+   * [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListIndexesResponse}
@@ -944,7 +950,9 @@ public com.google.cloud.aiplatform.v1beta1.Index.Builder addIndexesBuilder(int i
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -967,7 +975,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -990,7 +1000,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1012,7 +1024,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1030,7 +1044,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponseOrBuilder.java
index 56b2ed7a78c7..7db8b14707a3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListIndexesResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListIndexesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListIndexesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequest.java
index 94c68da8ca48..403f3dd5d281 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+ * Request message for
+ * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest}
@@ -153,8 +154,8 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -181,8 +182,8 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -445,7 +446,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+   * Request message for
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest}
@@ -842,8 +844,8 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -869,8 +871,8 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -896,8 +898,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -922,8 +924,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -944,8 +946,8 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-     * next page.
+     * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+     * call. Provide this to retrieve the next page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequestOrBuilder.java
index ec9cb6d1c0db..97dd92707db7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasRequestOrBuilder.java
@@ -76,8 +76,8 @@ public interface ListMetadataSchemasRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -93,8 +93,8 @@ public interface ListMetadataSchemasRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-   * next page.
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+   * call. Provide this to retrieve the next page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponse.java
index 233609d2e9fc..21c5e55ba068 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+ * Response message for
+ * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataSchemasResponse}
@@ -146,8 +147,9 @@ public com.google.cloud.aiplatform.v1beta1.MetadataSchemaOrBuilder getMetadataSc
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -171,8 +173,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -367,7 +370,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+   * Response message for
+   * [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataSchemasResponse}
@@ -965,8 +969,9 @@ public com.google.cloud.aiplatform.v1beta1.MetadataSchema.Builder addMetadataSch
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -989,8 +994,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1013,8 +1019,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1036,8 +1043,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1055,8 +1063,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponseOrBuilder.java
index 2179143ac8ac..a24166a04d48 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataSchemasResponseOrBuilder.java
@@ -81,8 +81,9 @@ com.google.cloud.aiplatform.v1beta1.MetadataSchemaOrBuilder getMetadataSchemasOr
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -95,8 +96,9 @@ com.google.cloud.aiplatform.v1beta1.MetadataSchemaOrBuilder getMetadataSchemasOr
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequest.java
index 28dc88a0b70a..111d43eee911 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+ * Request message for
+ * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest}
@@ -152,8 +153,8 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -180,8 +181,8 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -386,7 +387,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+   * Request message for
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest}
@@ -770,8 +772,8 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -797,8 +799,8 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -824,8 +826,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -850,8 +852,8 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
@@ -872,8 +874,8 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-     * subsequent page.
+     * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other provided parameters must match the call that
      * provided the page token. (Otherwise the request will fail with
      * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequestOrBuilder.java
index 830de0c99ced..e4d05a4c46a4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresRequestOrBuilder.java
@@ -76,8 +76,8 @@ public interface ListMetadataStoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
@@ -93,8 +93,8 @@ public interface ListMetadataStoresRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-   * subsequent page.
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other provided parameters must match the call that
    * provided the page token. (Otherwise the request will fail with
    * INVALID_ARGUMENT error.)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponse.java
index e21311d99b62..b8c20df9a471 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+ * Response message for
+ * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataStoresResponse}
@@ -145,8 +146,9 @@ public com.google.cloud.aiplatform.v1beta1.MetadataStoreOrBuilder getMetadataSto
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -170,8 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+   * Response message for
+   * [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListMetadataStoresResponse}
@@ -963,8 +967,9 @@ public com.google.cloud.aiplatform.v1beta1.MetadataStore.Builder addMetadataStor
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -987,8 +992,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1011,8 +1017,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1034,8 +1041,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1053,8 +1061,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-     * page. If this field is not populated, there are no subsequent pages.
+     * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+     * to retrieve the next page. If this field is not populated, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponseOrBuilder.java
index 45562670cf92..7a0b556ad605 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListMetadataStoresResponseOrBuilder.java
@@ -80,8 +80,9 @@ public interface ListMetadataStoresResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -94,8 +95,9 @@ public interface ListMetadataStoresResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-   * page. If this field is not populated, there are no subsequent pages.
+   * [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+   * to retrieve the next page. If this field is not populated, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequest.java
index 9853907438fb..bac850b47f3f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+ * Request message for
+ * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest}
@@ -76,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -103,8 +104,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -204,8 +205,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -230,8 +233,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -503,7 +508,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+   * Request message for
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest}
@@ -739,8 +745,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -765,8 +771,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -791,8 +797,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -816,8 +822,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -837,8 +843,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-     * from. Format:
+     * Required. The resource name of the ModelEvaluation to list the
+     * ModelEvaluationSlices from. Format:
      * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
      * 

      *
@@ -1030,8 +1036,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1055,8 +1063,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1080,8 +1090,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1104,8 +1116,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1124,8 +1138,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequestOrBuilder.java
index 1a20bbfce0f6..6147f26f40f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-   * from. Format:
+   * Required. The resource name of the ModelEvaluation to list the
+   * ModelEvaluationSlices from. Format:
    * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * 

    *
@@ -102,8 +102,10 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -117,8 +119,10 @@ public interface ListModelEvaluationSlicesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponse.java
index d6a93c5170b7..b9e08fe43696 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+ * Response message for
+ * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse}
@@ -159,8 +160,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice getModelEvaluati
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -184,8 +186,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -383,7 +386,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+   * Response message for
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse}
@@ -1028,8 +1032,9 @@ public Builder removeModelEvaluationSlices(int index) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1052,8 +1057,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1076,8 +1082,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1099,8 +1106,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1118,8 +1126,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-     * page.
+     * Pass to
+     * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponseOrBuilder.java
index f434c8ec15a4..87fdb4b5831f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationSlicesResponseOrBuilder.java
@@ -92,8 +92,9 @@ public interface ListModelEvaluationSlicesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -106,8 +107,9 @@ public interface ListModelEvaluationSlicesResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-   * page.
+   * Pass to
+   * [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequest.java
index 26c444af87bb..1b22458e0480 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+ * Request message for
+ * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest}
@@ -199,8 +200,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -225,8 +228,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -497,7 +502,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+   * Request message for
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest}
@@ -1011,8 +1017,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1036,8 +1044,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1061,8 +1071,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1085,8 +1097,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1105,8 +1119,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequestOrBuilder.java
index 822e6dac247d..318ff18b2ce4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsRequestOrBuilder.java
@@ -98,8 +98,10 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -113,8 +115,10 @@ public interface ListModelEvaluationsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponse.java
index ce39eff507af..8d92912ea985 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+ * Response message for
+ * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse}
@@ -146,7 +147,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluationOrBuilder getModelEval
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -170,7 +173,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -365,7 +370,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+   * Response message for
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse}
@@ -964,7 +970,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder addModelEvalu
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -987,7 +995,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1010,7 +1020,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1032,7 +1044,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1050,7 +1064,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponseOrBuilder.java
index 4b97721737e0..25dab01d2a9d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelEvaluationsResponseOrBuilder.java
@@ -81,7 +81,9 @@ com.google.cloud.aiplatform.v1beta1.ModelEvaluationOrBuilder getModelEvaluations
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -94,7 +96,9 @@ com.google.cloud.aiplatform.v1beta1.ModelEvaluationOrBuilder getModelEvaluations
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequest.java
index 0fa392cd9215..fc693c427abf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
+ * Request message for
+ * [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelVersionsRequest}
@@ -41,6 +42,7 @@ private ListModelVersionsRequest() {
     name_ = "";
     pageToken_ = "";
     filter_ = "";
+    orderBy_ = "";
   }
 
   @java.lang.Override
@@ -148,8 +150,8 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -174,8 +176,8 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -304,6 +306,65 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
     return getReadMask();
   }
 
+  public static final int ORDER_BY_FIELD_NUMBER = 6;
+  private volatile java.lang.Object orderBy_;
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The orderBy.
+   */
+  @java.lang.Override
+  public java.lang.String getOrderBy() {
+    java.lang.Object ref = orderBy_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      orderBy_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The bytes for orderBy.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOrderByBytes() {
+    java.lang.Object ref = orderBy_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      orderBy_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -333,6 +394,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (readMask_ != null) {
       output.writeMessage(5, getReadMask());
     }
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(orderBy_)) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, orderBy_);
+    }
     getUnknownFields().writeTo(output);
   }
 
@@ -357,6 +421,9 @@ public int getSerializedSize() {
     if (readMask_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getReadMask());
     }
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(orderBy_)) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, orderBy_);
+    }
     size += getUnknownFields().getSerializedSize();
     memoizedSize = size;
     return size;
@@ -381,6 +448,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasReadMask()) {
       if (!getReadMask().equals(other.getReadMask())) return false;
     }
+    if (!getOrderBy().equals(other.getOrderBy())) return false;
     if (!getUnknownFields().equals(other.getUnknownFields())) return false;
     return true;
   }
@@ -404,6 +472,8 @@ public int hashCode() {
       hash = (37 * hash) + READ_MASK_FIELD_NUMBER;
       hash = (53 * hash) + getReadMask().hashCode();
     }
+    hash = (37 * hash) + ORDER_BY_FIELD_NUMBER;
+    hash = (53 * hash) + getOrderBy().hashCode();
     hash = (29 * hash) + getUnknownFields().hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -509,7 +579,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
+   * Request message for
+   * [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelVersionsRequest}
@@ -557,6 +628,8 @@ public Builder clear() {
         readMask_ = null;
         readMaskBuilder_ = null;
       }
+      orderBy_ = "";
+
       return this;
     }
 
@@ -594,6 +667,7 @@ public com.google.cloud.aiplatform.v1beta1.ListModelVersionsRequest buildPartial
       } else {
         result.readMask_ = readMaskBuilder_.build();
       }
+      result.orderBy_ = orderBy_;
       onBuilt();
       return result;
     }
@@ -663,6 +737,10 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ListModelVersionsRe
       if (other.hasReadMask()) {
         mergeReadMask(other.getReadMask());
       }
+      if (!other.getOrderBy().isEmpty()) {
+        orderBy_ = other.orderBy_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.getUnknownFields());
       onChanged();
       return this;
@@ -719,6 +797,12 @@ public Builder mergeFrom(
 
                 break;
               } // case 42
+            case 50:
+              {
+                orderBy_ = input.readStringRequireUtf8();
+
+                break;
+              } // case 50
             default:
               {
                 if (!super.parseUnknownField(input, extensionRegistry, tag)) {
@@ -911,8 +995,8 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -936,8 +1020,8 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -961,8 +1045,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -985,8 +1069,8 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -1005,8 +1089,8 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-     * [ModelService.ListModelversions][] call.
+     * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+     * of the previous [ModelService.ListModelversions][] call.
      * 

      *
      * string page_token = 3;
@@ -1345,6 +1429,137 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
       return readMaskBuilder_;
     }
 
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `update_time asc, create_time desc`.
+     * 

+     *
+     * string order_by = 6;
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequestOrBuilder.java
index 377aec5e78e3..1add1e150fe6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsRequestOrBuilder.java
@@ -71,8 +71,8 @@ public interface ListModelVersionsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -86,8 +86,8 @@ public interface ListModelVersionsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-   * [ModelService.ListModelversions][] call.
+   * [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+   * of the previous [ModelService.ListModelversions][] call.
    * 

    *
    * string page_token = 3;
@@ -169,4 +169,39 @@ public interface ListModelVersionsRequestOrBuilder
    * .google.protobuf.FieldMask read_mask = 5;
    */
   com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * 
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `update_time asc, create_time desc`.
+   * 

+   *
+   * string order_by = 6;
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponse.java
index ce20cf544312..6a46874a2aa8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
+ * Response message for
+ * [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelVersionsResponse}
@@ -154,7 +155,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelsOrBuilder(int
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -178,7 +181,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -373,7 +378,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
+   * Response message for
+   * [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelVersionsResponse}
@@ -992,7 +998,9 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder addModelsBuilder(int in
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1015,7 +1023,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1038,7 +1048,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1060,7 +1072,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1078,7 +1092,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponseOrBuilder.java
index fb1eb7dfe1d6..907bdf74c470 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelVersionsResponseOrBuilder.java
@@ -90,7 +90,9 @@ public interface ListModelVersionsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -103,7 +105,9 @@ public interface ListModelVersionsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
index 141412b45d65..8ecdd1f94b1f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
+ * Request message for
+ * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelsRequest}
@@ -133,7 +134,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -168,7 +170,8 @@ public java.lang.String getFilter() {
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -223,8 +226,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -249,8 +254,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -521,7 +528,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
+   * Request message for
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelsRequest}
@@ -875,7 +883,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -909,7 +918,8 @@ public java.lang.String getFilter() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -943,7 +953,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -976,7 +987,8 @@ public Builder setFilter(java.lang.String value) {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1005,7 +1017,8 @@ public Builder clearFilter() {
      * An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *     i.e. the last segment of the Model's [resource
+     *     name][google.cloud.aiplatform.v1beta1.Model.name].
      *   * `display_name` supports = and !=
      *   * `labels` supports general map functions that is:
      *     * `labels.key=value` - key:value equality
@@ -1092,8 +1105,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1117,8 +1132,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1142,8 +1159,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1166,8 +1185,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1186,8 +1207,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+     * of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
index 8b752cb4489b..cceaff278c52 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
@@ -61,7 +61,8 @@ public interface ListModelsRequestOrBuilder
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -85,7 +86,8 @@ public interface ListModelsRequestOrBuilder
    * An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *     i.e. the last segment of the Model's [resource
+   *     name][google.cloud.aiplatform.v1beta1.Model.name].
    *   * `display_name` supports = and !=
    *   * `labels` supports general map functions that is:
    *     * `labels.key=value` - key:value equality
@@ -122,8 +124,10 @@ public interface ListModelsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -137,8 +141,10 @@ public interface ListModelsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+   * of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponse.java
index 89b983e8f110..54b8cbeb7c04 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+ * Response message for
+ * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelsResponse}
@@ -144,7 +145,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelsOrBuilder(int
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -168,7 +171,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -363,7 +368,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+   * Response message for
+   * [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListModelsResponse}
@@ -944,7 +950,9 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder addModelsBuilder(int in
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -967,7 +975,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -990,7 +1000,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1012,7 +1024,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1030,7 +1044,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponseOrBuilder.java
index 866be6c433b9..a7d0678383b0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListModelsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsRequest.java
index 2611951e6314..e9e8d17cd250 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+ * Request message for
+ * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListOptimalTrialsRequest}
@@ -284,7 +285,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+   * Request message for
+   * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListOptimalTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsResponse.java
index 4462b2dca883..e6ea27beb62d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListOptimalTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+ * Response message for
+ * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListOptimalTrialsResponse}
@@ -317,7 +318,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+   * Response message for
+   * [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListOptimalTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequest.java
index ed0014224bc9..cdf1afa66a71 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
+ * Request message for
+ * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest}
@@ -256,8 +257,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -282,8 +285,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -634,7 +639,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
+   * Request message for
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest}
@@ -1298,8 +1304,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1323,8 +1331,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1348,8 +1358,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1372,8 +1384,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1392,8 +1406,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+     * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequestOrBuilder.java
index 5e8b93b8908f..3dfaf1e7938e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsRequestOrBuilder.java
@@ -154,8 +154,10 @@ public interface ListPipelineJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -169,8 +171,10 @@ public interface ListPipelineJobsRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+   * [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponse.java
index 263c627d08a9..df38acf6b517 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+ * Response message for
+ * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse}
@@ -145,7 +146,9 @@ public com.google.cloud.aiplatform.v1beta1.PipelineJobOrBuilder getPipelineJobsO
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -169,7 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+   * Response message for
+   * [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse}
@@ -955,7 +961,9 @@ public com.google.cloud.aiplatform.v1beta1.PipelineJob.Builder addPipelineJobsBu
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -978,7 +986,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1001,7 +1011,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1023,7 +1035,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1041,7 +1055,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponseOrBuilder.java
index dc5fdb895789..0177a7ec3752 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListPipelineJobsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface ListPipelineJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface ListPipelineJobsResponseOrBuilder
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesRequest.java
index 41f959f4cf6e..de7209e1167e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+ * Request message for
+ * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest}
@@ -554,7 +555,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+   * Request message for
+   * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesResponse.java
index 805de2d8a9b6..6734b9f8ea7a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSavedQueriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+ * Response message for
+ * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse}
@@ -362,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+   * Response message for
+   * [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequest.java
index 0299bbda9816..e81d3361c1f9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+ * Request message for
+ * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSpecialistPoolsRequest}
@@ -148,9 +149,11 @@ public int getPageSize() {
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -174,9 +177,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -438,7 +443,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+   * Request message for
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSpecialistPoolsRequest}
@@ -831,9 +837,11 @@ public Builder clearPageSize() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -856,9 +864,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -881,9 +891,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -905,9 +917,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
@@ -925,9 +939,11 @@ public Builder clearPageToken() {
      *
      * 
      * The standard list page token.
-     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-     * first page if empty.
+     * Typically obtained by
+     * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+     * of the previous
+     * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+     * call. Return first page if empty.
      * 

      *
      * string page_token = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequestOrBuilder.java
index 560c1bd52d7e..ba0e05be1f1d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsRequestOrBuilder.java
@@ -72,9 +72,11 @@ public interface ListSpecialistPoolsRequestOrBuilder
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
@@ -87,9 +89,11 @@ public interface ListSpecialistPoolsRequestOrBuilder
    *
    * 
    * The standard list page token.
-   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-   * first page if empty.
+   * Typically obtained by
+   * [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+   * of the previous
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+   * call. Return first page if empty.
    * 

    *
    * string page_token = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsResponse.java
index e8832e5f47cd..cb1ecda34946 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListSpecialistPoolsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+ * Response message for
+ * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse}
@@ -363,7 +364,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+   * Response message for
+   * [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesRequest.java
index 9afb7224cb94..2b87fca69dac 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+ * Request message for
+ * [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListStudiesRequest}
@@ -375,7 +376,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+   * Request message for
+   * [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListStudiesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesResponse.java
index 487a121cd90f..06577c08eb9e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListStudiesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+ * Response message for
+ * [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListStudiesResponse}
@@ -365,7 +366,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+   * Response message for
+   * [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListStudiesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequest.java
index b470c12cba6d..b0402b9cd4b4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+ * Request message for
+ * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest}
@@ -77,8 +78,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -104,8 +105,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -185,8 +186,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    * 
    * The maximum number of TensorboardExperiments to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardExperiments will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardExperiments are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -205,11 +206,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -233,11 +234,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -567,7 +568,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+   * Request message for
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest}
@@ -816,8 +818,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -842,8 +844,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -868,8 +870,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -893,8 +895,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -914,8 +916,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-     * Format:
+     * Required. The resource name of the Tensorboard to list
+     * TensorboardExperiments. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
      * 

      *
@@ -1050,8 +1052,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1068,8 +1070,8 @@ public int getPageSize() {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1089,8 +1091,8 @@ public Builder setPageSize(int value) {
      * 
      * The maximum number of TensorboardExperiments to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardExperiments will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardExperiments are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1110,11 +1112,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1137,11 +1139,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1164,11 +1166,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1190,11 +1192,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1212,11 +1214,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequestOrBuilder.java
index bed2beb8eff3..14ad61b8c851 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Tensorboard to list TensorboardExperiments.
-   * Format:
+   * Required. The resource name of the Tensorboard to list
+   * TensorboardExperiments. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
    * 

    *
@@ -87,8 +87,8 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    * 
    * The maximum number of TensorboardExperiments to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardExperiments will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardExperiments are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -102,11 +102,11 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardExperimentsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponse.java
index 335e6f2719df..ac630f2958ad 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+ * Response message for
+ * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse}
@@ -160,8 +161,9 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardExperiment getTensorboardE
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -185,8 +187,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -385,7 +388,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+   * Response message for
+   * [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse}
@@ -1032,8 +1036,9 @@ public Builder removeTensorboardExperiments(int index) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1056,8 +1061,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1080,8 +1086,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1103,8 +1110,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1122,8 +1130,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponseOrBuilder.java
index c10a4375ff63..66f8ab02772a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardExperimentsResponseOrBuilder.java
@@ -92,8 +92,9 @@ public interface ListTensorboardExperimentsResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -106,8 +107,9 @@ public interface ListTensorboardExperimentsResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequest.java
index d0682dd34381..fdd110f7df8b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+ * Request message for
+ * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest}
@@ -76,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -103,8 +104,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -183,8 +184,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of TensorboardRuns to return. The service may return
-   * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-   * returned. The maximum value is 1000; values above 1000 will be coerced to
+   * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+   * returned. The maximum value is 1000; values above 1000 are coerced to
    * 1000.
    * 

    *
@@ -204,11 +205,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -232,11 +233,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -565,7 +566,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+   * Request message for
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest}
@@ -810,8 +812,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -836,8 +838,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -862,8 +864,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -887,8 +889,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -908,8 +910,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-     * Format:
+     * Required. The resource name of the TensorboardExperiment to list
+     * TensorboardRuns. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
      * 

      *
@@ -1043,8 +1045,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1061,8 +1063,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1082,8 +1084,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of TensorboardRuns to return. The service may return
-     * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-     * returned. The maximum value is 1000; values above 1000 will be coerced to
+     * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+     * returned. The maximum value is 1000; values above 1000 are coerced to
      * 1000.
      * 

      *
@@ -1104,11 +1106,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1131,11 +1133,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1158,11 +1160,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1184,11 +1186,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1206,11 +1208,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequestOrBuilder.java
index 471a9a1f8e6b..d176232947d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-   * Format:
+   * Required. The resource name of the TensorboardExperiment to list
+   * TensorboardRuns. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
    * 

    *
@@ -86,8 +86,8 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * The maximum number of TensorboardRuns to return. The service may return
-   * fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-   * returned. The maximum value is 1000; values above 1000 will be coerced to
+   * fewer than this value. If unspecified, at most 50 TensorboardRuns are
+   * returned. The maximum value is 1000; values above 1000 are coerced to
    * 1000.
    * 

    *
@@ -102,11 +102,11 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardRunsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponse.java
index 87caabe4a35c..d1f7f7185420 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+ * Response message for
+ * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse}
@@ -145,9 +146,10 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRunOrBuilder getTensorboar
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -170,9 +172,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -367,7 +370,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+   * Response message for
+   * [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse}
@@ -964,9 +968,10 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun.Builder addTensorboard
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -988,9 +993,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1012,9 +1018,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1035,9 +1042,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1054,9 +1062,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponseOrBuilder.java
index 56d7b830968b..f3772b661a4d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardRunsResponseOrBuilder.java
@@ -80,9 +80,10 @@ com.google.cloud.aiplatform.v1beta1.TensorboardRunOrBuilder getTensorboardRunsOr
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -94,9 +95,10 @@ com.google.cloud.aiplatform.v1beta1.TensorboardRunOrBuilder getTensorboardRunsOr
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequest.java
index 54e3911c7d2b..a5c3dfe487a9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest}
@@ -77,8 +78,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -104,8 +105,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -185,8 +186,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    * 
    * The maximum number of TensorboardTimeSeries to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardTimeSeries are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -205,11 +206,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -233,11 +234,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -567,7 +568,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest}
@@ -816,8 +818,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -842,8 +844,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -868,8 +870,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -893,8 +895,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -914,8 +916,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-     * Format:
+     * Required. The resource name of the TensorboardRun to list
+     * TensorboardTimeSeries. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -1050,8 +1052,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1068,8 +1070,8 @@ public int getPageSize() {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1089,8 +1091,8 @@ public Builder setPageSize(int value) {
      * 
      * The maximum number of TensorboardTimeSeries to return. The service may
      * return fewer than this value. If unspecified, at most 50
-     * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-     * above 1000 will be coerced to 1000.
+     * TensorboardTimeSeries are returned. The maximum value is 1000; values
+     * above 1000 are coerced to 1000.
      * 

      *
      * int32 page_size = 3;
@@ -1110,11 +1112,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1137,11 +1139,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1164,11 +1166,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1190,11 +1192,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1212,11 +1214,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequestOrBuilder.java
index d58402f58224..6d5471e208e7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -43,8 +43,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-   * Format:
+   * Required. The resource name of the TensorboardRun to list
+   * TensorboardTimeSeries. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -87,8 +87,8 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    * 
    * The maximum number of TensorboardTimeSeries to return. The service may
    * return fewer than this value. If unspecified, at most 50
-   * TensorboardTimeSeries will be returned. The maximum value is 1000; values
-   * above 1000 will be coerced to 1000.
+   * TensorboardTimeSeries are returned. The maximum value is 1000; values
+   * above 1000 are coerced to 1000.
    * 

    *
    * int32 page_size = 3;
@@ -102,11 +102,11 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardTimeSeriesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponse.java
index a95b9217003e..14965a4d5ee5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+ * Response message for
+ * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse}
@@ -160,8 +161,9 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries getTensorboardT
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -185,8 +187,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -384,7 +387,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+   * Response message for
+   * [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse}
@@ -1030,8 +1034,9 @@ public Builder removeTensorboardTimeSeries(int index) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1054,8 +1059,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1078,8 +1084,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1101,8 +1108,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1120,8 +1128,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token, which can be sent as
-     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponseOrBuilder.java
index 6e938a17b662..33da1e7db201 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardTimeSeriesResponseOrBuilder.java
@@ -92,8 +92,9 @@ public interface ListTensorboardTimeSeriesResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -106,8 +107,9 @@ public interface ListTensorboardTimeSeriesResponseOrBuilder
    *
    * 
    * A token, which can be sent as
-   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequest.java
index c8ab3428edff..e01558a1e89b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+ * Request message for
+ * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardsRequest}
@@ -183,8 +184,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
    *
    * 
    * The maximum number of Tensorboards to return. The service may return
-   * fewer than this value. If unspecified, at most 100 Tensorboards will be
-   * returned. The maximum value is 100; values above 100 will be coerced to
+   * fewer than this value. If unspecified, at most 100 Tensorboards are
+   * returned. The maximum value is 100; values above 100 are coerced to
    * 100.
    * 

    *
@@ -204,11 +205,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -232,11 +233,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -565,7 +566,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+   * Request message for
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardsRequest}
@@ -1041,8 +1043,8 @@ public Builder setFilterBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1059,8 +1061,8 @@ public int getPageSize() {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1080,8 +1082,8 @@ public Builder setPageSize(int value) {
      *
      * 
      * The maximum number of Tensorboards to return. The service may return
-     * fewer than this value. If unspecified, at most 100 Tensorboards will be
-     * returned. The maximum value is 100; values above 100 will be coerced to
+     * fewer than this value. If unspecified, at most 100 Tensorboards are
+     * returned. The maximum value is 100; values above 100 are coerced to
      * 100.
      * 

      *
@@ -1102,11 +1104,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1129,11 +1131,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1156,11 +1158,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1182,11 +1184,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
@@ -1204,11 +1206,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-     * Provide this to retrieve the subsequent page.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-     * match the call that provided the page token.
+     * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+     * must match the call that provided the page token.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequestOrBuilder.java
index 518af18e5d79..4a5dc0f59fe7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsRequestOrBuilder.java
@@ -86,8 +86,8 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * The maximum number of Tensorboards to return. The service may return
-   * fewer than this value. If unspecified, at most 100 Tensorboards will be
-   * returned. The maximum value is 100; values above 100 will be coerced to
+   * fewer than this value. If unspecified, at most 100 Tensorboards are
+   * returned. The maximum value is 100; values above 100 are coerced to
    * 100.
    * 

    *
@@ -102,11 +102,11 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
@@ -119,11 +119,11 @@ public interface ListTensorboardsRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-   * Provide this to retrieve the subsequent page.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-   * match the call that provided the page token.
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+   * must match the call that provided the page token.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponse.java
index 35f488cf0508..48ef06c07f72 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+ * Response message for
+ * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardsResponse}
@@ -144,7 +145,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardOrBuilder getTensorboardsO
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -169,7 +171,8 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -366,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+   * Response message for
+   * [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTensorboardsResponse}
@@ -956,7 +960,8 @@ public com.google.cloud.aiplatform.v1beta1.Tensorboard.Builder addTensorboardsBu
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -980,7 +985,8 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -1004,7 +1010,8 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -1027,7 +1034,8 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

@@ -1046,7 +1054,8 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+     * A token, which can be sent as
+     * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
      * to retrieve the next page. If this field is omitted, there are no
      * subsequent pages.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponseOrBuilder.java
index 17a6e68aae57..f65efaa2ebbf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTensorboardsResponseOrBuilder.java
@@ -79,7 +79,8 @@ public interface ListTensorboardsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

@@ -93,7 +94,8 @@ public interface ListTensorboardsResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+   * A token, which can be sent as
+   * [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
    * to retrieve the next page. If this field is omitted, there are no
    * subsequent pages.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequest.java
index de5ddc57eb4c..33d32a83dc1e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
+ * Request message for
+ * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -101,8 +102,8 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -229,8 +230,10 @@ public int getPageSize() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -255,8 +258,10 @@ public java.lang.String getPageToken() {
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -527,7 +532,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
+   * Request message for
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest}
@@ -760,8 +766,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -785,8 +791,8 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -810,8 +816,8 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -834,8 +840,8 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -854,8 +860,8 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The resource name of the Location to list the TrainingPipelines from.
-     * Format: `projects/{project}/locations/{location}`
+     * Required. The resource name of the Location to list the TrainingPipelines
+     * from. Format: `projects/{project}/locations/{location}`
      * 

      *
      * 
@@ -1116,8 +1122,10 @@ public Builder clearPageSize() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1141,8 +1149,10 @@ public java.lang.String getPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1166,8 +1176,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1190,8 +1202,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
@@ -1210,8 +1224,10 @@ public Builder clearPageToken() {
      * 
      * The standard list page token.
      * Typically obtained via
-     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+     * of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+     * call.
      * 

      *
      * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequestOrBuilder.java
index 0fff62bbceaa..baa487598c9d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface ListTrainingPipelinesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface ListTrainingPipelinesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Location to list the TrainingPipelines from.
-   * Format: `projects/{project}/locations/{location}`
+   * Required. The resource name of the Location to list the TrainingPipelines
+   * from. Format: `projects/{project}/locations/{location}`
    * 

    *
    * 
@@ -128,8 +128,10 @@ public interface ListTrainingPipelinesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
@@ -143,8 +145,10 @@ public interface ListTrainingPipelinesRequestOrBuilder
    * 
    * The standard list page token.
    * Typically obtained via
-   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+   * of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+   * call.
    * 

    *
    * string page_token = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponse.java
index 9677a7b4dbfe..37ed735bd784 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+ * Response message for
+ * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse}
@@ -146,7 +147,9 @@ public com.google.cloud.aiplatform.v1beta1.TrainingPipeline getTrainingPipelines
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -170,7 +173,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -367,7 +372,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+   * Response message for
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse}
@@ -986,7 +992,9 @@ public com.google.cloud.aiplatform.v1beta1.TrainingPipeline.Builder addTrainingP
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1009,7 +1017,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1032,7 +1042,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1054,7 +1066,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1072,7 +1086,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve the next page of results.
-     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * Pass to
+     * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponseOrBuilder.java
index 5774b7ab3263..3cfe600619b4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrainingPipelinesResponseOrBuilder.java
@@ -81,7 +81,9 @@ com.google.cloud.aiplatform.v1beta1.TrainingPipelineOrBuilder getTrainingPipelin
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -94,7 +96,9 @@ com.google.cloud.aiplatform.v1beta1.TrainingPipelineOrBuilder getTrainingPipelin
    *
    * 
    * A token to retrieve the next page of results.
-   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * Pass to
+   * [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsRequest.java
index 995005ed7c11..3e72bcb4c123 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+ * Request message for
+ * [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrialsRequest}
@@ -375,7 +376,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+   * Request message for
+   * [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsResponse.java
index 7400a2f43d58..52a09f1ab3c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+ * Response message for
+ * [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrialsResponse}
@@ -365,7 +366,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+   * Response message for
+   * [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ListTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/LookupStudyRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/LookupStudyRequest.java
index 6dd66c86bd1c..91aca04ce5f4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/LookupStudyRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/LookupStudyRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
+ * Request message for
+ * [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.LookupStudyRequest}
@@ -345,7 +346,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
+   * Request message for
+   * [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.LookupStudyRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
index 292492999dcc..1bad106f23ed 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
@@ -79,9 +79,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+   * field is optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+   * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+   * this field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -109,9 +111,11 @@ public java.lang.String getMachineType() {
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+   * field is optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+   * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+   * this field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -137,7 +141,8 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
    * 

    *
@@ -155,7 +160,8 @@ public int getAcceleratorTypeValue() {
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
    * 

    *
@@ -579,9 +585,11 @@ public Builder mergeFrom(
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+     * field is optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+     * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+     * this field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -608,9 +616,11 @@ public java.lang.String getMachineType() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+     * field is optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+     * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+     * this field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -637,9 +647,11 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+     * field is optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+     * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+     * this field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -665,9 +677,11 @@ public Builder setMachineType(java.lang.String value) {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+     * field is optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+     * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+     * this field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -689,9 +703,11 @@ public Builder clearMachineType() {
      * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
      * See the [list of machine types supported for custom
      * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-     * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+     * field is optional, and the default value is `n1-standard-2`. For
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+     * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+     * this field is required.
      * 

      *
      * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -715,7 +731,8 @@ public Builder setMachineTypeBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      * 

      *
@@ -733,7 +750,8 @@ public int getAcceleratorTypeValue() {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      * 

      *
@@ -754,7 +772,8 @@ public Builder setAcceleratorTypeValue(int value) {
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      * 

      *
@@ -777,7 +796,8 @@ public com.google.cloud.aiplatform.v1beta1.AcceleratorType getAcceleratorType()
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      * 

      *
@@ -801,7 +821,8 @@ public Builder setAcceleratorType(com.google.cloud.aiplatform.v1beta1.Accelerato
      *
      *
      * 
-     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * Immutable. The type of accelerator(s) that may be attached to the machine
+     * as per
      * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
index 1fb4fbbcc4e9..811fe1762f95 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
@@ -32,9 +32,11 @@ public interface MachineSpecOrBuilder
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+   * field is optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+   * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+   * this field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -51,9 +53,11 @@ public interface MachineSpecOrBuilder
    * prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
    * See the [list of machine types supported for custom
    * training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-   * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+   * field is optional, and the default value is `n1-standard-2`. For
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+   * as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+   * this field is required.
    * 

    *
    * string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
@@ -66,7 +70,8 @@ public interface MachineSpecOrBuilder
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
    * 

    *
@@ -81,7 +86,8 @@ public interface MachineSpecOrBuilder
    *
    *
    * 
-   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * Immutable. The type of accelerator(s) that may be attached to the machine
+   * as per
    * [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParameters.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParameters.java
index 6f7a1b71e7e0..3fc4697669fd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParameters.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParameters.java
@@ -71,11 +71,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. The number of the records (e.g. instances) of the operation given in
-   * each batch to a machine replica. Machine type, and size of a single
-   * record should be considered when setting this parameter, higher value
-   * speeds up the batch operation's execution, but too high value will result
-   * in a whole batch not fitting in a machine's memory, and the whole
+   * Immutable. The number of the records (e.g. instances) of the operation
+   * given in each batch to a machine replica. Machine type, and size of a
+   * single record should be considered when setting this parameter, higher
+   * value speeds up the batch operation's execution, but too high value will
+   * result in a whole batch not fitting in a machine's memory, and the whole
    * operation will fail.
    * The default value is 64.
    * 

@@ -427,11 +427,11 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

@@ -448,11 +448,11 @@ public int getBatchSize() {
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

@@ -472,11 +472,11 @@ public Builder setBatchSize(int value) {
      *
      *
      * 
-     * Immutable. The number of the records (e.g. instances) of the operation given in
-     * each batch to a machine replica. Machine type, and size of a single
-     * record should be considered when setting this parameter, higher value
-     * speeds up the batch operation's execution, but too high value will result
-     * in a whole batch not fitting in a machine's memory, and the whole
+     * Immutable. The number of the records (e.g. instances) of the operation
+     * given in each batch to a machine replica. Machine type, and size of a
+     * single record should be considered when setting this parameter, higher
+     * value speeds up the batch operation's execution, but too high value will
+     * result in a whole batch not fitting in a machine's memory, and the whole
      * operation will fail.
      * The default value is 64.
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParametersOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParametersOrBuilder.java
index 3c63193ff0b0..a760ad7da2d6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParametersOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ManualBatchTuningParametersOrBuilder.java
@@ -27,11 +27,11 @@ public interface ManualBatchTuningParametersOrBuilder
    *
    *
    * 
-   * Immutable. The number of the records (e.g. instances) of the operation given in
-   * each batch to a machine replica. Machine type, and size of a single
-   * record should be considered when setting this parameter, higher value
-   * speeds up the batch operation's execution, but too high value will result
-   * in a whole batch not fitting in a machine's memory, and the whole
+   * Immutable. The number of the records (e.g. instances) of the operation
+   * given in each batch to a machine replica. Machine type, and size of a
+   * single record should be considered when setting this parameter, higher
+   * value speeds up the batch operation's execution, but too high value will
+   * result in a whole batch not fitting in a machine's memory, and the whole
    * operation will fail.
    * The default value is 64.
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Measurement.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Measurement.java
index 98a49f56b2f9..c539eff61ba2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Measurement.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Measurement.java
@@ -825,7 +825,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric getDefaultInstance
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -842,7 +843,8 @@ public boolean hasElapsedDuration() {
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -861,7 +863,8 @@ public com.google.protobuf.Duration getElapsedDuration() {
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -879,8 +882,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
    *
    *
    * 
-   * Output only. The number of steps the machine learning model has been trained for.
-   * Must be non-negative.
+   * Output only. The number of steps the machine learning model has been
+   * trained for. Must be non-negative.
    * 

    *
    * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -898,8 +901,8 @@ public long getStepCount() {
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -914,8 +917,8 @@ public java.util.List ge
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -931,8 +934,8 @@ public java.util.List ge
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -947,8 +950,8 @@ public int getMetricsCount() {
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -963,8 +966,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric getMetrics(int ind
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -1423,7 +1426,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1439,7 +1443,8 @@ public boolean hasElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1461,7 +1466,8 @@ public com.google.protobuf.Duration getElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1485,7 +1491,8 @@ public Builder setElapsedDuration(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1506,7 +1513,8 @@ public Builder setElapsedDuration(com.google.protobuf.Duration.Builder builderFo
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1534,7 +1542,8 @@ public Builder mergeElapsedDuration(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1556,7 +1565,8 @@ public Builder clearElapsedDuration() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1572,7 +1582,8 @@ public com.google.protobuf.Duration.Builder getElapsedDurationBuilder() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1592,7 +1603,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
      *
      *
      * 
-     * Output only. Time that the Trial has been running at the point of this Measurement.
+     * Output only. Time that the Trial has been running at the point of this
+     * Measurement.
      * 

      *
      * 
@@ -1621,8 +1633,8 @@ public com.google.protobuf.DurationOrBuilder getElapsedDurationOrBuilder() {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1637,8 +1649,8 @@ public long getStepCount() {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1656,8 +1668,8 @@ public Builder setStepCount(long value) {
      *
      *
      * 
-     * Output only. The number of steps the machine learning model has been trained for.
-     * Must be non-negative.
+     * Output only. The number of steps the machine learning model has been
+     * trained for. Must be non-negative.
      * 

      *
      * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1693,8 +1705,8 @@ private void ensureMetricsIsMutable() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1712,8 +1724,8 @@ public java.util.List ge
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1731,8 +1743,8 @@ public int getMetricsCount() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1750,8 +1762,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric getMetrics(int ind
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1776,8 +1788,8 @@ public Builder setMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1799,8 +1811,8 @@ public Builder setMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1824,8 +1836,8 @@ public Builder addMetrics(com.google.cloud.aiplatform.v1beta1.Measurement.Metric
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1850,8 +1862,8 @@ public Builder addMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1873,8 +1885,8 @@ public Builder addMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1896,8 +1908,8 @@ public Builder addMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1920,8 +1932,8 @@ public Builder addAllMetrics(
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1942,8 +1954,8 @@ public Builder clearMetrics() {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1964,8 +1976,8 @@ public Builder removeMetrics(int index) {
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -1980,8 +1992,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric.Builder getMetrics
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2000,8 +2012,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.MetricOrBuilder getMetric
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2020,8 +2032,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.MetricOrBuilder getMetric
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2036,8 +2048,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric.Builder addMetrics
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
@@ -2054,8 +2066,8 @@ public com.google.cloud.aiplatform.v1beta1.Measurement.Metric.Builder addMetrics
      *
      *
      * 
-     * Output only. A list of metrics got by evaluating the objective functions using suggested
-     * Parameter values.
+     * Output only. A list of metrics got by evaluating the objective functions
+     * using suggested Parameter values.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MeasurementOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MeasurementOrBuilder.java
index 39bb679ca431..8288aaa41d52 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MeasurementOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MeasurementOrBuilder.java
@@ -27,7 +27,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -41,7 +42,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -55,7 +57,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. Time that the Trial has been running at the point of this Measurement.
+   * Output only. Time that the Trial has been running at the point of this
+   * Measurement.
    * 

    *
    * 
@@ -68,8 +71,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. The number of steps the machine learning model has been trained for.
-   * Must be non-negative.
+   * Output only. The number of steps the machine learning model has been
+   * trained for. Must be non-negative.
    * 

    *
    * int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -82,8 +85,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -95,8 +98,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -108,8 +111,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -121,8 +124,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
@@ -135,8 +138,8 @@ public interface MeasurementOrBuilder
    *
    *
    * 
-   * Output only. A list of metrics got by evaluating the objective functions using suggested
-   * Parameter values.
+   * Output only. A list of metrics got by evaluating the objective functions
+   * using suggested Parameter values.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MergeVersionAliasesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MergeVersionAliasesRequest.java
index 0371b58e4b62..27d2512ca21b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MergeVersionAliasesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MergeVersionAliasesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
+ * Request message for
+ * [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest}
@@ -406,7 +407,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
+   * Request message for
+   * [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchema.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchema.java
index 3b063727bf04..304bd4468192 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchema.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchema.java
@@ -363,9 +363,9 @@ public com.google.protobuf.ByteString getSchemaVersionBytes() {
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -391,9 +391,9 @@ public java.lang.String getSchema() {
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1240,9 +1240,9 @@ public Builder setSchemaVersionBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1267,9 +1267,9 @@ public java.lang.String getSchema() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1294,9 +1294,9 @@ public com.google.protobuf.ByteString getSchemaBytes() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1320,9 +1320,9 @@ public Builder setSchema(java.lang.String value) {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -1342,9 +1342,9 @@ public Builder clearSchema() {
      *
      *
      * 
-     * Required. The raw YAML string representation of the MetadataSchema. The combination
-     * of [MetadataSchema.version] and the schema name given by `title` in
-     * [MetadataSchema.schema] must be unique within a MetadataStore.
+     * Required. The raw YAML string representation of the MetadataSchema. The
+     * combination of [MetadataSchema.version] and the schema name given by
+     * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
      * The schema is defined as an OpenAPI 3.0.2
      * [MetadataSchema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchemaOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchemaOrBuilder.java
index e7521f21b646..f96fd219e749 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchemaOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MetadataSchemaOrBuilder.java
@@ -81,9 +81,9 @@ public interface MetadataSchemaOrBuilder
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
@@ -98,9 +98,9 @@ public interface MetadataSchemaOrBuilder
    *
    *
    * 
-   * Required. The raw YAML string representation of the MetadataSchema. The combination
-   * of [MetadataSchema.version] and the schema name given by `title` in
-   * [MetadataSchema.schema] must be unique within a MetadataStore.
+   * Required. The raw YAML string representation of the MetadataSchema. The
+   * combination of [MetadataSchema.version] and the schema name given by
+   * `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
    * The schema is defined as an OpenAPI 3.0.2
    * [MetadataSchema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResource.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResource.java
index 7a5d2a5cb6b2..a00f47f301b6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResource.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResource.java
@@ -5543,9 +5543,9 @@ public boolean hasDataLabelingDataset() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -5562,9 +5562,9 @@ public boolean hasLastMigrateTime() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -5583,9 +5583,9 @@ public com.google.protobuf.Timestamp getLastMigrateTime() {
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -7202,9 +7202,9 @@ public Builder clearDataLabelingDataset() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7220,9 +7220,9 @@ public boolean hasLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7244,9 +7244,9 @@ public com.google.protobuf.Timestamp getLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7270,9 +7270,9 @@ public Builder setLastMigrateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7293,9 +7293,9 @@ public Builder setLastMigrateTime(com.google.protobuf.Timestamp.Builder builderF
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7323,9 +7323,9 @@ public Builder mergeLastMigrateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7347,9 +7347,9 @@ public Builder clearLastMigrateTime() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7365,9 +7365,9 @@ public com.google.protobuf.Timestamp.Builder getLastMigrateTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
@@ -7387,9 +7387,9 @@ public com.google.protobuf.TimestampOrBuilder getLastMigrateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when the last migration attempt on this MigratableResource
-     * started. Will not be set if there's no migration attempt on this
-     * MigratableResource.
+     * Output only. Timestamp when the last migration attempt on this
+     * MigratableResource started. Will not be set if there's no migration attempt
+     * on this MigratableResource.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResourceOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResourceOrBuilder.java
index 16359b4dbd69..1c57ba71e2fc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResourceOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigratableResourceOrBuilder.java
@@ -197,9 +197,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -213,9 +213,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
@@ -229,9 +229,9 @@ public interface MigratableResourceOrBuilder
    *
    *
    * 
-   * Output only. Timestamp when the last migration attempt on this MigratableResource
-   * started. Will not be set if there's no migration attempt on this
-   * MigratableResource.
+   * Output only. Timestamp when the last migration attempt on this
+   * MigratableResource started. Will not be set if there's no migration attempt
+   * on this MigratableResource.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrateResourceRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrateResourceRequest.java
index da48629ef244..3331618c0648 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrateResourceRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrateResourceRequest.java
@@ -75,9 +75,8 @@ public interface MigrateMlEngineModelVersionConfigOrBuilder
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -93,9 +92,8 @@ public interface MigrateMlEngineModelVersionConfigOrBuilder
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -228,9 +226,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -257,9 +254,8 @@ public java.lang.String getEndpoint() {
      *
      *
      * 
-     * Required. The ml.googleapis.com endpoint that this model version should be migrated
-     * from.
-     * Example values:
+     * Required. The ml.googleapis.com endpoint that this model version should
+     * be migrated from. Example values:
      * * ml.googleapis.com
      * * us-centrall-ml.googleapis.com
      * * europe-west4-ml.googleapis.com
@@ -823,9 +819,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -851,9 +846,8 @@ public java.lang.String getEndpoint() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -879,9 +873,8 @@ public com.google.protobuf.ByteString getEndpointBytes() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -906,9 +899,8 @@ public Builder setEndpoint(java.lang.String value) {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -929,9 +921,8 @@ public Builder clearEndpoint() {
        *
        *
        * 
-       * Required. The ml.googleapis.com endpoint that this model version should be migrated
-       * from.
-       * Example values:
+       * Required. The ml.googleapis.com endpoint that this model version should
+       * be migrated from. Example values:
        * * ml.googleapis.com
        * * us-centrall-ml.googleapis.com
        * * europe-west4-ml.googleapis.com
@@ -3192,9 +3183,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3209,9 +3200,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3225,9 +3216,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3239,9 +3230,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -3258,9 +3249,9 @@ public interface MigrateDataLabelingDatasetConfigOrBuilder
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4194,9 +4185,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4214,9 +4205,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4236,9 +4227,9 @@ public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4253,9 +4244,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -4272,9 +4263,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
      *
      *
      * 
-     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-     * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-     * to the datalabeling Dataset.
+     * Optional. Configs for migrating AnnotatedDataset in
+     * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+     * AnnotatedDatasets have to belong to the datalabeling Dataset.
      * 

      *
      * 
@@ -5050,9 +5041,9 @@ private void ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5074,9 +5065,9 @@ private void ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5094,9 +5085,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5116,9 +5107,9 @@ public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5146,9 +5137,9 @@ public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5175,9 +5166,9 @@ public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5204,9 +5195,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5234,9 +5225,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5261,9 +5252,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5290,9 +5281,9 @@ public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5320,9 +5311,9 @@ public Builder addAllMigrateDataLabelingAnnotatedDatasetConfigs(
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5343,9 +5334,9 @@ public Builder clearMigrateDataLabelingAnnotatedDatasetConfigs() {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5366,9 +5357,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5384,9 +5375,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5406,9 +5397,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5432,9 +5423,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5454,9 +5445,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
@@ -5477,9 +5468,9 @@ public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
        *
        *
        * 
-       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-       * Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-       * to the datalabeling Dataset.
+       * Optional. Configs for migrating AnnotatedDataset in
+       * datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+       * AnnotatedDatasets have to belong to the datalabeling Dataset.
        * 

        *
        * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
index 062eb797dd8e..70f31f50d17b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
@@ -117,8 +117,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that need a
-     * higher degree of manual configuration.
+     * Resources that are dedicated to the
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that
+     * need a higher degree of manual configuration.
      * 

      *
      * DEDICATED_RESOURCES = 1;
@@ -139,8 +140,11 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel].
-     * A pre-configured [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool] is required.
+     * Resources that can be shared by multiple
+     * [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]. A
+     * pre-configured
+     * [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool]
+     * is required.
      * 

      *
      * SHARED_RESOURCES = 3;
@@ -163,8 +167,9 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that need a
-     * higher degree of manual configuration.
+     * Resources that are dedicated to the
+     * [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that
+     * need a higher degree of manual configuration.
      * 

      *
      * DEDICATED_RESOURCES = 1;
@@ -185,8 +190,11 @@ public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessa
      *
      *
      * 
-     * Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel].
-     * A pre-configured [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool] is required.
+     * Resources that can be shared by multiple
+     * [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]. A
+     * pre-configured
+     * [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool]
+     * is required.
      * 

      *
      * SHARED_RESOURCES = 3;
@@ -491,7 +499,8 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * Model artifact and any of its supported files. Will be exported to the
        * location specified by the `artifactDestination` field of the
-       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * ARTIFACT = 1;
@@ -503,7 +512,9 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * The container image that is to be used when deploying this Model. Will
        * be exported to the location specified by the `imageDestination` field
-       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+       * of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * IMAGE = 2;
@@ -528,7 +539,8 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * Model artifact and any of its supported files. Will be exported to the
        * location specified by the `artifactDestination` field of the
-       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * ARTIFACT = 1;
@@ -540,7 +552,9 @@ public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum
        * 
        * The container image that is to be used when deploying this Model. Will
        * be exported to the location specified by the `imageDestination` field
-       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+       * of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+       * object.
        * 

        *
        * IMAGE = 2;
@@ -2195,7 +2209,9 @@ public com.google.protobuf.ByteString getVersionDescriptionBytes() {
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -2212,7 +2228,9 @@ public boolean hasPredictSchemata() {
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -2231,7 +2249,9 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata getPredictSchemata()
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -2248,10 +2268,10 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata getPredictSchemata()
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -2280,10 +2300,10 @@ public java.lang.String getMetadataSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -2315,8 +2335,9 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2332,8 +2353,9 @@ public boolean hasMetadata() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2349,8 +2371,9 @@ public com.google.protobuf.Value getMetadata() {
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -2368,8 +2391,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2385,8 +2408,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2402,8 +2425,8 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2418,8 +2441,8 @@ public int getSupportedExportFormatsCount() {
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2435,8 +2458,8 @@ public com.google.cloud.aiplatform.v1beta1.Model.ExportFormat getSupportedExport
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -2455,8 +2478,8 @@ public com.google.cloud.aiplatform.v1beta1.Model.ExportFormat getSupportedExport
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -2481,8 +2504,8 @@ public java.lang.String getTrainingPipeline() {
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -2510,10 +2533,10 @@ public com.google.protobuf.ByteString getTrainingPipelineBytes() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2531,10 +2554,10 @@ public boolean hasContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2554,10 +2577,10 @@ public com.google.cloud.aiplatform.v1beta1.ModelContainerSpec getContainerSpec()
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -2577,9 +2600,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelContainerSpec getContainerSpec()
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2602,9 +2624,8 @@ public java.lang.String getArtifactUri() {
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2646,16 +2667,22 @@ public com.google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType convert
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -2676,16 +2703,22 @@ public com.google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType convert
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -2703,16 +2736,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -2733,16 +2772,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -2761,16 +2806,22 @@ public java.util.List getSupportedDeploymentResourcesTypesVal
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -2796,9 +2847,10 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2806,10 +2858,12 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2819,11 +2873,16 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -2841,9 +2900,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2851,10 +2911,12 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2864,11 +2926,16 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -2886,9 +2953,10 @@ public int getSupportedInputStorageFormatsCount() {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2896,10 +2964,12 @@ public int getSupportedInputStorageFormatsCount() {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2909,11 +2979,16 @@ public int getSupportedInputStorageFormatsCount() {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -2932,9 +3007,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -2942,10 +3018,12 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -2955,11 +3033,16 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -2981,12 +3064,14 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3001,9 +3086,13 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -3021,12 +3110,14 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3041,9 +3132,13 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -3061,12 +3156,14 @@ public int getSupportedOutputStorageFormatsCount() {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3081,9 +3178,13 @@ public int getSupportedOutputStorageFormatsCount() {
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -3102,12 +3203,14 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -3122,9 +3225,13 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -3243,8 +3350,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3260,8 +3367,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3277,8 +3384,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3293,8 +3400,8 @@ public int getDeployedModelsCount() {
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3309,8 +3416,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef getDeployedModels(in
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -3332,21 +3439,27 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -3365,21 +3478,27 @@ public boolean hasExplanationSpec() {
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -3400,21 +3519,27 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -3648,8 +3773,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryption
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3666,8 +3791,8 @@ public boolean hasModelSourceInfo() {
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3686,8 +3811,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo getModelSourceInfo()
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -3706,8 +3831,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo getModelSourceInfo()
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -3731,8 +3857,9 @@ public java.lang.String getMetadataArtifact() {
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -6228,7 +6355,9 @@ public Builder setVersionDescriptionBytes(com.google.protobuf.ByteString value)
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6244,7 +6373,9 @@ public boolean hasPredictSchemata() {
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6266,7 +6397,9 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata getPredictSchemata()
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6290,7 +6423,9 @@ public Builder setPredictSchemata(com.google.cloud.aiplatform.v1beta1.PredictSch
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6312,7 +6447,9 @@ public Builder setPredictSchemata(
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6340,7 +6477,9 @@ public Builder mergePredictSchemata(com.google.cloud.aiplatform.v1beta1.PredictS
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6362,7 +6501,9 @@ public Builder clearPredictSchemata() {
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6378,7 +6519,9 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata.Builder getPredictSch
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6399,7 +6542,9 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata.Builder getPredictSch
      * 
      * The schemata that describe formats of the Model's predictions and
      * explanations as given and returned via
-     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * and
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
      * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -6426,10 +6571,10 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata.Builder getPredictSch
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6457,10 +6602,10 @@ public java.lang.String getMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6488,10 +6633,10 @@ public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6518,10 +6663,10 @@ public Builder setMetadataSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6544,10 +6689,10 @@ public Builder clearMetadataSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-     * information about the Model, that is specific to it. Unset if the Model
-     * does not have any additional information.
-     * The schema is defined as an OpenAPI 3.0.2 [Schema
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * additional information about the Model, that is specific to it. Unset if
+     * the Model does not have any additional information. The schema is defined
+     * as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * AutoML Models always have this field populated by Vertex AI, if no
      * additional metadata is needed, this field is set to an empty string.
@@ -6582,8 +6727,9 @@ public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6598,8 +6744,9 @@ public boolean hasMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6618,8 +6765,9 @@ public com.google.protobuf.Value getMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6642,8 +6790,9 @@ public Builder setMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6663,8 +6812,9 @@ public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6689,8 +6839,9 @@ public Builder mergeMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6711,8 +6862,9 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6727,8 +6879,9 @@ public com.google.protobuf.Value.Builder getMetadataBuilder() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6745,8 +6898,9 @@ public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
      *
      *
      * 
-     * Immutable. An additional information about the Model; the schema of the metadata can
-     * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+     * Immutable. An additional information about the Model; the schema of the
+     * metadata can be found in
+     * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
      * Unset if the Model does not have any additional information.
      * 

      *
@@ -6791,8 +6945,8 @@ private void ensureSupportedExportFormatsIsMutable() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6811,8 +6965,8 @@ private void ensureSupportedExportFormatsIsMutable() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6830,8 +6984,8 @@ public int getSupportedExportFormatsCount() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6850,8 +7004,8 @@ public com.google.cloud.aiplatform.v1beta1.Model.ExportFormat getSupportedExport
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6876,8 +7030,8 @@ public Builder setSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6899,8 +7053,8 @@ public Builder setSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6925,8 +7079,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6951,8 +7105,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6974,8 +7128,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -6997,8 +7151,8 @@ public Builder addSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7021,8 +7175,8 @@ public Builder addAllSupportedExportFormats(
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7043,8 +7197,8 @@ public Builder clearSupportedExportFormats() {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7065,8 +7219,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7081,8 +7235,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7101,8 +7255,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7121,8 +7275,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7138,8 +7292,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7156,8 +7310,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The formats in which this Model may be exported. If empty, this Model is
-     * not available for export.
+     * Output only. The formats in which this Model may be exported. If empty,
+     * this Model is not available for export.
      * 

      *
      * 
@@ -7194,8 +7348,8 @@ public Builder removeSupportedExportFormats(int index) {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7219,8 +7373,8 @@ public java.lang.String getTrainingPipeline() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7244,8 +7398,8 @@ public com.google.protobuf.ByteString getTrainingPipelineBytes() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7268,8 +7422,8 @@ public Builder setTrainingPipeline(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7288,8 +7442,8 @@ public Builder clearTrainingPipeline() {
      *
      *
      * 
-     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-     * any.
+     * Output only. The resource name of the TrainingPipeline that uploaded this
+     * Model, if any.
      * 

      *
      * 
@@ -7320,10 +7474,10 @@ public Builder setTrainingPipelineBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7340,10 +7494,10 @@ public boolean hasContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7366,10 +7520,10 @@ public com.google.cloud.aiplatform.v1beta1.ModelContainerSpec getContainerSpec()
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7394,10 +7548,10 @@ public Builder setContainerSpec(com.google.cloud.aiplatform.v1beta1.ModelContain
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7420,10 +7574,10 @@ public Builder setContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7453,10 +7607,10 @@ public Builder mergeContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7479,10 +7633,10 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7500,10 +7654,10 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7525,10 +7679,10 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model. The specification is ingested upon
-     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-     * and stored internally by Vertex AI.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * and all binaries it contains are copied and stored internally by Vertex AI.
      * Not present for AutoML Models.
      * 

      *
@@ -7558,9 +7712,8 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7582,9 +7735,8 @@ public java.lang.String getArtifactUri() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7606,9 +7758,8 @@ public com.google.protobuf.ByteString getArtifactUriBytes() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7629,9 +7780,8 @@ public Builder setArtifactUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7648,9 +7798,8 @@ public Builder clearArtifactUri() {
      *
      *
      * 
-     * Immutable. The path to the directory containing the Model artifact and any of its
-     * supporting files.
-     * Not present for AutoML Models.
+     * Immutable. The path to the directory containing the Model artifact and any
+     * of its supporting files. Not present for AutoML Models.
      * 

      *
      * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -7683,16 +7832,22 @@ private void ensureSupportedDeploymentResourcesTypesIsMutable() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7712,16 +7867,22 @@ private void ensureSupportedDeploymentResourcesTypesIsMutable() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7738,16 +7899,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7767,16 +7934,22 @@ public int getSupportedDeploymentResourcesTypesCount() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7802,16 +7975,22 @@ public Builder setSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7836,16 +8015,22 @@ public Builder addSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7871,16 +8056,22 @@ public Builder addAllSupportedDeploymentResourcesTypes(
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7900,16 +8091,22 @@ public Builder clearSupportedDeploymentResourcesTypes() {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7927,16 +8124,22 @@ public java.util.List getSupportedDeploymentResourcesTypesVal
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7955,16 +8158,22 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -7986,16 +8195,22 @@ public Builder setSupportedDeploymentResourcesTypesValue(int index, int value) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -8016,16 +8231,22 @@ public Builder addSupportedDeploymentResourcesTypesValue(int value) {
      *
      *
      * 
-     * Output only. When this Model is deployed, its prediction resources are described by the
-     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-     * Because not all Models support all resource configuration types, the
-     * configuration types this Model supports are listed here. If no
+     * Output only. When this Model is deployed, its prediction resources are
+     * described by the `prediction_resources` field of the
+     * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+     * object. Because not all Models support all resource configuration types,
+     * the configuration types this Model supports are listed here. If no
      * configuration types are listed, the Model cannot be deployed to an
      * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-     * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+     * online predictions
+     * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
+     * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+     * Such a Model can serve predictions by using a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+     * if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+     * and
      * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
      * 

      *
@@ -8062,9 +8283,10 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8072,10 +8294,12 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8085,11 +8309,16 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8107,9 +8336,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8117,10 +8347,12 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8130,11 +8362,16 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8152,9 +8389,10 @@ public int getSupportedInputStorageFormatsCount() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8162,10 +8400,12 @@ public int getSupportedInputStorageFormatsCount() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8175,11 +8415,16 @@ public int getSupportedInputStorageFormatsCount() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8198,9 +8443,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8208,10 +8454,12 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8221,11 +8469,16 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8244,9 +8497,10 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8254,10 +8508,12 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8267,11 +8523,16 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8297,9 +8558,10 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8307,10 +8569,12 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8320,11 +8584,16 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8349,9 +8618,10 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8359,10 +8629,12 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8372,11 +8644,16 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8398,9 +8675,10 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8408,10 +8686,12 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable
      *
@@ -8446,9 +8731,10 @@ public Builder clearSupportedInputStorageFormats() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-     * should be given as per that schema.
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+     * If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * exists, the instances should be given as per that schema.
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each instance is a single line. Uses
@@ -8456,10 +8742,12 @@ public Builder clearSupportedInputStorageFormats() {
      * * `csv`
      * The CSV format, where each instance is a single comma-separated line.
      * The first line in the file is the header, containing comma-separated field
-     * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * names. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record`
      * The TFRecord format, where each instance is a single record in tfrecord
-     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+     * syntax. Uses
+     * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
      * * `tf-record-gzip`
      * Similar to `tf-record`, but the file is gzipped. Uses
      * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -8469,11 +8757,16 @@ public Builder clearSupportedInputStorageFormats() {
      * * `file-list`
      * Each line of the file is the location of an instance to process, uses
      * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+     * object.
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8510,12 +8803,14 @@ private void ensureSupportedOutputStorageFormatsIsMutable() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8530,9 +8825,13 @@ private void ensureSupportedOutputStorageFormatsIsMutable() {
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8550,12 +8849,14 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8570,9 +8871,13 @@ public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsLi
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8590,12 +8895,14 @@ public int getSupportedOutputStorageFormatsCount() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8610,9 +8917,13 @@ public int getSupportedOutputStorageFormatsCount() {
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8631,12 +8942,14 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8651,9 +8964,13 @@ public java.lang.String getSupportedOutputStorageFormats(int index) {
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8672,12 +8989,14 @@ public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8692,9 +9011,13 @@ public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8720,12 +9043,14 @@ public Builder setSupportedOutputStorageFormats(int index, java.lang.String valu
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8740,9 +9065,13 @@ public Builder setSupportedOutputStorageFormats(int index, java.lang.String valu
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8767,12 +9096,14 @@ public Builder addSupportedOutputStorageFormats(java.lang.String value) {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8787,9 +9118,13 @@ public Builder addSupportedOutputStorageFormats(java.lang.String value) {
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8813,12 +9148,14 @@ public Builder addAllSupportedOutputStorageFormats(
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8833,9 +9170,13 @@ public Builder addAllSupportedOutputStorageFormats(
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -8856,12 +9197,14 @@ public Builder clearSupportedOutputStorageFormats() {
      *
      * 
      * Output only. The formats this Model supports in
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-     * are returned together with their instances. In other words, the
-     * prediction has the original instance data first, followed
-     * by the actual prediction content (as per the schema).
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+     * If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+     * and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+     * exist, the predictions are returned together with their instances. In other
+     * words, the prediction has the original instance data first, followed by the
+     * actual prediction content (as per the schema).
      * The possible formats are:
      * * `jsonl`
      * The JSON Lines format, where each prediction is a single line. Uses
@@ -8876,9 +9219,13 @@ public Builder clearSupportedOutputStorageFormats() {
      * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
      * .
      * If this Model doesn't support any of these formats it means it cannot be
-     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+     * used with a
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+     * it could serve online predictions by using
+     * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * or
      * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
      * 

      *
@@ -9324,8 +9671,8 @@ private void ensureDeployedModelsIsMutable() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9344,8 +9691,8 @@ private void ensureDeployedModelsIsMutable() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9363,8 +9710,8 @@ public int getDeployedModelsCount() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9382,8 +9729,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef getDeployedModels(in
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9408,8 +9755,8 @@ public Builder setDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9431,8 +9778,8 @@ public Builder setDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9456,8 +9803,8 @@ public Builder addDeployedModels(com.google.cloud.aiplatform.v1beta1.DeployedMod
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9482,8 +9829,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9505,8 +9852,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9528,8 +9875,8 @@ public Builder addDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9551,8 +9898,8 @@ public Builder addAllDeployedModels(
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9573,8 +9920,8 @@ public Builder clearDeployedModels() {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9595,8 +9942,8 @@ public Builder removeDeployedModels(int index) {
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9611,8 +9958,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder getDeployedM
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9631,8 +9978,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9651,8 +9998,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9667,8 +10014,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9685,8 +10032,8 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      *
      *
      * 
-     * Output only. The pointers to DeployedModels created from this Model. Note that
-     * Model could have been deployed to Endpoints in different Locations.
+     * Output only. The pointers to DeployedModels created from this Model. Note
+     * that Model could have been deployed to Endpoints in different Locations.
      * 

      *
      * 
@@ -9731,21 +10078,27 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9763,21 +10116,27 @@ public boolean hasExplanationSpec() {
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9801,21 +10160,27 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9841,21 +10206,27 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9879,21 +10250,27 @@ public Builder setExplanationSpec(
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9923,21 +10300,27 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9961,21 +10344,27 @@ public Builder clearExplanationSpec() {
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -9993,21 +10382,27 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -10030,21 +10425,27 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      * The default explanation specification for this Model.
      * The Model can be used for [requesting
      * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-     * The Model can be used for [batch
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+     * it is populated. The Model can be used for [batch
      * explanation][BatchPredictionJob.generate_explanation] if it is populated.
      * All fields of the explanation_spec can be overridden by
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+     * or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * If the default explanation specification is not set for this Model, this
      * Model can still be used for [requesting
      * explanation][PredictionService.Explain] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-     * explanation][BatchPredictionJob.generate_explanation] by setting
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+     * of
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+     * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+     * setting
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+     * of
      * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * 

      *
@@ -10570,8 +10971,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10587,8 +10988,8 @@ public boolean hasModelSourceInfo() {
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10610,8 +11011,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo getModelSourceInfo()
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10635,8 +11036,8 @@ public Builder setModelSourceInfo(com.google.cloud.aiplatform.v1beta1.ModelSourc
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10658,8 +11059,8 @@ public Builder setModelSourceInfo(
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10687,8 +11088,8 @@ public Builder mergeModelSourceInfo(com.google.cloud.aiplatform.v1beta1.ModelSou
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10710,8 +11111,8 @@ public Builder clearModelSourceInfo() {
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10727,8 +11128,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo.Builder getModelSourc
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10749,8 +11150,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo.Builder getModelSourc
      *
      *
      * 
-     * Output only. Source of a model. It can either be automl training pipeline, custom
-     * training pipeline, BigQuery ML, or existing Vertex AI Model.
+     * Output only. Source of a model. It can either be automl training pipeline,
+     * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
      * 

      *
      * 
@@ -10779,8 +11180,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelSourceInfo.Builder getModelSourc
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10803,8 +11205,9 @@ public java.lang.String getMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10827,8 +11230,9 @@ public com.google.protobuf.ByteString getMetadataArtifactBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10850,8 +11254,9 @@ public Builder setMetadataArtifact(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
@@ -10869,8 +11274,9 @@ public Builder clearMetadataArtifact() {
      *
      *
      * 
-     * Output only. The resource name of the Artifact that was created in MetadataStore when
-     * creating the Model. The Artifact resource name pattern is
+     * Output only. The resource name of the Artifact that was created in
+     * MetadataStore when creating the Model. The Artifact resource name pattern
+     * is
      * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
index 3f4de6990504..64daf1a8e425 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
@@ -81,13 +81,15 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -118,13 +120,15 @@ public java.lang.String getImageUri() {
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -158,17 +162,19 @@ public com.google.protobuf.ByteString getImageUriBytes() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -178,9 +184,10 @@ public com.google.protobuf.ByteString getImageUriBytes() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -204,17 +211,19 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -224,9 +233,10 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -250,17 +260,19 @@ public int getCommandCount() {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -270,9 +282,10 @@ public int getCommandCount() {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -297,17 +310,19 @@ public java.lang.String getCommand(int index) {
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -317,9 +332,10 @@ public java.lang.String getCommand(int index) {
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -347,15 +363,15 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -367,9 +383,10 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -393,15 +410,15 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -413,9 +430,10 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -439,15 +457,15 @@ public int getArgsCount() {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -459,9 +477,10 @@ public int getArgsCount() {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -486,15 +505,15 @@ public java.lang.String getArgs(int index) {
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -506,9 +525,10 @@ public java.lang.String getArgs(int index) {
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -536,13 +556,15 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -574,13 +596,15 @@ public java.util.List getEnvList() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -613,13 +637,15 @@ public java.util.List getEnvList() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -651,13 +677,15 @@ public int getEnvCount() {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -689,13 +717,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVar getEnv(int index) {
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -894,18 +924,19 @@ public com.google.cloud.aiplatform.v1beta1.PortOrBuilder getPortsOrBuilder(int i
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -913,7 +944,9 @@ public com.google.cloud.aiplatform.v1beta1.PortOrBuilder getPortsOrBuilder(int i
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -939,18 +972,19 @@ public java.lang.String getPredictRoute() {
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -958,7 +992,9 @@ public java.lang.String getPredictRoute() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -997,7 +1033,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -1005,7 +1042,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -1041,7 +1080,8 @@ public java.lang.String getHealthRoute() {
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -1049,7 +1089,9 @@ public java.lang.String getHealthRoute() {
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -1671,13 +1713,15 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1707,13 +1751,15 @@ public java.lang.String getImageUri() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1743,13 +1789,15 @@ public com.google.protobuf.ByteString getImageUriBytes() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1778,13 +1826,15 @@ public Builder setImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1809,13 +1859,15 @@ public Builder clearImageUri() {
      *
      *
      * 
-     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-     * predictions. This URI must identify an image in Artifact Registry or
-     * Container Registry. Learn more about the [container publishing
+     * Required. Immutable. URI of the Docker image to be used as the custom
+     * container for serving predictions. This URI must identify an image in
+     * Artifact Registry or Container Registry. Learn more about the [container
+     * publishing
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
      * including permissions requirements for the Vertex AI Service Agent.
-     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-     * internally, and this original path is afterwards not used.
+     * The container image is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+     * stored internally, and this original path is afterwards not used.
      * To learn about the requirements for the Docker image itself, see
      * [Custom container
      * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -1855,17 +1907,19 @@ private void ensureCommandIsMutable() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -1875,9 +1929,10 @@ private void ensureCommandIsMutable() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -1901,17 +1956,19 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -1921,9 +1978,10 @@ public com.google.protobuf.ProtocolStringList getCommandList() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -1947,17 +2005,19 @@ public int getCommandCount() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -1967,9 +2027,10 @@ public int getCommandCount() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -1994,17 +2055,19 @@ public java.lang.String getCommand(int index) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2014,9 +2077,10 @@ public java.lang.String getCommand(int index) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2041,17 +2105,19 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2061,9 +2127,10 @@ public com.google.protobuf.ByteString getCommandBytes(int index) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2095,17 +2162,19 @@ public Builder setCommand(int index, java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2115,9 +2184,10 @@ public Builder setCommand(int index, java.lang.String value) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2148,17 +2218,19 @@ public Builder addCommand(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2168,9 +2240,10 @@ public Builder addCommand(java.lang.String value) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2198,17 +2271,19 @@ public Builder addAllCommand(java.lang.Iterable values) {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2218,9 +2293,10 @@ public Builder addAllCommand(java.lang.Iterable values) {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2247,17 +2323,19 @@ public Builder clearCommand() {
      *
      *
      * 
-     * Immutable. Specifies the command that runs when the container starts. This overrides
-     * the container's
+     * Immutable. Specifies the command that runs when the container starts. This
+     * overrides the container's
      * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
      * Specify this field as an array of executable and arguments, similar to a
      * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
      * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-     * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-     * if either exists. If this field is not specified and the container does not
-     * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-     * `CMD` and `ENTRYPOINT`
+     * in conjunction with the
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+     * the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+     * exists. If this field is not specified and the container does not have an
+     * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+     * `ENTRYPOINT`
      * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
      * If you specify this field, then you can also specify the `args` field to
      * provide additional arguments for this command. However, if you specify this
@@ -2267,9 +2345,10 @@ public Builder clearCommand() {
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * In this field, you can reference [environment variables set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2311,15 +2390,15 @@ private void ensureArgsIsMutable() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2331,9 +2410,10 @@ private void ensureArgsIsMutable() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2357,15 +2437,15 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2377,9 +2457,10 @@ public com.google.protobuf.ProtocolStringList getArgsList() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2403,15 +2484,15 @@ public int getArgsCount() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2423,9 +2504,10 @@ public int getArgsCount() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2450,15 +2532,15 @@ public java.lang.String getArgs(int index) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2470,9 +2552,10 @@ public java.lang.String getArgs(int index) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2497,15 +2580,15 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2517,9 +2600,10 @@ public com.google.protobuf.ByteString getArgsBytes(int index) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2551,15 +2635,15 @@ public Builder setArgs(int index, java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2571,9 +2655,10 @@ public Builder setArgs(int index, java.lang.String value) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2604,15 +2689,15 @@ public Builder addArgs(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2624,9 +2709,10 @@ public Builder addArgs(java.lang.String value) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2654,15 +2740,15 @@ public Builder addAllArgs(java.lang.Iterable values) {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2674,9 +2760,10 @@ public Builder addAllArgs(java.lang.Iterable values) {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2703,15 +2790,15 @@ public Builder clearArgs() {
      *
      *
      * 
-     * Immutable. Specifies arguments for the command that runs when the container starts.
-     * This overrides the container's
+     * Immutable. Specifies arguments for the command that runs when the container
+     * starts. This overrides the container's
      * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
      * this field as an array of executable and arguments, similar to a Docker
      * `CMD`'s "default parameters" form.
      * If you don't specify this field but do specify the
-     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-     * `command` field runs without any additional arguments. See the
-     * [Kubernetes documentation about how the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+     * field, then the command from the `command` field runs without any
+     * additional arguments. See the [Kubernetes documentation about how the
      * `command` and `args` fields interact with a container's `ENTRYPOINT` and
      * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
      * If you don't specify this field and don't specify the `command` field,
@@ -2723,9 +2810,10 @@ public Builder clearArgs() {
      * In this field, you can reference [environment variables
      * set by Vertex
      * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-     * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-     * You cannot reference environment variables set in the Docker image. In
-     * order for environment variables to be expanded, reference them by using the
+     * and environment variables set in the
+     * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+     * cannot reference environment variables set in the Docker image. In order
+     * for environment variables to be expanded, reference them by using the
      * following syntax:
      * <code>$(<var>VARIABLE_NAME</var>)</code>
      * Note that this differs from Bash variable expansion, which does not use
@@ -2774,13 +2862,15 @@ private void ensureEnvIsMutable() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2815,13 +2905,15 @@ public java.util.List getEnvList() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2856,13 +2948,15 @@ public int getEnvCount() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2897,13 +2991,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVar getEnv(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2944,13 +3040,15 @@ public Builder setEnv(int index, com.google.cloud.aiplatform.v1beta1.EnvVar valu
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -2989,13 +3087,15 @@ public Builder setEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3036,13 +3136,15 @@ public Builder addEnv(com.google.cloud.aiplatform.v1beta1.EnvVar value) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3083,13 +3185,15 @@ public Builder addEnv(int index, com.google.cloud.aiplatform.v1beta1.EnvVar valu
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3127,13 +3231,15 @@ public Builder addEnv(com.google.cloud.aiplatform.v1beta1.EnvVar.Builder builder
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3172,13 +3278,15 @@ public Builder addEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3217,13 +3325,15 @@ public Builder addAllEnv(
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3261,13 +3371,15 @@ public Builder clearEnv() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3305,13 +3417,15 @@ public Builder removeEnv(int index) {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3342,13 +3456,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVar.Builder getEnvBuilder(int inde
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3383,13 +3499,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVarOrBuilder getEnvOrBuilder(int i
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3425,13 +3543,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVarOrBuilder getEnvOrBuilder(int i
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3463,13 +3583,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVar.Builder addEnvBuilder() {
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -3501,13 +3623,15 @@ public com.google.cloud.aiplatform.v1beta1.EnvVar.Builder addEnvBuilder(int inde
      *
      *
      * 
-     * Immutable. List of environment variables to set in the container. After the container
-     * starts running, code running in the container can read these environment
-     * variables.
-     * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-     * entries in this list can also reference earlier entries. For example, the
-     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * Immutable. List of environment variables to set in the container. After the
+     * container starts running, code running in the container can read these
+     * environment variables.
+     * Additionally, the
+     * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+     * reference these variables. Later entries in this list can also reference
+     * earlier entries. For example, the following example sets the variable
+     * `VAR_2` to have the value `foo bar`:
      * ```json
      * [
      *   {
@@ -4247,18 +4371,19 @@ public java.util.List getPorts
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4266,7 +4391,9 @@ public java.util.List getPorts
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4291,18 +4418,19 @@ public java.lang.String getPredictRoute() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4310,7 +4438,9 @@ public java.lang.String getPredictRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4335,18 +4465,19 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4354,7 +4485,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4378,18 +4511,19 @@ public Builder setPredictRoute(java.lang.String value) {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4397,7 +4531,9 @@ public Builder setPredictRoute(java.lang.String value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4417,18 +4553,19 @@ public Builder clearPredictRoute() {
      *
      *
      * 
-     * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-     * forwards requests sent using
-     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-     * path on the container's IP address and port. Vertex AI then returns the
-     * container's response in the API response.
+     * Immutable. HTTP path on the container to send prediction requests to.
+     * Vertex AI forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+     * to this path on the container's IP address and port. Vertex AI then returns
+     * the container's response in the API response.
      * For example, if you set this field to `/foo`, then when Vertex AI
      * receives a prediction request, it forwards the request body in a POST
      * request to the `/foo` path on the port of your container specified by the
      * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4436,7 +4573,9 @@ public Builder clearPredictRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code
      *   as the [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4473,7 +4612,8 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4481,7 +4621,9 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4516,7 +4658,8 @@ public java.lang.String getHealthRoute() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4524,7 +4667,9 @@ public java.lang.String getHealthRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4559,7 +4704,8 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4567,7 +4713,9 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4601,7 +4749,8 @@ public Builder setHealthRoute(java.lang.String value) {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4609,7 +4758,9 @@ public Builder setHealthRoute(java.lang.String value) {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -4639,7 +4790,8 @@ public Builder clearHealthRoute() {
      * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
-     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+     * you [deploy this Model to an
+     * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
      * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
      * The placeholders in this value are replaced as follows:
      * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -4647,7 +4799,9 @@ public Builder clearHealthRoute() {
      *   deployed. (Vertex AI makes this value available to your container code
      *   as the [`AIP_ENDPOINT_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-     * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+     * * <var>DEPLOYED_MODEL</var>:
+     * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+     * `DeployedModel`.
      *   (Vertex AI makes this value available to your container code as the
      *   [`AIP_DEPLOYED_MODEL_ID` environment
      *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
index 583c24ba6f6b..09159569dac2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
@@ -27,13 +27,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -53,13 +55,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
-   * predictions. This URI must identify an image in Artifact Registry or
-   * Container Registry. Learn more about the [container publishing
+   * Required. Immutable. URI of the Docker image to be used as the custom
+   * container for serving predictions. This URI must identify an image in
+   * Artifact Registry or Container Registry. Learn more about the [container
+   * publishing
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
    * including permissions requirements for the Vertex AI Service Agent.
-   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-   * internally, and this original path is afterwards not used.
+   * The container image is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * stored internally, and this original path is afterwards not used.
    * To learn about the requirements for the Docker image itself, see
    * [Custom container
    * requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
@@ -80,17 +84,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -100,9 +106,10 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -124,17 +131,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -144,9 +153,10 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -168,17 +178,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -188,9 +200,10 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -213,17 +226,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies the command that runs when the container starts. This overrides
-   * the container's
+   * Immutable. Specifies the command that runs when the container starts. This
+   * overrides the container's
    * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
    * Specify this field as an array of executable and arguments, similar to a
    * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
    * If you do not specify this field, then the container's `ENTRYPOINT` runs,
-   * in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-   * if either exists. If this field is not specified and the container does not
-   * have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-   * `CMD` and `ENTRYPOINT`
+   * in conjunction with the
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+   * the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+   * exists. If this field is not specified and the container does not have an
+   * `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+   * `ENTRYPOINT`
    * interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
    * If you specify this field, then you can also specify the `args` field to
    * provide additional arguments for this command. However, if you specify this
@@ -233,9 +248,10 @@ public interface ModelContainerSpecOrBuilder
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * In this field, you can reference [environment variables set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -259,15 +275,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -279,9 +295,10 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -303,15 +320,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -323,9 +340,10 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -347,15 +365,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -367,9 +385,10 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -392,15 +411,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. Specifies arguments for the command that runs when the container starts.
-   * This overrides the container's
+   * Immutable. Specifies arguments for the command that runs when the container
+   * starts. This overrides the container's
    * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
    * this field as an array of executable and arguments, similar to a Docker
    * `CMD`'s "default parameters" form.
    * If you don't specify this field but do specify the
-   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-   * `command` field runs without any additional arguments. See the
-   * [Kubernetes documentation about how the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+   * field, then the command from the `command` field runs without any
+   * additional arguments. See the [Kubernetes documentation about how the
    * `command` and `args` fields interact with a container's `ENTRYPOINT` and
    * `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
    * If you don't specify this field and don't specify the `command` field,
@@ -412,9 +431,10 @@ public interface ModelContainerSpecOrBuilder
    * In this field, you can reference [environment variables
    * set by Vertex
    * AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-   * and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-   * You cannot reference environment variables set in the Docker image. In
-   * order for environment variables to be expanded, reference them by using the
+   * and environment variables set in the
+   * [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+   * cannot reference environment variables set in the Docker image. In order
+   * for environment variables to be expanded, reference them by using the
    * following syntax:
    * <code>$(<var>VARIABLE_NAME</var>)</code>
    * Note that this differs from Bash variable expansion, which does not use
@@ -438,13 +458,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -473,13 +495,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -508,13 +532,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -543,13 +569,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -579,13 +607,15 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. List of environment variables to set in the container. After the container
-   * starts running, code running in the container can read these environment
-   * variables.
-   * Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-   * entries in this list can also reference earlier entries. For example, the
-   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * Immutable. List of environment variables to set in the container. After the
+   * container starts running, code running in the container can read these
+   * environment variables.
+   * Additionally, the
+   * [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+   * reference these variables. Later entries in this list can also reference
+   * earlier entries. For example, the following example sets the variable
+   * `VAR_2` to have the value `foo bar`:
    * ```json
    * [
    *   {
@@ -762,18 +792,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -781,7 +812,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -796,18 +829,19 @@ public interface ModelContainerSpecOrBuilder
    *
    *
    * 
-   * Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-   * forwards requests sent using
-   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-   * path on the container's IP address and port. Vertex AI then returns the
-   * container's response in the API response.
+   * Immutable. HTTP path on the container to send prediction requests to.
+   * Vertex AI forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * to this path on the container's IP address and port. Vertex AI then returns
+   * the container's response in the API response.
    * For example, if you set this field to `/foo`, then when Vertex AI
    * receives a prediction request, it forwards the request body in a POST
    * request to the `/foo` path on the port of your container specified by the
    * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -815,7 +849,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code
    *   as the [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -841,7 +877,8 @@ public interface ModelContainerSpecOrBuilder
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -849,7 +886,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -874,7 +913,8 @@ public interface ModelContainerSpecOrBuilder
    * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
-   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+   * you [deploy this Model to an
+   * Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
    * <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
    * The placeholders in this value are replaced as follows:
    * * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
@@ -882,7 +922,9 @@ public interface ModelContainerSpecOrBuilder
    *   deployed. (Vertex AI makes this value available to your container code
    *   as the [`AIP_ENDPOINT_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
-   * * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+   * * <var>DEPLOYED_MODEL</var>:
+   * [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+   * `DeployedModel`.
    *   (Vertex AI makes this value available to your container code as the
    *   [`AIP_DEPLOYED_MODEL_ID` environment
    *   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJob.java
index 27ae152cdf4c..169445bee0aa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJob.java
@@ -1688,8 +1688,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1706,8 +1706,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1725,8 +1725,8 @@ public boolean hasLatestMonitoringPipelineMetadata() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1741,8 +1741,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -1758,8 +1758,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -2003,10 +2003,12 @@ public com.google.protobuf.ByteString getPredictInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2021,10 +2023,12 @@ public boolean hasSamplePredictInstance() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2041,10 +2045,12 @@ public com.google.protobuf.Value getSamplePredictInstance() {
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -2128,9 +2134,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2148,9 +2154,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2170,9 +2176,9 @@ public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2189,9 +2195,9 @@ public int getBigqueryTablesCount() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2209,9 +2215,9 @@ public int getBigqueryTablesCount() {
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -2451,7 +2457,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2467,7 +2474,8 @@ public boolean hasUpdateTime() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2483,7 +2491,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2500,8 +2509,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -2518,8 +2527,8 @@ public boolean hasNextScheduleTime() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -2538,8 +2547,8 @@ public com.google.protobuf.Timestamp getNextScheduleTime() {
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -4697,8 +4706,8 @@ private void ensureModelDeploymentMonitoringObjectiveConfigsIsMutable() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4718,8 +4727,8 @@ private void ensureModelDeploymentMonitoringObjectiveConfigsIsMutable() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4737,8 +4746,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4757,8 +4766,8 @@ public int getModelDeploymentMonitoringObjectiveConfigsCount() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4784,8 +4793,8 @@ public Builder setModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4810,8 +4819,8 @@ public Builder setModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4836,8 +4845,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4863,8 +4872,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4887,8 +4896,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4913,8 +4922,8 @@ public Builder addModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4940,8 +4949,8 @@ public Builder addAllModelDeploymentMonitoringObjectiveConfigs(
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4962,8 +4971,8 @@ public Builder clearModelDeploymentMonitoringObjectiveConfigs() {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -4984,8 +4993,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5000,8 +5009,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5020,8 +5029,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5043,8 +5052,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5062,8 +5071,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5082,8 +5091,8 @@ public Builder removeModelDeploymentMonitoringObjectiveConfigs(int index) {
      *
      *
      * 
-     * Required. The config for monitoring objectives. This is a per DeployedModel config.
-     * Each DeployedModel needs to be configured separately.
+     * Required. The config for monitoring objectives. This is a per DeployedModel
+     * config. Each DeployedModel needs to be configured separately.
      * 

      *
      * 
@@ -5885,10 +5894,12 @@ public Builder setPredictInstanceSchemaUriBytes(com.google.protobuf.ByteString v
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5902,10 +5913,12 @@ public boolean hasSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5925,10 +5938,12 @@ public com.google.protobuf.Value getSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5950,10 +5965,12 @@ public Builder setSamplePredictInstance(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -5972,10 +5989,12 @@ public Builder setSamplePredictInstance(com.google.protobuf.Value.Builder builde
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6001,10 +6020,12 @@ public Builder mergeSamplePredictInstance(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6024,10 +6045,12 @@ public Builder clearSamplePredictInstance() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6041,10 +6064,12 @@ public com.google.protobuf.Value.Builder getSamplePredictInstanceBuilder() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6062,10 +6087,12 @@ public com.google.protobuf.ValueOrBuilder getSamplePredictInstanceOrBuilder() {
      *
      *
      * 
-     * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * Sample Predict instance, same format as
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
      * this can be set as a replacement of
-     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-     * we will generate predict schema from collected predict requests.
+     * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+     * If not set, we will generate predict schema from collected predict
+     * requests.
      * 

      *
      * .google.protobuf.Value sample_predict_instance = 19;
@@ -6262,9 +6289,9 @@ private void ensureBigqueryTablesIsMutable() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6286,9 +6313,9 @@ private void ensureBigqueryTablesIsMutable() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6308,9 +6335,9 @@ public int getBigqueryTablesCount() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6331,9 +6358,9 @@ public int getBigqueryTablesCount() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6361,9 +6388,9 @@ public Builder setBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6389,9 +6416,9 @@ public Builder setBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6418,9 +6445,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6448,9 +6475,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6475,9 +6502,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6503,9 +6530,9 @@ public Builder addBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6532,9 +6559,9 @@ public Builder addAllBigqueryTables(
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6557,9 +6584,9 @@ public Builder clearBigqueryTables() {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6582,9 +6609,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6601,9 +6628,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6624,9 +6651,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6649,9 +6676,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6671,9 +6698,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -6694,9 +6721,9 @@ public Builder removeBigqueryTables(int index) {
      *
      *
      * 
-     * Output only. The created bigquery tables for the job under customer project. Customer
-     * could do their own query & analysis. There could be 4 log tables in
-     * maximum:
+     * Output only. The created bigquery tables for the job under customer
+     * project. Customer could do their own query & analysis. There could be 4 log
+     * tables in maximum:
      * 1. Training data logging predict request/response
      * 2. Serving data logging predict request/response
      * 

@@ -7333,7 +7360,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7349,7 +7377,8 @@ public boolean hasUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7371,7 +7400,8 @@ public com.google.protobuf.Timestamp getUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7395,7 +7425,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7416,7 +7447,8 @@ public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForVal
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7442,7 +7474,8 @@ public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7464,7 +7497,8 @@ public Builder clearUpdateTime() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7480,7 +7514,8 @@ public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7500,7 +7535,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+     * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+     * most recently.
      * 

      *
      * 
@@ -7534,8 +7570,8 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7551,8 +7587,8 @@ public boolean hasNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7574,8 +7610,8 @@ public com.google.protobuf.Timestamp getNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7599,8 +7635,8 @@ public Builder setNextScheduleTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7621,8 +7657,8 @@ public Builder setNextScheduleTime(com.google.protobuf.Timestamp.Builder builder
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7650,8 +7686,8 @@ public Builder mergeNextScheduleTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7673,8 +7709,8 @@ public Builder clearNextScheduleTime() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7690,8 +7726,8 @@ public com.google.protobuf.Timestamp.Builder getNextScheduleTimeBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
@@ -7711,8 +7747,8 @@ public com.google.protobuf.TimestampOrBuilder getNextScheduleTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-     * next round.
+     * Output only. Timestamp when this monitoring pipeline will be scheduled to
+     * run for the next round.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJobOrBuilder.java
index b3d6cf61a382..de3194e0cc33 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringJobOrBuilder.java
@@ -225,8 +225,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -239,8 +239,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -253,8 +253,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -266,8 +266,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -282,8 +282,8 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Required. The config for monitoring objectives. This is a per DeployedModel config.
-   * Each DeployedModel needs to be configured separately.
+   * Required. The config for monitoring objectives. This is a per DeployedModel
+   * config. Each DeployedModel needs to be configured separately.
    * 

    *
    * 
@@ -455,10 +455,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -470,10 +472,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -485,10 +489,12 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * Sample Predict instance, same format as
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
    * this can be set as a replacement of
-   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-   * we will generate predict schema from collected predict requests.
+   * [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+   * If not set, we will generate predict schema from collected predict
+   * requests.
    * 

    *
    * .google.protobuf.Value sample_predict_instance = 19;
@@ -542,9 +548,9 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -559,9 +565,9 @@ public interface ModelDeploymentMonitoringJobOrBuilder
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -576,9 +582,9 @@ com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable getBi
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -592,9 +598,9 @@ com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable getBi
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -611,9 +617,9 @@ com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable getBi
    *
    *
    * 
-   * Output only. The created bigquery tables for the job under customer project. Customer
-   * could do their own query & analysis. There could be 4 log tables in
-   * maximum:
+   * Output only. The created bigquery tables for the job under customer
+   * project. Customer could do their own query & analysis. There could be 4 log
+   * tables in maximum:
    * 1. Training data logging predict request/response
    * 2. Serving data logging predict request/response
    * 

@@ -792,7 +798,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -805,7 +812,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -818,7 +826,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
+   * Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+   * most recently.
    * 

    *
    * .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -830,8 +839,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -845,8 +854,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
@@ -860,8 +869,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-   * next round.
+   * Output only. Timestamp when this monitoring pipeline will be scheduled to
+   * run for the next round.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfig.java
index c8de3c6cfb0b..ab91152d555f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfig.java
@@ -74,8 +74,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -91,8 +92,9 @@ public boolean hasMonitorInterval() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -110,8 +112,9 @@ public com.google.protobuf.Duration getMonitorInterval() {
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -131,10 +134,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -153,10 +156,10 @@ public boolean hasMonitorWindow() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -177,10 +180,10 @@ public com.google.protobuf.Duration getMonitorWindow() {
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -595,8 +598,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -612,8 +616,9 @@ public boolean hasMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -635,8 +640,9 @@ public com.google.protobuf.Duration getMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -660,8 +666,9 @@ public Builder setMonitorInterval(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -682,8 +689,9 @@ public Builder setMonitorInterval(com.google.protobuf.Duration.Builder builderFo
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -711,8 +719,9 @@ public Builder mergeMonitorInterval(com.google.protobuf.Duration value) {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -734,8 +743,9 @@ public Builder clearMonitorInterval() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -751,8 +761,9 @@ public com.google.protobuf.Duration.Builder getMonitorIntervalBuilder() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -772,8 +783,9 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
      *
      *
      * 
-     * Required. The model monitoring job scheduling interval. It will be rounded up to next
-     * full hour. This defines how often the monitoring jobs are triggered.
+     * Required. The model monitoring job scheduling interval. It will be rounded
+     * up to next full hour. This defines how often the monitoring jobs are
+     * triggered.
      * 

      *
      * 
@@ -810,10 +822,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorIntervalOrBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -831,10 +843,10 @@ public boolean hasMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -858,10 +870,10 @@ public com.google.protobuf.Duration getMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -887,10 +899,10 @@ public Builder setMonitorWindow(com.google.protobuf.Duration value) {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -913,10 +925,10 @@ public Builder setMonitorWindow(com.google.protobuf.Duration.Builder builderForV
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -946,10 +958,10 @@ public Builder mergeMonitorWindow(com.google.protobuf.Duration value) {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -973,10 +985,10 @@ public Builder clearMonitorWindow() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -994,10 +1006,10 @@ public com.google.protobuf.Duration.Builder getMonitorWindowBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
@@ -1019,10 +1031,10 @@ public com.google.protobuf.DurationOrBuilder getMonitorWindowOrBuilder() {
      * The time window of the prediction data being included in each prediction
      * dataset. This window specifies how long the data should be collected from
      * historical model results for each run. If not set,
-     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-     * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-     * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-     * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+     * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+     * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+     * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+     * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
      * monitoring statistics.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
index db1bb96a96c7..84cd652b69ab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelDeploymentMonitoringScheduleConfigOrBuilder.java
@@ -27,8 +27,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -41,8 +42,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -55,8 +57,9 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    *
    *
    * 
-   * Required. The model monitoring job scheduling interval. It will be rounded up to next
-   * full hour. This defines how often the monitoring jobs are triggered.
+   * Required. The model monitoring job scheduling interval. It will be rounded
+   * up to next full hour. This defines how often the monitoring jobs are
+   * triggered.
    * 

    *
    * .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -71,10 +74,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -90,10 +93,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
@@ -109,10 +112,10 @@ public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
    * The time window of the prediction data being included in each prediction
    * dataset. This window specifies how long the data should be collected from
    * historical model results for each run. If not set,
-   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-   * e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-   * monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-   * to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+   * [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+   * will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+   * the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+   * 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
    * monitoring statistics.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
index 73d9ae19907f..a214ab7b013a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
@@ -1170,8 +1170,8 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1196,8 +1196,8 @@ public java.lang.String getMetricsSchemaUri() {
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1324,8 +1324,8 @@ public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1341,8 +1341,8 @@ public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1358,8 +1358,8 @@ public int getSliceDimensionsCount() {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1376,8 +1376,8 @@ public java.lang.String getSliceDimensions(int index) {
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -1452,8 +1452,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1470,8 +1471,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1490,8 +1492,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1506,8 +1509,9 @@ public int getExplanationSpecsCount() {
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -1523,8 +1527,9 @@ public int getExplanationSpecsCount() {
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -2435,8 +2440,8 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2460,8 +2465,8 @@ public java.lang.String getMetricsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2485,8 +2490,8 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2509,8 +2514,8 @@ public Builder setMetricsSchemaUri(java.lang.String value) {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2529,8 +2534,8 @@ public Builder clearMetricsSchemaUri() {
      *
      * 
      * Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-     * defined as an OpenAPI 3.0.2 [Schema
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+     * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2953,8 +2958,8 @@ private void ensureSliceDimensionsIsMutable() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -2970,8 +2975,8 @@ public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -2987,8 +2992,8 @@ public int getSliceDimensionsCount() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3005,8 +3010,8 @@ public java.lang.String getSliceDimensions(int index) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3023,8 +3028,8 @@ public com.google.protobuf.ByteString getSliceDimensionsBytes(int index) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3048,8 +3053,8 @@ public Builder setSliceDimensions(int index, java.lang.String value) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3072,8 +3077,8 @@ public Builder addSliceDimensions(java.lang.String value) {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3093,8 +3098,8 @@ public Builder addAllSliceDimensions(java.lang.Iterable values
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3113,8 +3118,8 @@ public Builder clearSliceDimensions() {
      * 
      * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
      * ModelEvaluationSlices. The dimensions can be used as the filter of the
-     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-     * `slice.dimension = <dimension>`.
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+     * request, in the form of `slice.dimension = <dimension>`.
      * 

      *
      * repeated string slice_dimensions = 5;
@@ -3366,8 +3371,9 @@ private void ensureExplanationSpecsIsMutable() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3387,8 +3393,9 @@ private void ensureExplanationSpecsIsMutable() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3406,8 +3413,9 @@ public int getExplanationSpecsCount() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3426,8 +3434,9 @@ public int getExplanationSpecsCount() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3453,8 +3462,9 @@ public Builder setExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3478,8 +3488,9 @@ public Builder setExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3504,8 +3515,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3531,8 +3543,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3555,8 +3568,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3580,8 +3594,9 @@ public Builder addExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3607,8 +3622,9 @@ public Builder addAllExplanationSpecs(
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3629,8 +3645,9 @@ public Builder clearExplanationSpecs() {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3651,8 +3668,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3668,8 +3686,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3689,8 +3708,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3712,8 +3732,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3732,8 +3753,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
@@ -3753,8 +3775,9 @@ public Builder removeExplanationSpecs(int index) {
      *
      *
      * 
-     * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
+     * Describes the values of
+     * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+     * used for explaining the predicted values on the evaluated data.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
index 32043c799a91..fb20d9ed518c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
@@ -78,8 +78,8 @@ public interface ModelEvaluationOrBuilder
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -93,8 +93,8 @@ public interface ModelEvaluationOrBuilder
    *
    * 
    * Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-   * defined as an OpenAPI 3.0.2 [Schema
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+   * ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -186,8 +186,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -201,8 +201,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -216,8 +216,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -232,8 +232,8 @@ public interface ModelEvaluationOrBuilder
    * 
    * All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
    * ModelEvaluationSlices. The dimensions can be used as the filter of the
-   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-   * `slice.dimension = <dimension>`.
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+   * request, in the form of `slice.dimension = <dimension>`.
    * 

    *
    * repeated string slice_dimensions = 5;
@@ -288,8 +288,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -302,8 +303,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -316,8 +318,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -329,8 +332,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
@@ -346,8 +350,9 @@ public interface ModelEvaluationOrBuilder
    *
    *
    * 
-   * Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
+   * Describes the values of
+   * [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+   * used for explaining the predicted values on the evaluated data.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSlice.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSlice.java
index 767663fc215b..f9d70e7bd1b0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSlice.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSlice.java
@@ -81,8 +81,10 @@ public interface SliceOrBuilder
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -97,8 +99,10 @@ public interface SliceOrBuilder
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -191,8 +195,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -218,8 +224,10 @@ public java.lang.String getDimension() {
      * Output only. The dimension of the slice.
      * Well-known dimensions are:
      *   * `annotationSpec`: This slice is on the test data that has either
-     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-     *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+     *     ground truth or prediction with
+     *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+     *     equals to
+     *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
      * 

      *
      * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -656,8 +664,10 @@ public Builder mergeFrom(
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -682,8 +692,10 @@ public java.lang.String getDimension() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -708,8 +720,10 @@ public com.google.protobuf.ByteString getDimensionBytes() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -733,8 +747,10 @@ public Builder setDimension(java.lang.String value) {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -754,8 +770,10 @@ public Builder clearDimension() {
        * Output only. The dimension of the slice.
        * Well-known dimensions are:
        *   * `annotationSpec`: This slice is on the test data that has either
-       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-       *     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+       *     ground truth or prediction with
+       *     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+       *     equals to
+       *     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
        * 

        *
        * string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1057,9 +1075,11 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice getSlice()
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+   * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+   * [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1083,9 +1103,11 @@ public java.lang.String getMetricsSchemaUri() {
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+   * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+   * [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -1112,8 +1134,9 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1128,8 +1151,9 @@ public boolean hasMetrics() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1144,8 +1168,9 @@ public com.google.protobuf.Value getMetrics() {
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1978,9 +2003,11 @@ public Builder clearSlice() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+     * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+     * [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2003,9 +2030,11 @@ public java.lang.String getMetricsSchemaUri() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+     * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+     * [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2028,9 +2057,11 @@ public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+     * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+     * [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2052,9 +2083,11 @@ public Builder setMetricsSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+     * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+     * [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2072,9 +2105,11 @@ public Builder clearMetricsSchemaUri() {
      *
      *
      * 
-     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-     * schema is defined as an OpenAPI 3.0.2 [Schema
+     * Output only. Points to a YAML file stored on Google Cloud Storage
+     * describing the
+     * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+     * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+     * [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
      * 

      *
@@ -2104,8 +2139,9 @@ public Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2119,8 +2155,9 @@ public boolean hasMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2138,8 +2175,9 @@ public com.google.protobuf.Value getMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2161,8 +2199,9 @@ public Builder setMetrics(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2181,8 +2220,9 @@ public Builder setMetrics(com.google.protobuf.Value.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2205,8 +2245,9 @@ public Builder mergeMetrics(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2226,8 +2267,9 @@ public Builder clearMetrics() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2241,8 +2283,9 @@ public com.google.protobuf.Value.Builder getMetricsBuilder() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2258,8 +2301,9 @@ public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
      *
      *
      * 
-     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-     * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+     * Output only. Sliced evaluation metrics of the Model. The schema of the
+     * metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
      * 

      *
      * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSliceOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSliceOrBuilder.java
index cbcf43448686..535f2042f610 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSliceOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationSliceOrBuilder.java
@@ -93,9 +93,11 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+   * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+   * [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -108,9 +110,11 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
-   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-   * schema is defined as an OpenAPI 3.0.2 [Schema
+   * Output only. Points to a YAML file stored on Google Cloud Storage
+   * describing the
+   * [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+   * this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+   * [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * 

    *
@@ -124,8 +128,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -137,8 +142,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -150,8 +156,9 @@ public interface ModelEvaluationSliceOrBuilder
    *
    *
    * 
-   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-   * in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+   * Output only. Sliced evaluation metrics of the Model. The schema of the
+   * metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
    * 

    *
    * .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
index 8d53dddda5ee..9e737ea76db5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
@@ -73,21 +73,25 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -102,21 +106,25 @@ public java.util.List getMeanAt
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -132,21 +140,25 @@ public java.util.List getMeanAt
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -161,21 +173,25 @@ public int getMeanAttributionsCount() {
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -190,21 +206,25 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -618,21 +638,25 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -651,21 +675,25 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -683,21 +711,25 @@ public int getMeanAttributionsCount() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -715,21 +747,25 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -754,21 +790,25 @@ public Builder setMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -790,21 +830,25 @@ public Builder setMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -828,21 +872,25 @@ public Builder addMeanAttributions(com.google.cloud.aiplatform.v1beta1.Attributi
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -867,21 +915,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -903,21 +955,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -939,21 +995,25 @@ public Builder addMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -975,21 +1035,25 @@ public Builder addAllMeanAttributions(
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1010,21 +1074,25 @@ public Builder clearMeanAttributions() {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1045,21 +1113,25 @@ public Builder removeMeanAttributions(int index) {
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1074,21 +1146,25 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder getMeanAttributio
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1107,21 +1183,25 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1140,21 +1220,25 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1169,21 +1253,25 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
@@ -1199,21 +1287,25 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * 
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-     * set of instances. The attributions are grouped by outputs.
+     * Output only. Aggregated attributions explaining the Model's prediction
+     * outputs over the set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
      * predicted output. For Models that predict multiple outputs, such as
      * multiclass Models that predict multiple classes, each element explains one
-     * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-     * output this attribution is explaining.
-     * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-     * averaged over the test data.
+     * specific item.
+     * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+     * can be used to identify which output this attribution is explaining.
+     * The
+     * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+     * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+     * and
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+     * fields are averaged over the test data.
      * NOTE: Currently AutoML tabular classification Models produce only one
      * attribution, which averages attributions over all the classes it predicts.
-     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+     * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+     * is not populated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
index 8871d76a7c5a..0e9722525f27 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
@@ -27,21 +27,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -53,21 +57,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -79,21 +87,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -105,21 +117,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
@@ -132,21 +148,25 @@ public interface ModelExplanationOrBuilder
    *
    *
    * 
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
-   * set of instances. The attributions are grouped by outputs.
+   * Output only. Aggregated attributions explaining the Model's prediction
+   * outputs over the set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
    * predicted output. For Models that predict multiple outputs, such as
    * multiclass Models that predict multiple classes, each element explains one
-   * specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-   * output this attribution is explaining.
-   * The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-   * averaged over the test data.
+   * specific item.
+   * [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+   * can be used to identify which output this attribution is explaining.
+   * The
+   * [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+   * [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+   * and
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+   * fields are averaged over the test data.
    * NOTE: Currently AutoML tabular classification Models produce only one
    * attribution, which averages attributions over all the classes it predicts.
-   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
+   * [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+   * is not populated.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfig.java
index f01acee3fa65..05263cc52117 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfig.java
@@ -6256,8 +6256,10 @@ public interface ExplanationBaselineOrBuilder
      *
      *
      * 
-     * Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] for Model Monitoring baseline dataset,
-     * which can be used to generate baseline attribution scores.
+     * Output from
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]
+     * for Model Monitoring baseline dataset, which can be used to generate
+     * baseline attribution scores.
      * 

      *
      * Protobuf type {@code
@@ -6908,8 +6910,10 @@ protected Builder newBuilderForType(
        *
        *
        * 
-       * Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] for Model Monitoring baseline dataset,
-       * which can be used to generate baseline attribution scores.
+       * Output from
+       * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]
+       * for Model Monitoring baseline dataset, which can be used to generate
+       * baseline attribution scores.
        * 

        *
        * Protobuf type {@code
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
index 02ec708edb5d..6173a43a10c0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
@@ -333,7 +333,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -347,7 +349,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -361,7 +365,9 @@ public interface ModelOrBuilder
    * 
    * The schemata that describe formats of the Model's predictions and
    * explanations as given and returned via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * and
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
    * .google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;
@@ -372,10 +378,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -393,10 +399,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-   * information about the Model, that is specific to it. Unset if the Model
-   * does not have any additional information.
-   * The schema is defined as an OpenAPI 3.0.2 [Schema
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * additional information about the Model, that is specific to it. Unset if
+   * the Model does not have any additional information. The schema is defined
+   * as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
    * AutoML Models always have this field populated by Vertex AI, if no
    * additional metadata is needed, this field is set to an empty string.
@@ -415,8 +421,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -429,8 +436,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -443,8 +451,9 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. An additional information about the Model; the schema of the metadata can
-   * be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+   * Immutable. An additional information about the Model; the schema of the
+   * metadata can be found in
+   * [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
    * Unset if the Model does not have any additional information.
    * 

    *
@@ -456,8 +465,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -470,8 +479,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -483,8 +492,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -496,8 +505,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -510,8 +519,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The formats in which this Model may be exported. If empty, this Model is
-   * not available for export.
+   * Output only. The formats in which this Model may be exported. If empty,
+   * this Model is not available for export.
    * 

    *
    * 
@@ -525,8 +534,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -540,8 +549,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-   * any.
+   * Output only. The resource name of the TrainingPipeline that uploaded this
+   * Model, if any.
    * 

    *
    * 
@@ -556,10 +565,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -574,10 +583,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -592,10 +601,10 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model. The specification is ingested upon
-   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-   * and stored internally by Vertex AI.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+   * and all binaries it contains are copied and stored internally by Vertex AI.
    * Not present for AutoML Models.
    * 

    *
@@ -609,9 +618,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -623,9 +631,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Immutable. The path to the directory containing the Model artifact and any of its
-   * supporting files.
-   * Not present for AutoML Models.
+   * Immutable. The path to the directory containing the Model artifact and any
+   * of its supporting files. Not present for AutoML Models.
    * 

    *
    * string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];
@@ -638,16 +645,22 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -663,16 +676,22 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -687,16 +706,22 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -713,16 +738,22 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -738,16 +769,22 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. When this Model is deployed, its prediction resources are described by the
-   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-   * Because not all Models support all resource configuration types, the
-   * configuration types this Model supports are listed here. If no
+   * Output only. When this Model is deployed, its prediction resources are
+   * described by the `prediction_resources` field of the
+   * [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+   * object. Because not all Models support all resource configuration types,
+   * the configuration types this Model supports are listed here. If no
    * configuration types are listed, the Model cannot be deployed to an
    * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-   * using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+   * online predictions
+   * ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+   * Such a Model can serve predictions by using a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+   * if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+   * and
    * [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
    * 

    *
@@ -766,9 +803,10 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -776,10 +814,12 @@ public interface ModelOrBuilder
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -789,11 +829,16 @@ public interface ModelOrBuilder
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -809,9 +854,10 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -819,10 +865,12 @@ public interface ModelOrBuilder
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -832,11 +880,16 @@ public interface ModelOrBuilder
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -852,9 +905,10 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -862,10 +916,12 @@ public interface ModelOrBuilder
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -875,11 +931,16 @@ public interface ModelOrBuilder
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -896,9 +957,10 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-   * should be given as per that schema.
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+   * If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * exists, the instances should be given as per that schema.
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each instance is a single line. Uses
@@ -906,10 +968,12 @@ public interface ModelOrBuilder
    * * `csv`
    * The CSV format, where each instance is a single comma-separated line.
    * The first line in the file is the header, containing comma-separated field
-   * names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * names. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record`
    * The TFRecord format, where each instance is a single record in tfrecord
-   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+   * syntax. Uses
+   * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
    * * `tf-record-gzip`
    * Similar to `tf-record`, but the file is gzipped. Uses
    * [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
@@ -919,11 +983,16 @@ public interface ModelOrBuilder
    * * `file-list`
    * Each line of the file is the location of an instance to process, uses
    * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+   * object.
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -941,12 +1010,14 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -961,9 +1032,13 @@ public interface ModelOrBuilder
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -979,12 +1054,14 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -999,9 +1076,13 @@ public interface ModelOrBuilder
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -1017,12 +1098,14 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -1037,9 +1120,13 @@ public interface ModelOrBuilder
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -1056,12 +1143,14 @@ public interface ModelOrBuilder
    *
    * 
    * Output only. The formats this Model supports in
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-   * are returned together with their instances. In other words, the
-   * prediction has the original instance data first, followed
-   * by the actual prediction content (as per the schema).
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+   * If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+   * and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+   * exist, the predictions are returned together with their instances. In other
+   * words, the prediction has the original instance data first, followed by the
+   * actual prediction content (as per the schema).
    * The possible formats are:
    * * `jsonl`
    * The JSON Lines format, where each prediction is a single line. Uses
@@ -1076,9 +1165,13 @@ public interface ModelOrBuilder
    * [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
    * .
    * If this Model doesn't support any of these formats it means it cannot be
-   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+   * used with a
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+   * it could serve online predictions by using
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+   * or
    * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    * 

    *
@@ -1171,8 +1264,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1184,8 +1277,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1197,8 +1290,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1210,8 +1303,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1224,8 +1317,8 @@ public interface ModelOrBuilder
    *
    *
    * 
-   * Output only. The pointers to DeployedModels created from this Model. Note that
-   * Model could have been deployed to Endpoints in different Locations.
+   * Output only. The pointers to DeployedModels created from this Model. Note
+   * that Model could have been deployed to Endpoints in different Locations.
    * 

    *
    * 
@@ -1242,21 +1335,27 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -1272,21 +1371,27 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -1302,21 +1407,27 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * The default explanation specification for this Model.
    * The Model can be used for [requesting
    * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-   * The Model can be used for [batch
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+   * it is populated. The Model can be used for [batch
    * explanation][BatchPredictionJob.generate_explanation] if it is populated.
    * All fields of the explanation_spec can be overridden by
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+   * or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * If the default explanation specification is not set for this Model, this
    * Model can still be used for [requesting
    * explanation][PredictionService.Explain] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-   * explanation][BatchPredictionJob.generate_explanation] by setting
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+   * of
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+   * and for [batch explanation][BatchPredictionJob.generate_explanation] by
+   * setting
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+   * of
    * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
@@ -1472,8 +1583,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1487,8 +1598,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1502,8 +1613,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. Source of a model. It can either be automl training pipeline, custom
-   * training pipeline, BigQuery ML, or existing Vertex AI Model.
+   * Output only. Source of a model. It can either be automl training pipeline,
+   * custom training pipeline, BigQuery ML, or existing Vertex AI Model.
    * 

    *
    * 
@@ -1516,8 +1627,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
@@ -1530,8 +1642,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Output only. The resource name of the Artifact that was created in MetadataStore when
-   * creating the Model. The Artifact resource name pattern is
+   * Output only. The resource name of the Artifact that was created in
+   * MetadataStore when creating the Model. The Artifact resource name pattern
+   * is
    * `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceProto.java
index 5346932c739f..e722dc94fdec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceProto.java
@@ -186,186 +186,186 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "d_mask\030\005 \001(\0132\032.google.protobuf.FieldMask"
           + "\"e\n\022ListModelsResponse\0226\n\006models\030\001 \003(\0132&"
           + ".google.cloud.aiplatform.v1beta1.Model\022\027"
-          + "\n\017next_page_token\030\002 \001(\t\"\267\001\n\030ListModelVer"
+          + "\n\017next_page_token\030\002 \001(\t\"\311\001\n\030ListModelVer"
           + "sionsRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aipl"
           + "atform.googleapis.com/Model\022\021\n\tpage_size"
           + "\030\002 \001(\005\022\022\n\npage_token\030\003 \001(\t\022\016\n\006filter\030\004 \001"
           + "(\t\022-\n\tread_mask\030\005 \001(\0132\032.google.protobuf."
-          + "FieldMask\"l\n\031ListModelVersionsResponse\0226"
-          + "\n\006models\030\001 \003(\0132&.google.cloud.aiplatform"
-          + ".v1beta1.Model\022\027\n\017next_page_token\030\002 \001(\t\""
-          + "\206\001\n\022UpdateModelRequest\022:\n\005model\030\001 \001(\0132&."
-          + "google.cloud.aiplatform.v1beta1.ModelB\003\340"
-          + "A\002\0224\n\013update_mask\030\002 \001(\0132\032.google.protobu"
-          + "f.FieldMaskB\003\340A\002\"\226\001\n\037UpdateExplanationDa"
-          + "tasetRequest\0226\n\005model\030\001 \001(\tB\'\340A\002\372A!\n\037aip"
-          + "latform.googleapis.com/Model\022;\n\010examples"
-          + "\030\002 \001(\0132).google.cloud.aiplatform.v1beta1"
-          + ".Examples\"\200\001\n)UpdateExplanationDatasetOp"
-          + "erationMetadata\022S\n\020generic_metadata\030\001 \001("
-          + "\01329.google.cloud.aiplatform.v1beta1.Gene"
-          + "ricOperationMetadata\"K\n\022DeleteModelReque"
-          + "st\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.goo"
-          + "gleapis.com/Model\"R\n\031DeleteModelVersionR"
-          + "equest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform"
-          + ".googleapis.com/Model\"q\n\032MergeVersionAli"
-          + "asesRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aipla"
-          + "tform.googleapis.com/Model\022\034\n\017version_al"
-          + "iases\030\002 \003(\tB\003\340A\002\"\375\002\n\022ExportModelRequest\022"
-          + "5\n\004name\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.google"
-          + "apis.com/Model\022\\\n\routput_config\030\002 \001(\0132@."
-          + "google.cloud.aiplatform.v1beta1.ExportMo"
-          + "delRequest.OutputConfigB\003\340A\002\032\321\001\n\014OutputC"
-          + "onfig\022\030\n\020export_format_id\030\001 \001(\t\022M\n\024artif"
-          + "act_destination\030\003 \001(\0132/.google.cloud.aip"
-          + "latform.v1beta1.GcsDestination\022X\n\021image_"
-          + "destination\030\004 \001(\0132=.google.cloud.aiplatf"
-          + "orm.v1beta1.ContainerRegistryDestination"
-          + "\"\246\002\n\034ExportModelOperationMetadata\022S\n\020gen"
-          + "eric_metadata\030\001 \001(\01329.google.cloud.aipla"
-          + "tform.v1beta1.GenericOperationMetadata\022b"
-          + "\n\013output_info\030\002 \001(\0132H.google.cloud.aipla"
-          + "tform.v1beta1.ExportModelOperationMetada"
-          + "ta.OutputInfoB\003\340A\003\032M\n\nOutputInfo\022 \n\023arti"
-          + "fact_output_uri\030\002 \001(\tB\003\340A\003\022\035\n\020image_outp"
-          + "ut_uri\030\003 \001(\tB\003\340A\003\"\"\n UpdateExplanationDa"
-          + "tasetResponse\"\025\n\023ExportModelResponse\"\250\001\n"
-          + "\034ImportModelEvaluationRequest\0227\n\006parent\030"
+          + "FieldMask\022\020\n\010order_by\030\006 \001(\t\"l\n\031ListModel"
+          + "VersionsResponse\0226\n\006models\030\001 \003(\0132&.googl"
+          + "e.cloud.aiplatform.v1beta1.Model\022\027\n\017next"
+          + "_page_token\030\002 \001(\t\"\206\001\n\022UpdateModelRequest"
+          + "\022:\n\005model\030\001 \001(\0132&.google.cloud.aiplatfor"
+          + "m.v1beta1.ModelB\003\340A\002\0224\n\013update_mask\030\002 \001("
+          + "\0132\032.google.protobuf.FieldMaskB\003\340A\002\"\226\001\n\037U"
+          + "pdateExplanationDatasetRequest\0226\n\005model\030"
           + "\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.com"
-          + "/Model\022O\n\020model_evaluation\030\002 \001(\01320.googl"
-          + "e.cloud.aiplatform.v1beta1.ModelEvaluati"
-          + "onB\003\340A\002\"\311\001\n\'BatchImportModelEvaluationSl"
-          + "icesRequest\022A\n\006parent\030\001 \001(\tB1\340A\002\372A+\n)aip"
-          + "latform.googleapis.com/ModelEvaluation\022["
-          + "\n\027model_evaluation_slices\030\002 \003(\01325.google"
-          + ".cloud.aiplatform.v1beta1.ModelEvaluatio"
-          + "nSliceB\003\340A\002\"Y\n(BatchImportModelEvaluatio"
-          + "nSlicesResponse\022-\n imported_model_evalua"
-          + "tion_slices\030\001 \003(\tB\003\340A\003\"\\\n\031GetModelEvalua"
-          + "tionRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aipla"
-          + "tform.googleapis.com/ModelEvaluation\"\274\001\n"
-          + "\033ListModelEvaluationsRequest\0227\n\006parent\030\001"
-          + " \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.com/"
-          + "Model\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005"
-          + "\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132"
-          + "\032.google.protobuf.FieldMask\"\204\001\n\034ListMode"
-          + "lEvaluationsResponse\022K\n\021model_evaluation"
-          + "s\030\001 \003(\01320.google.cloud.aiplatform.v1beta"
-          + "1.ModelEvaluation\022\027\n\017next_page_token\030\002 \001"
-          + "(\t\"f\n\036GetModelEvaluationSliceRequest\022D\n\004"
-          + "name\030\001 \001(\tB6\340A\002\372A0\n.aiplatform.googleapi"
-          + "s.com/ModelEvaluationSlice\"\313\001\n ListModel"
-          + "EvaluationSlicesRequest\022A\n\006parent\030\001 \001(\tB"
-          + "1\340A\002\372A+\n)aiplatform.googleapis.com/Model"
-          + "Evaluation\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030"
-          + "\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005"
-          + " \001(\0132\032.google.protobuf.FieldMask\"\224\001\n!Lis"
-          + "tModelEvaluationSlicesResponse\022V\n\027model_"
-          + "evaluation_slices\030\001 \003(\01325.google.cloud.a"
-          + "iplatform.v1beta1.ModelEvaluationSlice\022\027"
-          + "\n\017next_page_token\030\002 \001(\t2\354\035\n\014ModelService"
-          + "\022\352\001\n\013UploadModel\0223.google.cloud.aiplatfo"
-          + "rm.v1beta1.UploadModelRequest\032\035.google.l"
-          + "ongrunning.Operation\"\206\001\202\323\344\223\002;\"6/v1beta1/"
-          + "{parent=projects/*/locations/*}/models:u"
-          + "pload:\001*\332A\014parent,model\312A3\n\023UploadModelR"
-          + "esponse\022\034UploadModelOperationMetadata\022\244\001"
-          + "\n\010GetModel\0220.google.cloud.aiplatform.v1b"
-          + "eta1.GetModelRequest\032&.google.cloud.aipl"
-          + "atform.v1beta1.Model\">\202\323\344\223\0021\022//v1beta1/{"
-          + "name=projects/*/locations/*/models/*}\332A\004"
-          + "name\022\267\001\n\nListModels\0222.google.cloud.aipla"
-          + "tform.v1beta1.ListModelsRequest\0323.google"
-          + ".cloud.aiplatform.v1beta1.ListModelsResp"
-          + "onse\"@\202\323\344\223\0021\022//v1beta1/{parent=projects/"
-          + "*/locations/*}/models\332A\006parent\022\327\001\n\021ListM"
-          + "odelVersions\0229.google.cloud.aiplatform.v"
-          + "1beta1.ListModelVersionsRequest\032:.google"
-          + ".cloud.aiplatform.v1beta1.ListModelVersi"
-          + "onsResponse\"K\202\323\344\223\002>\02225/v1beta1/{model.name=projects/*/l"
-          + "ocations/*/models/*}:\005model\332A\021model,upda"
-          + "te_mask\022\252\002\n\030UpdateExplanationDataset\022@.g"
-          + "oogle.cloud.aiplatform.v1beta1.UpdateExp"
-          + "lanationDatasetRequest\032\035.google.longrunn"
-          + "ing.Operation\"\254\001\202\323\344\223\002N\"I/v1beta1/{model="
-          + "projects/*/locations/*/models/*}:updateE"
-          + "xplanationDataset:\001*\332A\005model\312AM\n UpdateE"
-          + "xplanationDatasetResponse\022)UpdateExplana"
-          + "tionDatasetOperationMetadata\022\324\001\n\013DeleteM"
-          + "odel\0223.google.cloud.aiplatform.v1beta1.D"
-          + "eleteModelRequest\032\035.google.longrunning.O"
-          + "peration\"q\202\323\344\223\0021*//v1beta1/{name=project"
-          + "s/*/locations/*/models/*}\332A\004name\312A0\n\025goo"
-          + "gle.protobuf.Empty\022\027DeleteOperationMetad"
-          + "ata\022\360\001\n\022DeleteModelVersion\022:.google.clou"
-          + "d.aiplatform.v1beta1.DeleteModelVersionR"
-          + "equest\032\035.google.longrunning.Operation\"\177\202"
-          + "\323\344\223\002?*=/v1beta1/{name=projects/*/locatio"
-          + "ns/*/models/*}:deleteVersion\332A\004name\312A0\n\025"
-          + "google.protobuf.Empty\022\027DeleteOperationMe"
-          + "tadata\022\341\001\n\023MergeVersionAliases\022;.google."
-          + "cloud.aiplatform.v1beta1.MergeVersionAli"
-          + "asesRequest\032&.google.cloud.aiplatform.v1"
-          + "beta1.Model\"e\202\323\344\223\002H\"C/v1beta1/{name=proj"
-          + "ects/*/locations/*/models/*}:mergeVersio"
-          + "nAliases:\001*\332A\024name,version_aliases\022\360\001\n\013E"
-          + "xportModel\0223.google.cloud.aiplatform.v1b"
-          + "eta1.ExportModelRequest\032\035.google.longrun"
-          + "ning.Operation\"\214\001\202\323\344\223\002;\"6/v1beta1/{name="
-          + "projects/*/locations/*/models/*}:export:"
-          + "\001*\332A\022name,output_config\312A3\n\023ExportModelR"
-          + "esponse\022\034ExportModelOperationMetadata\022\363\001"
-          + "\n\025ImportModelEvaluation\022=.google.cloud.a"
-          + "iplatform.v1beta1.ImportModelEvaluationR"
-          + "equest\0320.google.cloud.aiplatform.v1beta1"
-          + ".ModelEvaluation\"i\202\323\344\223\002I\"D/v1beta1/{pare"
-          + "nt=projects/*/locations/*/models/*}/eval"
-          + "uations:import:\001*\332A\027parent,model_evaluat"
-          + "ion\022\267\002\n BatchImportModelEvaluationSlices"
-          + "\022H.google.cloud.aiplatform.v1beta1.Batch"
-          + "ImportModelEvaluationSlicesRequest\032I.goo"
-          + "gle.cloud.aiplatform.v1beta1.BatchImport"
-          + "ModelEvaluationSlicesResponse\"~\202\323\344\223\002W\"R/"
-          + "v1beta1/{parent=projects/*/locations/*/m"
-          + "odels/*/evaluations/*}/slices:batchImpor"
-          + "t:\001*\332A\036parent,model_evaluation_slices\022\320\001"
-          + "\n\022GetModelEvaluation\022:.google.cloud.aipl"
-          + "atform.v1beta1.GetModelEvaluationRequest"
-          + "\0320.google.cloud.aiplatform.v1beta1.Model"
-          + "Evaluation\"L\202\323\344\223\002?\022=/v1beta1/{name=proje"
-          + "cts/*/locations/*/models/*/evaluations/*"
-          + "}\332A\004name\022\343\001\n\024ListModelEvaluations\022<.goog"
-          + "le.cloud.aiplatform.v1beta1.ListModelEva"
-          + "luationsRequest\032=.google.cloud.aiplatfor"
-          + "m.v1beta1.ListModelEvaluationsResponse\"N"
-          + "\202\323\344\223\002?\022=/v1beta1/{parent=projects/*/loca"
-          + "tions/*/models/*}/evaluations\332A\006parent\022\350"
-          + "\001\n\027GetModelEvaluationSlice\022?.google.clou"
-          + "d.aiplatform.v1beta1.GetModelEvaluationS"
-          + "liceRequest\0325.google.cloud.aiplatform.v1"
-          + "beta1.ModelEvaluationSlice\"U\202\323\344\223\002H\022F/v1b"
+          + "/Model\022;\n\010examples\030\002 \001(\0132).google.cloud."
+          + "aiplatform.v1beta1.Examples\"\200\001\n)UpdateEx"
+          + "planationDatasetOperationMetadata\022S\n\020gen"
+          + "eric_metadata\030\001 \001(\01329.google.cloud.aipla"
+          + "tform.v1beta1.GenericOperationMetadata\"K"
+          + "\n\022DeleteModelRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372"
+          + "A!\n\037aiplatform.googleapis.com/Model\"R\n\031D"
+          + "eleteModelVersionRequest\0225\n\004name\030\001 \001(\tB\'"
+          + "\340A\002\372A!\n\037aiplatform.googleapis.com/Model\""
+          + "q\n\032MergeVersionAliasesRequest\0225\n\004name\030\001 "
+          + "\001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.com/M"
+          + "odel\022\034\n\017version_aliases\030\002 \003(\tB\003\340A\002\"\375\002\n\022E"
+          + "xportModelRequest\0225\n\004name\030\001 \001(\tB\'\340A\002\372A!\n"
+          + "\037aiplatform.googleapis.com/Model\022\\\n\routp"
+          + "ut_config\030\002 \001(\0132@.google.cloud.aiplatfor"
+          + "m.v1beta1.ExportModelRequest.OutputConfi"
+          + "gB\003\340A\002\032\321\001\n\014OutputConfig\022\030\n\020export_format"
+          + "_id\030\001 \001(\t\022M\n\024artifact_destination\030\003 \001(\0132"
+          + "/.google.cloud.aiplatform.v1beta1.GcsDes"
+          + "tination\022X\n\021image_destination\030\004 \001(\0132=.go"
+          + "ogle.cloud.aiplatform.v1beta1.ContainerR"
+          + "egistryDestination\"\246\002\n\034ExportModelOperat"
+          + "ionMetadata\022S\n\020generic_metadata\030\001 \001(\01329."
+          + "google.cloud.aiplatform.v1beta1.GenericO"
+          + "perationMetadata\022b\n\013output_info\030\002 \001(\0132H."
+          + "google.cloud.aiplatform.v1beta1.ExportMo"
+          + "delOperationMetadata.OutputInfoB\003\340A\003\032M\n\n"
+          + "OutputInfo\022 \n\023artifact_output_uri\030\002 \001(\tB"
+          + "\003\340A\003\022\035\n\020image_output_uri\030\003 \001(\tB\003\340A\003\"\"\n U"
+          + "pdateExplanationDatasetResponse\"\025\n\023Expor"
+          + "tModelResponse\"\250\001\n\034ImportModelEvaluation"
+          + "Request\0227\n\006parent\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatf"
+          + "orm.googleapis.com/Model\022O\n\020model_evalua"
+          + "tion\030\002 \001(\01320.google.cloud.aiplatform.v1b"
+          + "eta1.ModelEvaluationB\003\340A\002\"\311\001\n\'BatchImpor"
+          + "tModelEvaluationSlicesRequest\022A\n\006parent\030"
+          + "\001 \001(\tB1\340A\002\372A+\n)aiplatform.googleapis.com"
+          + "/ModelEvaluation\022[\n\027model_evaluation_sli"
+          + "ces\030\002 \003(\01325.google.cloud.aiplatform.v1be"
+          + "ta1.ModelEvaluationSliceB\003\340A\002\"Y\n(BatchIm"
+          + "portModelEvaluationSlicesResponse\022-\n imp"
+          + "orted_model_evaluation_slices\030\001 \003(\tB\003\340A\003"
+          + "\"\\\n\031GetModelEvaluationRequest\022?\n\004name\030\001 "
+          + "\001(\tB1\340A\002\372A+\n)aiplatform.googleapis.com/M"
+          + "odelEvaluation\"\274\001\n\033ListModelEvaluationsR"
+          + "equest\0227\n\006parent\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatfo"
+          + "rm.googleapis.com/Model\022\016\n\006filter\030\002 \001(\t\022"
+          + "\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-"
+          + "\n\tread_mask\030\005 \001(\0132\032.google.protobuf.Fiel"
+          + "dMask\"\204\001\n\034ListModelEvaluationsResponse\022K"
+          + "\n\021model_evaluations\030\001 \003(\01320.google.cloud"
+          + ".aiplatform.v1beta1.ModelEvaluation\022\027\n\017n"
+          + "ext_page_token\030\002 \001(\t\"f\n\036GetModelEvaluati"
+          + "onSliceRequest\022D\n\004name\030\001 \001(\tB6\340A\002\372A0\n.ai"
+          + "platform.googleapis.com/ModelEvaluationS"
+          + "lice\"\313\001\n ListModelEvaluationSlicesReques"
+          + "t\022A\n\006parent\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.go"
+          + "ogleapis.com/ModelEvaluation\022\016\n\006filter\030\002"
+          + " \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_token\030\004 "
+          + "\001(\t\022-\n\tread_mask\030\005 \001(\0132\032.google.protobuf"
+          + ".FieldMask\"\224\001\n!ListModelEvaluationSlices"
+          + "Response\022V\n\027model_evaluation_slices\030\001 \003("
+          + "\01325.google.cloud.aiplatform.v1beta1.Mode"
+          + "lEvaluationSlice\022\027\n\017next_page_token\030\002 \001("
+          + "\t2\354\035\n\014ModelService\022\352\001\n\013UploadModel\0223.goo"
+          + "gle.cloud.aiplatform.v1beta1.UploadModel"
+          + "Request\032\035.google.longrunning.Operation\"\206"
+          + "\001\202\323\344\223\002;\"6/v1beta1/{parent=projects/*/loc"
+          + "ations/*}/models:upload:\001*\332A\014parent,mode"
+          + "l\312A3\n\023UploadModelResponse\022\034UploadModelOp"
+          + "erationMetadata\022\244\001\n\010GetModel\0220.google.cl"
+          + "oud.aiplatform.v1beta1.GetModelRequest\032&"
+          + ".google.cloud.aiplatform.v1beta1.Model\">"
+          + "\202\323\344\223\0021\022//v1beta1/{name=projects/*/locati"
+          + "ons/*/models/*}\332A\004name\022\267\001\n\nListModels\0222."
+          + "google.cloud.aiplatform.v1beta1.ListMode"
+          + "lsRequest\0323.google.cloud.aiplatform.v1be"
+          + "ta1.ListModelsResponse\"@\202\323\344\223\0021\022//v1beta1"
+          + "/{parent=projects/*/locations/*}/models\332"
+          + "A\006parent\022\327\001\n\021ListModelVersions\0229.google."
+          + "cloud.aiplatform.v1beta1.ListModelVersio"
+          + "nsRequest\032:.google.cloud.aiplatform.v1be"
+          + "ta1.ListModelVersionsResponse\"K\202\323\344\223\002>\02225/v1beta1/{model"
+          + ".name=projects/*/locations/*/models/*}:\005"
+          + "model\332A\021model,update_mask\022\252\002\n\030UpdateExpl"
+          + "anationDataset\022@.google.cloud.aiplatform"
+          + ".v1beta1.UpdateExplanationDatasetRequest"
+          + "\032\035.google.longrunning.Operation\"\254\001\202\323\344\223\002N"
+          + "\"I/v1beta1/{model=projects/*/locations/*"
+          + "/models/*}:updateExplanationDataset:\001*\332A"
+          + "\005model\312AM\n UpdateExplanationDatasetRespo"
+          + "nse\022)UpdateExplanationDatasetOperationMe"
+          + "tadata\022\324\001\n\013DeleteModel\0223.google.cloud.ai"
+          + "platform.v1beta1.DeleteModelRequest\032\035.go"
+          + "ogle.longrunning.Operation\"q\202\323\344\223\0021*//v1b"
           + "eta1/{name=projects/*/locations/*/models"
-          + "/*/evaluations/*/slices/*}\332A\004name\022\373\001\n\031Li"
-          + "stModelEvaluationSlices\022A.google.cloud.a"
-          + "iplatform.v1beta1.ListModelEvaluationSli"
-          + "cesRequest\032B.google.cloud.aiplatform.v1b"
-          + "eta1.ListModelEvaluationSlicesResponse\"W"
-          + "\202\323\344\223\002H\022F/v1beta1/{parent=projects/*/loca"
-          + "tions/*/models/*/evaluations/*}/slices\332A"
-          + "\006parent\032M\312A\031aiplatform.googleapis.com\322A."
-          + "https://www.googleapis.com/auth/cloud-pl"
-          + "atformB\356\001\n#com.google.cloud.aiplatform.v"
-          + "1beta1B\021ModelServiceProtoP\001ZIgoogle.gola"
-          + "ng.org/genproto/googleapis/cloud/aiplatf"
-          + "orm/v1beta1;aiplatform\252\002\037Google.Cloud.AI"
-          + "Platform.V1Beta1\312\002\037Google\\Cloud\\AIPlatfo"
-          + "rm\\V1beta1\352\002\"Google::Cloud::AIPlatform::"
-          + "V1beta1b\006proto3"
+          + "/*}\332A\004name\312A0\n\025google.protobuf.Empty\022\027De"
+          + "leteOperationMetadata\022\360\001\n\022DeleteModelVer"
+          + "sion\022:.google.cloud.aiplatform.v1beta1.D"
+          + "eleteModelVersionRequest\032\035.google.longru"
+          + "nning.Operation\"\177\202\323\344\223\002?*=/v1beta1/{name="
+          + "projects/*/locations/*/models/*}:deleteV"
+          + "ersion\332A\004name\312A0\n\025google.protobuf.Empty\022"
+          + "\027DeleteOperationMetadata\022\341\001\n\023MergeVersio"
+          + "nAliases\022;.google.cloud.aiplatform.v1bet"
+          + "a1.MergeVersionAliasesRequest\032&.google.c"
+          + "loud.aiplatform.v1beta1.Model\"e\202\323\344\223\002H\"C/"
+          + "v1beta1/{name=projects/*/locations/*/mod"
+          + "els/*}:mergeVersionAliases:\001*\332A\024name,ver"
+          + "sion_aliases\022\360\001\n\013ExportModel\0223.google.cl"
+          + "oud.aiplatform.v1beta1.ExportModelReques"
+          + "t\032\035.google.longrunning.Operation\"\214\001\202\323\344\223\002"
+          + ";\"6/v1beta1/{name=projects/*/locations/*"
+          + "/models/*}:export:\001*\332A\022name,output_confi"
+          + "g\312A3\n\023ExportModelResponse\022\034ExportModelOp"
+          + "erationMetadata\022\363\001\n\025ImportModelEvaluatio"
+          + "n\022=.google.cloud.aiplatform.v1beta1.Impo"
+          + "rtModelEvaluationRequest\0320.google.cloud."
+          + "aiplatform.v1beta1.ModelEvaluation\"i\202\323\344\223"
+          + "\002I\"D/v1beta1/{parent=projects/*/location"
+          + "s/*/models/*}/evaluations:import:\001*\332A\027pa"
+          + "rent,model_evaluation\022\267\002\n BatchImportMod"
+          + "elEvaluationSlices\022H.google.cloud.aiplat"
+          + "form.v1beta1.BatchImportModelEvaluationS"
+          + "licesRequest\032I.google.cloud.aiplatform.v"
+          + "1beta1.BatchImportModelEvaluationSlicesR"
+          + "esponse\"~\202\323\344\223\002W\"R/v1beta1/{parent=projec"
+          + "ts/*/locations/*/models/*/evaluations/*}"
+          + "/slices:batchImport:\001*\332A\036parent,model_ev"
+          + "aluation_slices\022\320\001\n\022GetModelEvaluation\022:"
+          + ".google.cloud.aiplatform.v1beta1.GetMode"
+          + "lEvaluationRequest\0320.google.cloud.aiplat"
+          + "form.v1beta1.ModelEvaluation\"L\202\323\344\223\002?\022=/v"
+          + "1beta1/{name=projects/*/locations/*/mode"
+          + "ls/*/evaluations/*}\332A\004name\022\343\001\n\024ListModel"
+          + "Evaluations\022<.google.cloud.aiplatform.v1"
+          + "beta1.ListModelEvaluationsRequest\032=.goog"
+          + "le.cloud.aiplatform.v1beta1.ListModelEva"
+          + "luationsResponse\"N\202\323\344\223\002?\022=/v1beta1/{pare"
+          + "nt=projects/*/locations/*/models/*}/eval"
+          + "uations\332A\006parent\022\350\001\n\027GetModelEvaluationS"
+          + "lice\022?.google.cloud.aiplatform.v1beta1.G"
+          + "etModelEvaluationSliceRequest\0325.google.c"
+          + "loud.aiplatform.v1beta1.ModelEvaluationS"
+          + "lice\"U\202\323\344\223\002H\022F/v1beta1/{name=projects/*/"
+          + "locations/*/models/*/evaluations/*/slice"
+          + "s/*}\332A\004name\022\373\001\n\031ListModelEvaluationSlice"
+          + "s\022A.google.cloud.aiplatform.v1beta1.List"
+          + "ModelEvaluationSlicesRequest\032B.google.cl"
+          + "oud.aiplatform.v1beta1.ListModelEvaluati"
+          + "onSlicesResponse\"W\202\323\344\223\002H\022F/v1beta1/{pare"
+          + "nt=projects/*/locations/*/models/*/evalu"
+          + "ations/*}/slices\332A\006parent\032M\312A\031aiplatform"
+          + ".googleapis.com\322A.https://www.googleapis"
+          + ".com/auth/cloud-platformB\356\001\n#com.google."
+          + "cloud.aiplatform.v1beta1B\021ModelServicePr"
+          + "otoP\001ZIgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1beta1;aiplatform"
+          + "\252\002\037Google.Cloud.AIPlatform.V1Beta1\312\002\037Goo"
+          + "gle\\Cloud\\AIPlatform\\V1beta1\352\002\"Google::C"
+          + "loud::AIPlatform::V1beta1b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -438,7 +438,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListModelVersionsRequest_descriptor,
             new java.lang.String[] {
-              "Name", "PageSize", "PageToken", "Filter", "ReadMask",
+              "Name", "PageSize", "PageToken", "Filter", "ReadMask", "OrderBy",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListModelVersionsResponse_descriptor =
         getDescriptor().getMessageTypes().get(7);
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequest.java
index fa1b97f276de..291e75d4e7b5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+ * Request message for
+ * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest}
@@ -73,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -100,8 +101,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -362,7 +363,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+   * Request message for
+   * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest}
@@ -556,8 +558,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -582,8 +584,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -608,8 +610,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -633,8 +635,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -654,8 +656,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource into which to deploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequestOrBuilder.java
index 763cc52d129f..a243cc18cb13 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface MutateDeployedIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface MutateDeployedIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource into which to deploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource into which to deploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexResponse.java
index 4b9e91bd04aa..4cecb3cb1ed3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MutateDeployedIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+ * Response message for
+ * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse}
@@ -282,7 +283,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+   * Response message for
+   * [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
index bee2e46eeeb1..db680441cede 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
@@ -3499,9 +3499,10 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -3521,9 +3522,10 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -3544,9 +3546,10 @@ public com.google.protobuf.Parser getParserForType() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -3563,9 +3566,10 @@ public int getContentValidationStatsCount() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -3584,9 +3588,10 @@ public int getContentValidationStatsCount() {
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -4073,9 +4078,10 @@ private void ensureContentValidationStatsIsMutable() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4098,9 +4104,10 @@ private void ensureContentValidationStatsIsMutable() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4120,9 +4127,10 @@ public int getContentValidationStatsCount() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4144,9 +4152,10 @@ public int getContentValidationStatsCount() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4176,9 +4185,10 @@ public Builder setContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4205,9 +4215,10 @@ public Builder setContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4236,9 +4247,10 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4268,9 +4280,10 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4296,9 +4309,10 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4325,9 +4339,10 @@ public Builder addContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4355,9 +4370,10 @@ public Builder addAllContentValidationStats(
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4380,9 +4396,10 @@ public Builder clearContentValidationStats() {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4405,9 +4422,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4425,9 +4443,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4449,9 +4468,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4475,9 +4495,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4498,9 +4519,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
@@ -4522,9 +4544,10 @@ public Builder removeContentValidationStats(int index) {
      * 
      * The validation stats of the content (per file) to be inserted or
      * updated on the Matching Engine Index resource. Populated if
-     * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-     * that, currently for those files that are broken or has unsupported file
-     * format, we will not have the stats for those files.
+     * contentsDeltaUri is provided as part of
+     * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+     * note that, currently for those files that are broken or has unsupported
+     * file format, we will not have the stats for those files.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadataOrBuilder.java
index e676bd0cabf4..6f11b0a5fad2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadataOrBuilder.java
@@ -29,9 +29,10 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -48,9 +49,10 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -65,9 +67,10 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -81,9 +84,10 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
@@ -101,9 +105,10 @@ public interface NearestNeighborSearchOperationMetadataOrBuilder
    * 
    * The validation stats of the content (per file) to be inserted or
    * updated on the Matching Engine Index resource. Populated if
-   * contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-   * that, currently for those files that are broken or has unsupported file
-   * format, we will not have the stats for those files.
+   * contentsDeltaUri is provided as part of
+   * [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+   * note that, currently for those files that are broken or has unsupported
+   * file format, we will not have the stats for those files.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMount.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMount.java
index 596b9de84515..a2e5f6c2f521 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMount.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMount.java
@@ -177,8 +177,8 @@ public com.google.protobuf.ByteString getPathBytes() {
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -201,8 +201,8 @@ public java.lang.String getMountPoint() {
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -822,8 +822,8 @@ public Builder setPathBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -845,8 +845,8 @@ public java.lang.String getMountPoint() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -868,8 +868,8 @@ public com.google.protobuf.ByteString getMountPointBytes() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -890,8 +890,8 @@ public Builder setMountPoint(java.lang.String value) {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -908,8 +908,8 @@ public Builder clearMountPoint() {
      *
      *
      * 
-     * Required. Destination mount path. The NFS will be mounted for the user under
-     * /mnt/nfs/<mount_point>
+     * Required. Destination mount path. The NFS will be mounted for the user
+     * under /mnt/nfs/<mount_point>
      * 

      *
      * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMountOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMountOrBuilder.java
index 16197640ff75..a2b113e52ac2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMountOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NfsMountOrBuilder.java
@@ -81,8 +81,8 @@ public interface NfsMountOrBuilder
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
@@ -94,8 +94,8 @@ public interface NfsMountOrBuilder
    *
    *
    * 
-   * Required. Destination mount path. The NFS will be mounted for the user under
-   * /mnt/nfs/<mount_point>
+   * Required. Destination mount path. The NFS will be mounted for the user
+   * under /mnt/nfs/<mount_point>
    * 

    *
    * string mount_point = 3 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJob.java
index 325a1e776122..7cf8bdab122c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJob.java
@@ -92,12 +92,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -110,12 +112,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -131,12 +135,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -149,12 +155,14 @@ public interface RuntimeConfigOrBuilder
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -171,12 +179,14 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -190,8 +200,8 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -208,8 +218,8 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -228,10 +238,12 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -242,10 +254,12 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -259,10 +273,12 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -273,10 +289,12 @@ com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -292,10 +310,12 @@ com.google.protobuf.Value getParameterValuesOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1379,12 +1399,14 @@ public int getParametersCount() {
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1410,12 +1432,14 @@ public boolean containsParameters(java.lang.String key) {
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1432,12 +1456,14 @@ public boolean containsParameters(java.lang.String key) {
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1459,12 +1485,14 @@ public com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
      *
      *
      * 
-     * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-     * parameters of the PipelineJob. The parameters will be passed into
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-     * This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-     * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+     * Deprecated. Use
+     * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+     * instead. The runtime parameters of the PipelineJob. The parameters will
+     * be passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+     * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
      * 

      *
      * 
@@ -1491,8 +1519,8 @@ public com.google.cloud.aiplatform.v1beta1.Value getParametersOrThrow(java.lang.
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -1520,8 +1548,8 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * 
-     * Required. A path in a Cloud Storage bucket, which will be treated as the root
-     * output directory of the pipeline. It is used by the system to
+     * Required. A path in a Cloud Storage bucket, which will be treated as the
+     * root output directory of the pipeline. It is used by the system to
      * generate the paths of output artifacts. The artifact paths are generated
      * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
      * specified output directory. The service account specified in this
@@ -1581,10 +1609,12 @@ public int getParameterValuesCount() {
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1607,10 +1637,12 @@ public java.util.Map getParameterVa
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1624,10 +1656,12 @@ public java.util.Map getParameterVa
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -1647,10 +1681,12 @@ public com.google.protobuf.Value getParameterValuesOrDefault(
      *
      * 
      * The runtime parameters of the PipelineJob. The parameters will be
-     * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-     * at runtime. This field is used by pipelines built using
-     * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-     * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+     * passed into
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * to replace the placeholders at runtime. This field is used by pipelines
+     * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+     * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+     * DSL.
      * 

      *
      * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2400,12 +2436,14 @@ public int getParametersCount() {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2431,12 +2469,14 @@ public boolean containsParameters(java.lang.String key) {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2453,12 +2493,14 @@ public boolean containsParameters(java.lang.String key) {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2480,12 +2522,14 @@ public com.google.cloud.aiplatform.v1beta1.Value getParametersOrDefault(
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2515,12 +2559,14 @@ public Builder clearParameters() {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2545,12 +2591,14 @@ public Builder removeParameters(java.lang.String key) {
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2574,12 +2622,14 @@ public Builder putParameters(
        *
        *
        * 
-       * Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-       * parameters of the PipelineJob. The parameters will be passed into
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-       * This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-       * pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+       * Deprecated. Use
+       * [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+       * instead. The runtime parameters of the PipelineJob. The parameters will
+       * be passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+       * such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
        * 

        *
        * 
@@ -2598,8 +2648,8 @@ public Builder putAllParameters(
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2626,8 +2676,8 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2654,8 +2704,8 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2681,8 +2731,8 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2704,8 +2754,8 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * 
-       * Required. A path in a Cloud Storage bucket, which will be treated as the root
-       * output directory of the pipeline. It is used by the system to
+       * Required. A path in a Cloud Storage bucket, which will be treated as the
+       * root output directory of the pipeline. It is used by the system to
        * generate the paths of output artifacts. The artifact paths are generated
        * with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
        * specified output directory. The service account specified in this
@@ -2764,10 +2814,12 @@ public int getParameterValuesCount() {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2790,10 +2842,12 @@ public java.util.Map getParameterVa
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2807,10 +2861,12 @@ public java.util.Map getParameterVa
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2830,10 +2886,12 @@ public com.google.protobuf.Value getParameterValuesOrDefault(
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2860,10 +2918,12 @@ public Builder clearParameterValues() {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2886,10 +2946,12 @@ public Builder removeParameterValues(java.lang.String key) {
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -2910,10 +2972,12 @@ public Builder putParameterValues(java.lang.String key, com.google.protobuf.Valu
        *
        * 
        * The runtime parameters of the PipelineJob. The parameters will be
-       * passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-       * at runtime. This field is used by pipelines built using
-       * `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-       * using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+       * passed into
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * to replace the placeholders at runtime. This field is used by pipelines
+       * built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+       * pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+       * DSL.
        * 

        *
        * map<string, .google.protobuf.Value> parameter_values = 3;
@@ -4166,8 +4230,9 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -4190,8 +4255,9 @@ public java.lang.String getTemplateUri() {
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -4218,7 +4284,8 @@ public com.google.protobuf.ByteString getTemplateUriBytes() {
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -4236,7 +4303,8 @@ public boolean hasTemplateMetadata() {
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -4256,7 +4324,8 @@ public com.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata getTemplateM
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -7660,8 +7729,9 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7683,8 +7753,9 @@ public java.lang.String getTemplateUri() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7706,8 +7777,9 @@ public com.google.protobuf.ByteString getTemplateUriBytes() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7728,8 +7800,9 @@ public Builder setTemplateUri(java.lang.String value) {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7746,8 +7819,9 @@ public Builder clearTemplateUri() {
      *
      *
      * 
-     * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-     * be downloaded.
+     * A template uri from where the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+     * if empty, will be downloaded.
      * 

      *
      * string template_uri = 19;
@@ -7777,7 +7851,8 @@ public Builder setTemplateUriBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7794,7 +7869,8 @@ public boolean hasTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7817,7 +7893,8 @@ public com.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata getTemplateM
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7843,7 +7920,8 @@ public Builder setTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7866,7 +7944,8 @@ public Builder setTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7897,7 +7976,8 @@ public Builder mergeTemplateMetadata(
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7920,7 +8000,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7938,7 +8019,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
@@ -7960,7 +8042,8 @@ public Builder clearTemplateMetadata() {
      *
      * 
      * Output only. Pipeline template metadata. Will fill up fields if
-     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJobOrBuilder.java
index 12790de914a1..fe5103594f0e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineJobOrBuilder.java
@@ -615,8 +615,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -628,8 +629,9 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-   * be downloaded.
+   * A template uri from where the
+   * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+   * if empty, will be downloaded.
    * 

    *
    * string template_uri = 19;
@@ -643,7 +645,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -658,7 +661,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
@@ -673,7 +677,8 @@ java.lang.String getLabelsOrDefault(
    *
    * 
    * Output only. Pipeline template metadata. Will fill up fields if
-   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetail.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetail.java
index 63fb564f89cd..2b427ce7679b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetail.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetail.java
@@ -188,7 +188,8 @@ public enum State implements com.google.protobuf.ProtocolMessageEnum {
      * 
      * Specifies that the task was not triggered because the task's trigger
      * policy is not satisfied. The trigger policy is specified in the
-     * `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
+     * `condition` field of
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
      * 

      *
      * NOT_TRIGGERED = 9;
@@ -293,7 +294,8 @@ public enum State implements com.google.protobuf.ProtocolMessageEnum {
      * 
      * Specifies that the task was not triggered because the task's trigger
      * policy is not satisfied. The trigger policy is specified in the
-     * `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
+     * `condition` field of
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
      * 

      *
      * NOT_TRIGGERED = 9;
@@ -478,12 +480,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -495,12 +496,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -512,12 +512,11 @@ public interface PipelineTaskStatusOrBuilder
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -674,12 +673,11 @@ public com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.State getState() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -694,12 +692,11 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -714,12 +711,11 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. The error that occurred during the state. May be set when the state is
-     * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-     * If the state is FAILED, the error here is final and not going to be
-     * retried.
-     * If the state is a non-final state, the error indicates a system-error
-     * being retried.
+     * Output only. The error that occurred during the state. May be set when
+     * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+     * FAILED state. If the state is FAILED, the error here is final and not
+     * going to be retried. If the state is a non-final state, the error
+     * indicates a system-error being retried.
      * 

      *
      * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1466,12 +1462,11 @@ public Builder clearState() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1485,12 +1480,11 @@ public boolean hasError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1508,12 +1502,11 @@ public com.google.rpc.Status getError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1535,12 +1528,11 @@ public Builder setError(com.google.rpc.Status value) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1559,12 +1551,11 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1587,12 +1578,11 @@ public Builder mergeError(com.google.rpc.Status value) {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1612,12 +1602,11 @@ public Builder clearError() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1631,12 +1620,11 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1652,12 +1640,11 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
        *
        *
        * 
-       * Output only. The error that occurred during the state. May be set when the state is
-       * any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-       * If the state is FAILED, the error here is final and not going to be
-       * retried.
-       * If the state is a non-final state, the error indicates a system-error
-       * being retried.
+       * Output only. The error that occurred during the state. May be set when
+       * the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+       * FAILED state. If the state is FAILED, the error here is final and not
+       * going to be retried. If the state is a non-final state, the error
+       * indicates a system-error being retried.
        * 

        *
        * .google.rpc.Status error = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2808,8 +2795,8 @@ public long getTaskId() {
    *
    *
    * 
-   * Output only. The id of the parent task if the task is within a component scope.
-   * Empty if the task is at the root level.
+   * Output only. The id of the parent task if the task is within a component
+   * scope. Empty if the task is at the root level.
    * 

    *
    * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3226,8 +3213,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3243,8 +3230,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3262,8 +3249,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3278,8 +3265,8 @@ public int getPipelineTaskStatusCount() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -3295,8 +3282,8 @@ public int getPipelineTaskStatusCount() {
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -4395,8 +4382,8 @@ public Builder clearTaskId() {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4411,8 +4398,8 @@ public long getParentTaskId() {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4430,8 +4417,8 @@ public Builder setParentTaskId(long value) {
      *
      *
      * 
-     * Output only. The id of the parent task if the task is within a component scope.
-     * Empty if the task is at the root level.
+     * Output only. The id of the parent task if the task is within a component
+     * scope. Empty if the task is at the root level.
      * 

      *
      * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -5855,8 +5842,8 @@ private void ensurePipelineTaskStatusIsMutable() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5875,8 +5862,8 @@ private void ensurePipelineTaskStatusIsMutable() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5894,8 +5881,8 @@ public int getPipelineTaskStatusCount() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5914,8 +5901,8 @@ public int getPipelineTaskStatusCount() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5941,8 +5928,8 @@ public Builder setPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5966,8 +5953,8 @@ public Builder setPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -5992,8 +5979,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6019,8 +6006,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6043,8 +6030,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6068,8 +6055,8 @@ public Builder addPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6093,8 +6080,8 @@ public Builder addAllPipelineTaskStatus(
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6115,8 +6102,8 @@ public Builder clearPipelineTaskStatus() {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6137,8 +6124,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6153,8 +6140,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6173,8 +6160,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6195,8 +6182,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6214,8 +6201,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
@@ -6234,8 +6221,8 @@ public Builder removePipelineTaskStatus(int index) {
      *
      *
      * 
-     * Output only. A list of task status. This field keeps a record of task status evolving
-     * over time.
+     * Output only. A list of task status. This field keeps a record of task
+     * status evolving over time.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetailOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetailOrBuilder.java
index 331244b1539d..3338c48fcb47 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetailOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskDetailOrBuilder.java
@@ -40,8 +40,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. The id of the parent task if the task is within a component scope.
-   * Empty if the task is at the root level.
+   * Output only. The id of the parent task if the task is within a component
+   * scope. Empty if the task is at the root level.
    * 

    *
    * int64 parent_task_id = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -345,8 +345,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -359,8 +359,8 @@ public interface PipelineTaskDetailOrBuilder
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -373,8 +373,8 @@ com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.PipelineTaskStatus getPip
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -386,8 +386,8 @@ com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.PipelineTaskStatus getPip
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
@@ -402,8 +402,8 @@ com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.PipelineTaskStatus getPip
    *
    *
    * 
-   * Output only. A list of task status. This field keeps a record of task status evolving
-   * over time.
+   * Output only. A list of task status. This field keeps a record of task
+   * status evolving over time.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetail.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetail.java
index f3d3618cab3a..ab6510f98b17 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetail.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetail.java
@@ -74,7 +74,9 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container execution.
      * 

      *
      * 
@@ -88,7 +90,9 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container execution.
      * 

      *
      * 
@@ -103,10 +107,11 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -120,10 +125,11 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -138,8 +144,10 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -152,8 +160,10 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -166,8 +176,10 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -181,8 +193,10 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -197,11 +211,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -215,11 +230,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -233,11 +249,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -252,11 +269,12 @@ public interface ContainerDetailOrBuilder
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -329,7 +347,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container execution.
      * 

      *
      * 
@@ -354,7 +374,9 @@ public java.lang.String getMainJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container execution.
      * 

      *
      * 
@@ -382,10 +404,11 @@ public com.google.protobuf.ByteString getMainJobBytes() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -410,10 +433,11 @@ public java.lang.String getPreCachingCheckJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-     * execution. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * pre-caching-check container execution. This job will be available if the
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events.
      * 

      *
      * 
@@ -441,8 +465,10 @@ public com.google.protobuf.ByteString getPreCachingCheckJobBytes() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -457,8 +483,10 @@ public com.google.protobuf.ProtocolStringList getFailedMainJobsList() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -473,8 +501,10 @@ public int getFailedMainJobsCount() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -490,8 +520,10 @@ public java.lang.String getFailedMainJobs(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-     * executions. The list includes the all attempts in chronological order.
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+     * container executions. The list includes the all attempts in chronological
+     * order.
      * 

      *
      * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -510,11 +542,12 @@ public com.google.protobuf.ByteString getFailedMainJobsBytes(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -530,11 +563,12 @@ public com.google.protobuf.ProtocolStringList getFailedPreCachingCheckJobsList()
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -550,11 +584,12 @@ public int getFailedPreCachingCheckJobsCount() {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -571,11 +606,12 @@ public java.lang.String getFailedPreCachingCheckJobs(int index) {
      *
      *
      * 
-     * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+     * Output only. The names of the previously failed
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
      * pre-caching-check container executions. This job will be available if the
-     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-     * the lifecycle events.
-     * The list includes the all attempts in chronological order.
+     * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+     * specifies the `pre_caching_check` hook in the lifecycle events. The list
+     * includes the all attempts in chronological order.
      * 

      *
      * 
@@ -1061,7 +1097,9 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container execution.
        * 

        *
        * 
@@ -1085,7 +1123,9 @@ public java.lang.String getMainJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container execution.
        * 

        *
        * 
@@ -1109,7 +1149,9 @@ public com.google.protobuf.ByteString getMainJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container execution.
        * 

        *
        * 
@@ -1132,7 +1174,9 @@ public Builder setMainJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container execution.
        * 

        *
        * 
@@ -1151,7 +1195,9 @@ public Builder clearMainJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container execution.
        * 

        *
        * 
@@ -1177,10 +1223,11 @@ public Builder setMainJobBytes(com.google.protobuf.ByteString value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1204,10 +1251,11 @@ public java.lang.String getPreCachingCheckJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1231,10 +1279,11 @@ public com.google.protobuf.ByteString getPreCachingCheckJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1257,10 +1306,11 @@ public Builder setPreCachingCheckJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1279,10 +1329,11 @@ public Builder clearPreCachingCheckJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-       * execution. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * pre-caching-check container execution. This job will be available if the
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events.
        * 

        *
        * 
@@ -1316,8 +1367,10 @@ private void ensureFailedMainJobsIsMutable() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1332,8 +1385,10 @@ public com.google.protobuf.ProtocolStringList getFailedMainJobsList() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1348,8 +1403,10 @@ public int getFailedMainJobsCount() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1365,8 +1422,10 @@ public java.lang.String getFailedMainJobs(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1382,8 +1441,10 @@ public com.google.protobuf.ByteString getFailedMainJobsBytes(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1406,8 +1467,10 @@ public Builder setFailedMainJobs(int index, java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1429,8 +1492,10 @@ public Builder addFailedMainJobs(java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1449,8 +1514,10 @@ public Builder addAllFailedMainJobs(java.lang.Iterable values)
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1468,8 +1535,10 @@ public Builder clearFailedMainJobs() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-       * executions. The list includes the all attempts in chronological order.
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+       * container executions. The list includes the all attempts in chronological
+       * order.
        * 

        *
        * repeated string failed_main_jobs = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1503,11 +1572,12 @@ private void ensureFailedPreCachingCheckJobsIsMutable() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1523,11 +1593,12 @@ public com.google.protobuf.ProtocolStringList getFailedPreCachingCheckJobsList()
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1543,11 +1614,12 @@ public int getFailedPreCachingCheckJobsCount() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1564,11 +1636,12 @@ public java.lang.String getFailedPreCachingCheckJobs(int index) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1585,11 +1658,12 @@ public com.google.protobuf.ByteString getFailedPreCachingCheckJobsBytes(int inde
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1613,11 +1687,12 @@ public Builder setFailedPreCachingCheckJobs(int index, java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1640,11 +1715,12 @@ public Builder addFailedPreCachingCheckJobs(java.lang.String value) {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1664,11 +1740,12 @@ public Builder addAllFailedPreCachingCheckJobs(java.lang.Iterable
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1687,11 +1764,12 @@ public Builder clearFailedPreCachingCheckJobs() {
        *
        *
        * 
-       * Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+       * Output only. The names of the previously failed
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
        * pre-caching-check container executions. This job will be available if the
-       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-       * the lifecycle events.
-       * The list includes the all attempts in chronological order.
+       * [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+       * specifies the `pre_caching_check` hook in the lifecycle events. The list
+       * includes the all attempts in chronological order.
        * 

        *
        * 
@@ -1791,7 +1869,8 @@ public interface CustomJobDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
      * 

      *
      * 
@@ -1805,7 +1884,8 @@ public interface CustomJobDetailOrBuilder
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
      * 

      *
      * 
@@ -1874,7 +1954,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
      * 

      *
      * 
@@ -1899,7 +1980,8 @@ public java.lang.String getJob() {
      *
      *
      * 
-     * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+     * Output only. The name of the
+     * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
      * 

      *
      * 
@@ -2285,7 +2367,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
        * 

        *
        * 
@@ -2309,7 +2392,8 @@ public java.lang.String getJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
        * 

        *
        * 
@@ -2333,7 +2417,8 @@ public com.google.protobuf.ByteString getJobBytes() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
        * 

        *
        * 
@@ -2356,7 +2441,8 @@ public Builder setJob(java.lang.String value) {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
        * 

        *
        * 
@@ -2375,7 +2461,8 @@ public Builder clearJob() {
        *
        *
        * 
-       * Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+       * Output only. The name of the
+       * [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
        * 

        *
        * 
@@ -2589,7 +2676,7 @@ public boolean hasContainerDetail() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
    * @return Whether the customJobDetail field is set.
    */
   @java.lang.Override
@@ -2609,7 +2696,7 @@ public boolean hasCustomJobDetail() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
    * @return The customJobDetail.
    */
   @java.lang.Override
@@ -3337,7 +3424,7 @@ public Builder clearContainerDetail() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+     *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
      * @return Whether the customJobDetail field is set.
      */
     @java.lang.Override
@@ -3357,7 +3444,7 @@ public boolean hasCustomJobDetail() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+     *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
      * @return The customJobDetail.
      */
     @java.lang.Override
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetailOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetailOrBuilder.java
index e1044ecdf028..5ea4521c5743 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetailOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTaskExecutorDetailOrBuilder.java
@@ -78,7 +78,7 @@ public interface PipelineTaskExecutorDetailOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
    * @return Whether the customJobDetail field is set.
    */
   @java.lang.Deprecated
@@ -95,7 +95,7 @@ public interface PipelineTaskExecutorDetailOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.custom_job_detail is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=370
+   *     deprecated. See google/cloud/aiplatform/v1beta1/pipeline_job.proto;l=402
    * @return The customJobDetail.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadata.java
index a16df4411ba6..fce23071f0d8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadata.java
@@ -22,9 +22,10 @@
  *
  *
  * 
- * Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported
- * template registry. Currently, the only supported registry is Artifact
- * Registry.
+ * Pipeline template metadata if
+ * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+ * is from supported template registry. Currently, the only supported registry
+ * is Artifact Registry.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata}
@@ -76,8 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -102,8 +104,9 @@ public java.lang.String getVersion() {
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -288,9 +291,10 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported
-   * template registry. Currently, the only supported registry is Artifact
-   * Registry.
+   * Pipeline template metadata if
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry. Currently, the only supported registry
+   * is Artifact Registry.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata}
@@ -465,8 +469,9 @@ public Builder mergeFrom(
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -490,8 +495,9 @@ public java.lang.String getVersion() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -515,8 +521,9 @@ public com.google.protobuf.ByteString getVersionBytes() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -539,8 +546,9 @@ public Builder setVersion(java.lang.String value) {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
@@ -559,8 +567,9 @@ public Builder clearVersion() {
      *
      * 
      * The version_name in artifact registry.
-     * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-     * from supported template registry.
+     * Will always be presented in output if the
+     * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+     * is from supported template registry.
      * Format is "sha256:abcdef123456...".
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadataOrBuilder.java
index 0e8ba273e0f5..f3dfcc5e431f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineTemplateMetadataOrBuilder.java
@@ -28,8 +28,9 @@ public interface PipelineTemplateMetadataOrBuilder
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
@@ -43,8 +44,9 @@ public interface PipelineTemplateMetadataOrBuilder
    *
    * 
    * The version_name in artifact registry.
-   * Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-   * from supported template registry.
+   * Will always be presented in output if the
+   * [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+   * is from supported template registry.
    * Format is "sha256:abcdef123456...".
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequest.java
index 6004db1067e6..b45b1bb3478c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+ * Request message for
+ * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictRequest}
@@ -137,7 +138,8 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -159,7 +161,8 @@ public java.util.List getInstancesList() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -181,7 +184,8 @@ public java.util.List getInstances
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -203,7 +207,8 @@ public int getInstancesCount() {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -225,7 +230,8 @@ public com.google.protobuf.Value getInstances(int index) {
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -245,7 +251,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -263,7 +270,8 @@ public boolean hasParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -281,7 +289,8 @@ public com.google.protobuf.Value getParameters() {
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -481,7 +490,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+   * Request message for
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictRequest}
@@ -878,7 +888,8 @@ private void ensureInstancesIsMutable() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -904,7 +915,8 @@ public java.util.List getInstancesList() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -930,7 +942,8 @@ public int getInstancesCount() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -956,7 +969,8 @@ public com.google.protobuf.Value getInstances(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -988,7 +1002,8 @@ public Builder setInstances(int index, com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1017,7 +1032,8 @@ public Builder setInstances(int index, com.google.protobuf.Value.Builder builder
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1049,7 +1065,8 @@ public Builder addInstances(com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1081,7 +1098,8 @@ public Builder addInstances(int index, com.google.protobuf.Value value) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1110,7 +1128,8 @@ public Builder addInstances(com.google.protobuf.Value.Builder builderForValue) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1139,7 +1158,8 @@ public Builder addInstances(int index, com.google.protobuf.Value.Builder builder
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1168,7 +1188,8 @@ public Builder addAllInstances(java.lang.Iterable
@@ -1197,7 +1218,8 @@ public Builder clearInstances() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1226,7 +1248,8 @@ public Builder removeInstances(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1248,7 +1271,8 @@ public com.google.protobuf.Value.Builder getInstancesBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1274,7 +1298,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1301,7 +1326,8 @@ public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1323,7 +1349,8 @@ public com.google.protobuf.Value.Builder addInstancesBuilder() {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1346,7 +1373,8 @@ public com.google.protobuf.Value.Builder addInstancesBuilder(int index) {
      * in case of AutoML Models, or, in case of customer created Models, the
      * behaviour is as documented by that Model.
      * The schema of any single instance may be specified via Endpoint's
-     * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels'
+     * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
      * 

@@ -1387,7 +1415,8 @@ public java.util.List getInstancesBuilderList
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1404,7 +1433,8 @@ public boolean hasParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1425,7 +1455,8 @@ public com.google.protobuf.Value getParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1450,7 +1481,8 @@ public Builder setParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1472,7 +1504,8 @@ public Builder setParameters(com.google.protobuf.Value.Builder builderForValue)
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1499,7 +1532,8 @@ public Builder mergeParameters(com.google.protobuf.Value value) {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1522,7 +1556,8 @@ public Builder clearParameters() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1539,7 +1574,8 @@ public com.google.protobuf.Value.Builder getParametersBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

@@ -1558,7 +1594,8 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
      *
      * 
      * The parameters that govern the prediction. The schema of the parameters may
-     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * be specified via Endpoint's DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
      * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequestOrBuilder.java
index e64042455d0f..40e3fe3b2686 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictRequestOrBuilder.java
@@ -66,7 +66,8 @@ public interface PredictRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -85,7 +86,8 @@ public interface PredictRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -104,7 +106,8 @@ public interface PredictRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -123,7 +126,8 @@ public interface PredictRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -142,7 +146,8 @@ public interface PredictRequestOrBuilder
    * in case of AutoML Models, or, in case of customer created Models, the
    * behaviour is as documented by that Model.
    * The schema of any single instance may be specified via Endpoint's
-   * DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels'
+   * [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
    * 

@@ -157,7 +162,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -172,7 +178,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

@@ -187,7 +194,8 @@ public interface PredictRequestOrBuilder
    *
    * 
    * The parameters that govern the prediction. The schema of the parameters may
-   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * be specified via Endpoint's DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
    * 

diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponse.java
index 4d7e265cbeb0..7ace177beb1c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+ * Response message for
+ * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictResponse}
@@ -79,7 +80,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -96,7 +98,8 @@ public java.util.List getPredictionsList() {
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -114,7 +117,8 @@ public java.util.List getPredictionsList() {
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -131,7 +135,8 @@ public int getPredictionsCount() {
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -148,7 +153,8 @@ public com.google.protobuf.Value getPredictions(int index) {
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -215,8 +221,8 @@ public com.google.protobuf.ByteString getDeployedModelIdBytes() {
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -241,8 +247,8 @@ public java.lang.String getModel() {
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -270,8 +276,8 @@ public com.google.protobuf.ByteString getModelBytes() {
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -294,8 +300,8 @@ public java.lang.String getModelVersionId() {
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -321,8 +327,9 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+   * which is deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -345,8 +352,9 @@ public java.lang.String getModelDisplayName() {
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+   * which is deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -567,7 +575,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+   * Response message for
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictResponse}
@@ -853,7 +862,8 @@ private void ensurePredictionsIsMutable() {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -873,7 +883,8 @@ public java.util.List getPredictionsList() {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -893,7 +904,8 @@ public int getPredictionsCount() {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -913,7 +925,8 @@ public com.google.protobuf.Value getPredictions(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -939,7 +952,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value value) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -962,7 +976,8 @@ public Builder setPredictions(int index, com.google.protobuf.Value.Builder build
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -988,7 +1003,8 @@ public Builder addPredictions(com.google.protobuf.Value value) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1014,7 +1030,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value value) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1037,7 +1054,8 @@ public Builder addPredictions(com.google.protobuf.Value.Builder builderForValue)
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1060,7 +1078,8 @@ public Builder addPredictions(int index, com.google.protobuf.Value.Builder build
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1084,7 +1103,8 @@ public Builder addAllPredictions(
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1107,7 +1127,8 @@ public Builder clearPredictions() {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1130,7 +1151,8 @@ public Builder removePredictions(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1146,7 +1168,8 @@ public com.google.protobuf.Value.Builder getPredictionsBuilder(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1166,7 +1189,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1187,7 +1211,8 @@ public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1204,7 +1229,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder() {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1221,7 +1247,8 @@ public com.google.protobuf.Value.Builder addPredictionsBuilder(int index) {
      * 
      * The predictions that are the output of the predictions call.
      * The schema of any single prediction may be specified via Endpoint's
-     * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+     * DeployedModels' [Model's
+     * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
      * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
      * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
      * 

@@ -1360,8 +1387,8 @@ public Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1385,8 +1412,8 @@ public java.lang.String getModel() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1410,8 +1437,8 @@ public com.google.protobuf.ByteString getModelBytes() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1434,8 +1461,8 @@ public Builder setModel(java.lang.String value) {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1454,8 +1481,8 @@ public Builder clearModel() {
      *
      *
      * 
-     * Output only. The resource name of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The resource name of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * 
@@ -1481,8 +1508,8 @@ public Builder setModelBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1504,8 +1531,8 @@ public java.lang.String getModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1527,8 +1554,8 @@ public com.google.protobuf.ByteString getModelVersionIdBytes() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1549,8 +1576,8 @@ public Builder setModelVersionId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1567,8 +1594,8 @@ public Builder clearModelVersionId() {
      *
      *
      * 
-     * Output only. The version ID of the Model which is deployed as the DeployedModel that
-     * this prediction hits.
+     * Output only. The version ID of the Model which is deployed as the
+     * DeployedModel that this prediction hits.
      * 

      *
      * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1592,8 +1619,9 @@ public Builder setModelVersionIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+     * which is deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1615,8 +1643,9 @@ public java.lang.String getModelDisplayName() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+     * which is deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1638,8 +1667,9 @@ public com.google.protobuf.ByteString getModelDisplayNameBytes() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+     * which is deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1660,8 +1690,9 @@ public Builder setModelDisplayName(java.lang.String value) {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+     * which is deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1678,8 +1709,9 @@ public Builder clearModelDisplayName() {
      *
      *
      * 
-     * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-     * the DeployedModel that this prediction hits.
+     * Output only. The [display
+     * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+     * which is deployed as the DeployedModel that this prediction hits.
      * 

      *
      * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponseOrBuilder.java
index 81ac05026913..e51ca4727d74 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictResponseOrBuilder.java
@@ -29,7 +29,8 @@ public interface PredictResponseOrBuilder
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -43,7 +44,8 @@ public interface PredictResponseOrBuilder
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -57,7 +59,8 @@ public interface PredictResponseOrBuilder
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -71,7 +74,8 @@ public interface PredictResponseOrBuilder
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -85,7 +89,8 @@ public interface PredictResponseOrBuilder
    * 
    * The predictions that are the output of the predictions call.
    * The schema of any single prediction may be specified via Endpoint's
-   * DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+   * DeployedModels' [Model's
+   * ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
    * [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
    * [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
    * 

@@ -123,8 +128,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -138,8 +143,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The resource name of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The resource name of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * 
@@ -154,8 +159,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -167,8 +172,8 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The version ID of the Model which is deployed as the DeployedModel that
-   * this prediction hits.
+   * Output only. The version ID of the Model which is deployed as the
+   * DeployedModel that this prediction hits.
    * 

    *
    * string model_version_id = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -181,8 +186,9 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+   * which is deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -194,8 +200,9 @@ public interface PredictResponseOrBuilder
    *
    *
    * 
-   * Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-   * the DeployedModel that this prediction hits.
+   * Output only. The [display
+   * name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+   * which is deployed as the DeployedModel that this prediction hits.
    * 

    *
    * string model_display_name = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemata.java
index e4b7ad40497b..d64b8df8e88b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemata.java
@@ -23,8 +23,9 @@
  *
  * 
  * Contains the schemata used in Model's predictions and explanations via
- * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and
- * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+ * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict],
+ * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+ * and [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictSchemata}
@@ -77,9 +78,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -109,9 +112,11 @@ public java.lang.String getInstanceSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -144,9 +149,11 @@ public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -177,9 +184,11 @@ public java.lang.String getParametersSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -213,9 +222,12 @@ public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -245,9 +257,12 @@ public java.lang.String getPredictionSchemaUri() {
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -456,8 +471,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    * 
    * Contains the schemata used in Model's predictions and explanations via
-   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict],
+   * [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * and [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PredictSchemata}
@@ -655,9 +671,11 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -686,9 +704,11 @@ public java.lang.String getInstanceSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -717,9 +737,11 @@ public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -747,9 +769,11 @@ public Builder setInstanceSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -773,9 +797,11 @@ public Builder clearInstanceSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single instance, which are used in
+     * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+     * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+     * and
      * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -806,9 +832,11 @@ public Builder setInstanceSchemaUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -838,9 +866,11 @@ public java.lang.String getParametersSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -870,9 +900,11 @@ public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -901,9 +933,11 @@ public Builder setParametersSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -928,9 +962,11 @@ public Builder clearParametersSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-     * parameters of prediction and explanation via
-     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+     * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+     * and
      * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -962,9 +998,12 @@ public Builder setParametersSchemaUriBytes(com.google.protobuf.ByteString value)
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -993,9 +1032,12 @@ public java.lang.String getPredictionSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1024,9 +1066,12 @@ public com.google.protobuf.ByteString getPredictionSchemaUriBytes() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1054,9 +1099,12 @@ public Builder setPredictionSchemaUri(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -1080,9 +1128,12 @@ public Builder clearPredictionSchemaUri() {
      *
      *
      * 
-     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-     * of a single prediction produced by this Model, which are returned via
-     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+     * the format of a single prediction produced by this Model, which are
+     * returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+     * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+     * and
      * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
      * The schema is defined as an OpenAPI 3.0.2 [Schema
      * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemataOrBuilder.java
index 4c0a529380db..04298502123b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictSchemataOrBuilder.java
@@ -27,9 +27,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -48,9 +50,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single instance, which are used in
+   * [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+   * [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+   * and
    * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -70,9 +74,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -92,9 +98,11 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-   * parameters of prediction and explanation via
-   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+   * [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+   * and
    * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -115,9 +123,12 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -136,9 +147,12 @@ public interface PredictSchemataOrBuilder
    *
    *
    * 
-   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-   * of a single prediction produced by this Model, which are returned via
-   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing
+   * the format of a single prediction produced by this Model, which are
+   * returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+   * [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+   * and
    * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
    * The schema is defined as an OpenAPI 3.0.2 [Schema
    * Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpoints.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpoints.java
index b51d53f2c832..f7befb28d8a1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpoints.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpoints.java
@@ -227,8 +227,8 @@ public com.google.protobuf.ByteString getHealthHttpUriBytes() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -251,8 +251,8 @@ public java.lang.String getServiceAttachment() {
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -995,8 +995,8 @@ public Builder setHealthHttpUriBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1018,8 +1018,8 @@ public java.lang.String getServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1041,8 +1041,8 @@ public com.google.protobuf.ByteString getServiceAttachmentBytes() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1063,8 +1063,8 @@ public Builder setServiceAttachment(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1081,8 +1081,8 @@ public Builder clearServiceAttachment() {
      *
      *
      * 
-     * Output only. The name of the service attachment resource. Populated if private service
-     * connect is enabled.
+     * Output only. The name of the service attachment resource. Populated if
+     * private service connect is enabled.
      * 

      *
      * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpointsOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpointsOrBuilder.java
index 224d15b69d87..3fc2d6880dd8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpointsOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PrivateEndpointsOrBuilder.java
@@ -102,8 +102,8 @@ public interface PrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -115,8 +115,8 @@ public interface PrivateEndpointsOrBuilder
    *
    *
    * 
-   * Output only. The name of the service attachment resource. Populated if private service
-   * connect is enabled.
+   * Output only. The name of the service attachment resource. Populated if
+   * private service connect is enabled.
    * 

    *
    * string service_attachment = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsMetadata.java
index 58dd8abd0b15..b4a5ed68fb8a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+ * Details of operations that perform
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+   * Details of operations that perform
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsRequest.java
index 7dddcd7e6cc0..67a535c5ff3c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+ * Request message for
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+   * Request message for
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsResponse.java
index ae84154cfdce..318d0803362d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeArtifactsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+ * Response message for
+ * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsResponse}
@@ -335,7 +336,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+   * Response message for
+   * [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeArtifactsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsMetadata.java
index 013cf1aab406..f2cc8fb6def7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+ * Details of operations that perform
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+   * Details of operations that perform
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsRequest.java
index 15075081c0d5..347b2ddfb0ad 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+ * Request message for
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+   * Request message for
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsResponse.java
index 998399367aac..42bb549f81d7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeContextsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+ * Response message for
+ * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsResponse}
@@ -335,7 +336,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+   * Response message for
+   * [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeContextsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsMetadata.java
index 6dd8420d5151..24bd17065cfd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+ * Details of operations that perform
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsMetadata}
@@ -283,7 +284,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+   * Details of operations that perform
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsRequest.java
index 17451b38ec32..dc555a374396 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+ * Request message for
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+   * Request message for
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsResponse.java
index 5575deba7029..02630f2b692e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PurgeExecutionsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+ * Response message for
+ * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsResponse}
@@ -336,7 +337,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+   * Response message for
+   * [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.PurgeExecutionsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpec.java
index 572156dc510b..5d72d6195709 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpec.java
@@ -77,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -105,8 +105,8 @@ public java.lang.String getExecutorImageUri() {
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -136,9 +136,9 @@ public com.google.protobuf.ByteString getExecutorImageUriBytes() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -152,9 +152,9 @@ public com.google.protobuf.ProtocolStringList getPackageUrisList() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -168,9 +168,9 @@ public int getPackageUrisCount() {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -185,9 +185,9 @@ public java.lang.String getPackageUris(int index) {
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -891,8 +891,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -918,8 +918,8 @@ public java.lang.String getExecutorImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -945,8 +945,8 @@ public com.google.protobuf.ByteString getExecutorImageUriBytes() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -971,8 +971,8 @@ public Builder setExecutorImageUri(java.lang.String value) {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -993,8 +993,8 @@ public Builder clearExecutorImageUri() {
      *
      *
      * 
-     * Required. The URI of a container image in Artifact Registry that will run the
-     * provided Python package. Vertex AI provides a wide range of executor
+     * Required. The URI of a container image in Artifact Registry that will run
+     * the provided Python package. Vertex AI provides a wide range of executor
      * images with pre-installed packages to meet users' various use cases. See
      * the list of [pre-built containers for
      * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -1030,9 +1030,9 @@ private void ensurePackageUrisIsMutable() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1046,9 +1046,9 @@ public com.google.protobuf.ProtocolStringList getPackageUrisList() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1062,9 +1062,9 @@ public int getPackageUrisCount() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1079,9 +1079,9 @@ public java.lang.String getPackageUris(int index) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1096,9 +1096,9 @@ public com.google.protobuf.ByteString getPackageUrisBytes(int index) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1120,9 +1120,9 @@ public Builder setPackageUris(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1143,9 +1143,9 @@ public Builder addPackageUris(java.lang.String value) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1163,9 +1163,9 @@ public Builder addAllPackageUris(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1182,9 +1182,9 @@ public Builder clearPackageUris() {
      *
      *
      * 
-     * Required. The Google Cloud Storage location of the Python package files which are
-     * the training program and its dependent packages.
-     * The maximum number of package URIs is 100.
+     * Required. The Google Cloud Storage location of the Python package files
+     * which are the training program and its dependent packages. The maximum
+     * number of package URIs is 100.
      * 

      *
      * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpecOrBuilder.java
index d89b44800ecc..f6e2dc771df7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PythonPackageSpecOrBuilder.java
@@ -27,8 +27,8 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -44,8 +44,8 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The URI of a container image in Artifact Registry that will run the
-   * provided Python package. Vertex AI provides a wide range of executor
+   * Required. The URI of a container image in Artifact Registry that will run
+   * the provided Python package. Vertex AI provides a wide range of executor
    * images with pre-installed packages to meet users' various use cases. See
    * the list of [pre-built containers for
    * training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
@@ -62,9 +62,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -76,9 +76,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -90,9 +90,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -105,9 +105,9 @@ public interface PythonPackageSpecOrBuilder
    *
    *
    * 
-   * Required. The Google Cloud Storage location of the Python package files which are
-   * the training program and its dependent packages.
-   * The maximum number of package URIs is 100.
+   * Required. The Google Cloud Storage location of the Python package files
+   * which are the training program and its dependent packages. The maximum
+   * number of package URIs is 100.
    * 

    *
    * repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequest.java
index ae4592442175..261776da7731 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
+ * Request message for
+ * [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryArtifactLineageSubgraphRequest}
@@ -76,9 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -107,9 +107,8 @@ public java.lang.String getArtifact() {
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -425,7 +424,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
+   * Request message for
+   * [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryArtifactLineageSubgraphRequest}
@@ -631,9 +631,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -661,9 +660,8 @@ public java.lang.String getArtifact() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -691,9 +689,8 @@ public com.google.protobuf.ByteString getArtifactBytes() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -720,9 +717,8 @@ public Builder setArtifact(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
@@ -745,9 +741,8 @@ public Builder clearArtifact() {
      *
      *
      * 
-     * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-     * LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Artifact whose Lineage needs to be
+     * retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * The request may error with FAILED_PRECONDITION if the number of Artifacts,
      * the number of Executions, or the number of Events that would be returned
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequestOrBuilder.java
index 5eabc038019f..039c9e819f21 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryArtifactLineageSubgraphRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface QueryArtifactLineageSubgraphRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
@@ -47,9 +46,8 @@ public interface QueryArtifactLineageSubgraphRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-   * LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Artifact whose Lineage needs to be
+   * retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * The request may error with FAILED_PRECONDITION if the number of Artifacts,
    * the number of Executions, or the number of Events that would be returned
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryContextLineageSubgraphRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryContextLineageSubgraphRequest.java
index ad62f78307a1..0f0a5e2f5e80 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryContextLineageSubgraphRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryContextLineageSubgraphRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
+ * Request message for
+ * [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryContextLineageSubgraphRequest}
@@ -298,7 +299,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
+   * Request message for
+   * [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryContextLineageSubgraphRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequest.java
index cf088d7195db..e0df8501cf5b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
+ * Request message for
+ * [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryExecutionInputsAndOutputsRequest}
@@ -76,9 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -104,9 +104,8 @@ public java.lang.String getExecution() {
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -295,7 +294,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
+   * Request message for
+   * [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.QueryExecutionInputsAndOutputsRequest}
@@ -477,9 +477,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -504,9 +503,8 @@ public java.lang.String getExecution() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -531,9 +529,8 @@ public com.google.protobuf.ByteString getExecutionBytes() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -557,9 +554,8 @@ public Builder setExecution(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -579,9 +575,8 @@ public Builder clearExecution() {
      *
      *
      * 
-     * Required. The resource name of the Execution whose input and output Artifacts should
-     * be retrieved as a LineageSubgraph.
-     * Format:
+     * Required. The resource name of the Execution whose input and output
+     * Artifacts should be retrieved as a LineageSubgraph. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
index 93a3ba967cda..f37ce0b579ac 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/QueryExecutionInputsAndOutputsRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface QueryExecutionInputsAndOutputsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -44,9 +43,8 @@ public interface QueryExecutionInputsAndOutputsRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the Execution whose input and output Artifacts should
-   * be retrieved as a LineageSubgraph.
-   * Format:
+   * Required. The resource name of the Execution whose input and output
+   * Artifacts should be retrieved as a LineageSubgraph. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequest.java
index 6397ed074b56..587545f14d16 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
+ * Request message for
+ * [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.RawPredictRequest}
@@ -131,16 +132,18 @@ public com.google.protobuf.ByteString getEndpointBytes() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
@@ -156,16 +159,18 @@ public boolean hasHttpBody() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
@@ -181,16 +186,18 @@ public com.google.api.HttpBody getHttpBody() {
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
@@ -378,7 +385,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
+   * Request message for
+   * [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.RawPredictRequest}
@@ -702,16 +710,18 @@ public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -726,16 +736,18 @@ public boolean hasHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -754,16 +766,18 @@ public com.google.api.HttpBody getHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -786,16 +800,18 @@ public Builder setHttpBody(com.google.api.HttpBody value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -815,16 +831,18 @@ public Builder setHttpBody(com.google.api.HttpBody.Builder builderForValue) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -848,16 +866,18 @@ public Builder mergeHttpBody(com.google.api.HttpBody value) {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -878,16 +898,18 @@ public Builder clearHttpBody() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -902,16 +924,18 @@ public com.google.api.HttpBody.Builder getHttpBodyBuilder() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
@@ -928,16 +952,18 @@ public com.google.api.HttpBodyOrBuilder getHttpBodyOrBuilder() {
      *
      * 
      * The prediction input. Supports HTTP headers and arbitrary data payload.
-     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-     * supports per request. When this limit it is exceeded for an AutoML model,
-     * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-     * When this limit is exceeded for a custom-trained model, the behavior varies
-     * depending on the model.
+     * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+     * an upper limit on the number of instances it supports per request. When
+     * this limit it is exceeded for an AutoML model, the
+     * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+     * method returns an error. When this limit is exceeded for a custom-trained
+     * model, the behavior varies depending on the model.
      * You can specify the schema for each instance in the
      * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-     * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-     * method.
+     * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+     * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+     * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+     * `RawPredict` method.
      * 

      *
      * .google.api.HttpBody http_body = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequestOrBuilder.java
index a230c5906908..5e870f161bb4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RawPredictRequestOrBuilder.java
@@ -61,16 +61,18 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
@@ -83,16 +85,18 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
@@ -105,16 +109,18 @@ public interface RawPredictRequestOrBuilder
    *
    * 
    * The prediction input. Supports HTTP headers and arbitrary data payload.
-   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-   * supports per request. When this limit it is exceeded for an AutoML model,
-   * the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-   * When this limit is exceeded for a custom-trained model, the behavior varies
-   * depending on the model.
+   * A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+   * an upper limit on the number of instances it supports per request. When
+   * this limit it is exceeded for an AutoML model, the
+   * [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+   * method returns an error. When this limit is exceeded for a custom-trained
+   * model, the behavior varies depending on the model.
    * You can specify the schema for each instance in the
    * [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-   * `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-   * method.
+   * field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+   * This schema applies when you deploy the `Model` as a `DeployedModel` to an
+   * [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+   * `RawPredict` method.
    * 

    *
    * .google.api.HttpBody http_body = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesRequest.java
index daff98ae3901..50d2411b767a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+ * Request message for
+ * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest}
@@ -424,7 +425,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+   * Request message for
+   * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesResponse.java
index 5613d561acc8..0f233f4b42a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+ * Response message for
+ * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse}
@@ -739,7 +740,8 @@ public interface HeaderOrBuilder
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -753,7 +755,8 @@ public interface HeaderOrBuilder
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -841,7 +844,8 @@ public interface HeaderOrBuilder
    *
    * 
    * Response header with metadata for the requested
-   * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.
+   * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type]
+   * and Features.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header}
@@ -894,7 +898,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -919,7 +924,8 @@ public java.lang.String getEntityType() {
      *
      * 
      * The resource name of the EntityType from the
-     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+     * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+     * Value format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
      * 

      *
@@ -1212,7 +1218,8 @@ protected Builder newBuilderForType(
      *
      * 
      * Response header with metadata for the requested
-     * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.
+     * [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type]
+     * and Features.
      * 

      *
      * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header}
@@ -1457,7 +1464,8 @@ public Builder mergeFrom(
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1481,7 +1489,8 @@ public java.lang.String getEntityType() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1505,7 +1514,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1528,7 +1538,8 @@ public Builder setEntityType(java.lang.String value) {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -1547,7 +1558,8 @@ public Builder clearEntityType() {
        *
        * 
        * The resource name of the EntityType from the
-       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+       * [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+       * Value format:
        * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
        * 

        *
@@ -2121,7 +2133,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2138,7 +2151,8 @@ public interface EntityViewOrBuilder
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2155,7 +2169,8 @@ com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data ge
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2171,7 +2186,8 @@ com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data ge
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -2191,7 +2207,8 @@ com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data ge
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3569,7 +3586,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3590,7 +3608,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3613,7 +3632,8 @@ public com.google.protobuf.ByteString getEntityIdBytes() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3632,7 +3652,8 @@ public int getDataCount() {
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -3652,7 +3673,8 @@ public com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.
      * requested values for one requested Feature. If no values
      * for the requested Feature exist, the corresponding cell will be empty.
      * This has the same size and is in the same order as the features from the
-     * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+     * header
+     * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
      * 

      *
      * 
@@ -4224,7 +4246,8 @@ private void ensureDataIsMutable() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4248,7 +4271,8 @@ private void ensureDataIsMutable() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4270,7 +4294,8 @@ public int getDataCount() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4293,7 +4318,8 @@ public com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4323,7 +4349,8 @@ public Builder setData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4351,7 +4378,8 @@ public Builder setData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4380,7 +4408,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4410,7 +4439,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4437,7 +4467,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4465,7 +4496,8 @@ public Builder addData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4494,7 +4526,8 @@ public Builder addAllData(
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4519,7 +4552,8 @@ public Builder clearData() {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4544,7 +4578,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4563,7 +4598,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4586,7 +4622,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4612,7 +4649,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4634,7 +4672,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -4657,7 +4696,8 @@ public Builder removeData(int index) {
        * requested values for one requested Feature. If no values
        * for the requested Feature exist, the corresponding cell will be empty.
        * This has the same size and is in the same order as the features from the
-       * header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+       * header
+       * [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
        * 

        *
        * 
@@ -5052,7 +5092,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+   * Response message for
+   * [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataRequest.java
index 4a6f5c3c913a..9c70977e9227 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+ * Request message for
+ * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest}
@@ -368,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+   * Request message for
+   * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataResponse.java
index 663183b8871f..8e4e146f3c8a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+ * Response message for
+ * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse}
@@ -304,7 +305,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+   * Response message for
+   * [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataRequest.java
index c586af123a7f..56fd2fca516a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+ * Request message for
+ * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest}
@@ -380,7 +381,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+   * Request message for
+   * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataResponse.java
index 1f17d2dd9688..de83645af075 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardTimeSeriesDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+ * Response message for
+ * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+   * Response message for
+   * [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequest.java
new file mode 100644
index 000000000000..750c94235c3d
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequest.java
@@ -0,0 +1,650 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Request message for [TensorboardService.GetTensorboardUsage][].
+ * 

+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest}
+ */
+public final class ReadTensorboardUsageRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)
+    ReadTensorboardUsageRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ReadTensorboardUsageRequest.newBuilder() to construct.
+  private ReadTensorboardUsageRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ReadTensorboardUsageRequest() {
+    tensorboard_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ReadTensorboardUsageRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.class,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.Builder.class);
+  }
+
+  public static final int TENSORBOARD_FIELD_NUMBER = 1;
+  private volatile java.lang.Object tensorboard_;
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The tensorboard.
+   */
+  @java.lang.Override
+  public java.lang.String getTensorboard() {
+    java.lang.Object ref = tensorboard_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      tensorboard_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The bytes for tensorboard.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTensorboardBytes() {
+    java.lang.Object ref = tensorboard_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      tensorboard_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(tensorboard_)) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, tensorboard_);
+    }
+    getUnknownFields().writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(tensorboard_)) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, tensorboard_);
+    }
+    size += getUnknownFields().getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest other =
+        (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest) obj;
+
+    if (!getTensorboard().equals(other.getTensorboard())) return false;
+    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TENSORBOARD_FIELD_NUMBER;
+    hash = (53 * hash) + getTensorboard().hashCode();
+    hash = (29 * hash) + getUnknownFields().hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Request message for [TensorboardService.GetTensorboardUsage][].
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.class,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.newBuilder()
+    private Builder() {}
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      tensorboard_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest build() {
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest result =
+          new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest(this);
+      result.tensorboard_ = tensorboard_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.getDefaultInstance())
+        return this;
+      if (!other.getTensorboard().isEmpty()) {
+        tensorboard_ = other.tensorboard_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.getUnknownFields());
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                tensorboard_ = input.readStringRequireUtf8();
+
+                break;
+              } // case 10
+            default:
+              {
+                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                  done = true; // was an endgroup tag
+                }
+                break;
+              } // default:
+          } // switch (tag)
+        } // while (!done)
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.unwrapIOException();
+      } finally {
+        onChanged();
+      } // finally
+      return this;
+    }
+
+    private java.lang.Object tensorboard_ = "";
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return The tensorboard.
+     */
+    public java.lang.String getTensorboard() {
+      java.lang.Object ref = tensorboard_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        tensorboard_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return The bytes for tensorboard.
+     */
+    public com.google.protobuf.ByteString getTensorboardBytes() {
+      java.lang.Object ref = tensorboard_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        tensorboard_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @param value The tensorboard to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTensorboard(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      tensorboard_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTensorboard() {
+
+      tensorboard_ = getDefaultInstance().getTensorboard();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Required. The name of the Tensorboard resource.
+     * Format:
+     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+     * 

+     *
+     * 
+     * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * 
+     *
+     * @param value The bytes for tensorboard to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTensorboardBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      tensorboard_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)
+  private static final com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ReadTensorboardUsageRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          Builder builder = newBuilder();
+          try {
+            builder.mergeFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(builder.buildPartial());
+          } catch (com.google.protobuf.UninitializedMessageException e) {
+            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(builder.buildPartial());
+          }
+          return builder.buildPartial();
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequestOrBuilder.java
new file mode 100644
index 000000000000..1261e9e57b52
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ReadTensorboardUsageRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The tensorboard.
+   */
+  java.lang.String getTensorboard();
+  /**
+   *
+   *
+   * 
+   * Required. The name of the Tensorboard resource.
+   * Format:
+   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+   * 

+   *
+   * 
+   * string tensorboard = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * 
+   *
+   * @return The bytes for tensorboard.
+   */
+  com.google.protobuf.ByteString getTensorboardBytes();
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponse.java
new file mode 100644
index 000000000000..ee86a141e93e
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponse.java
@@ -0,0 +1,2765 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * 
+ * Response message for [TensorboardService.GetTensorboardUsage][].
+ * 

+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse}
+ */
+public final class ReadTensorboardUsageResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)
+    ReadTensorboardUsageResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ReadTensorboardUsageResponse.newBuilder() to construct.
+  private ReadTensorboardUsageResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+    super(builder);
+  }
+
+  private ReadTensorboardUsageResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ReadTensorboardUsageResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 1:
+        return internalGetMonthlyUsageData();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.class,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.Builder.class);
+  }
+
+  public interface PerUserUsageDataOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The username.
+     */
+    java.lang.String getUsername();
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The bytes for username.
+     */
+    com.google.protobuf.ByteString getUsernameBytes();
+
+    /**
+     *
+     *
+     * 
+     * Number of times the user has read data within the Tensorboard.
+     * 

+     *
+     * int64 view_count = 2;
+     *
+     * @return The viewCount.
+     */
+    long getViewCount();
+  }
+  /**
+   *
+   *
+   * 
+   * Per user usage data.
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData}
+   */
+  public static final class PerUserUsageData extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+      PerUserUsageDataOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PerUserUsageData.newBuilder() to construct.
+    private PerUserUsageData(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private PerUserUsageData() {
+      username_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PerUserUsageData();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                  .class,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                  .Builder.class);
+    }
+
+    public static final int USERNAME_FIELD_NUMBER = 1;
+    private volatile java.lang.Object username_;
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The username.
+     */
+    @java.lang.Override
+    public java.lang.String getUsername() {
+      java.lang.Object ref = username_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        username_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * 
+     * User's username
+     * 

+     *
+     * string username = 1;
+     *
+     * @return The bytes for username.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getUsernameBytes() {
+      java.lang.Object ref = username_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        username_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int VIEW_COUNT_FIELD_NUMBER = 2;
+    private long viewCount_;
+    /**
+     *
+     *
+     * 
+     * Number of times the user has read data within the Tensorboard.
+     * 

+     *
+     * int64 view_count = 2;
+     *
+     * @return The viewCount.
+     */
+    @java.lang.Override
+    public long getViewCount() {
+      return viewCount_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(username_)) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, username_);
+      }
+      if (viewCount_ != 0L) {
+        output.writeInt64(2, viewCount_);
+      }
+      getUnknownFields().writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(username_)) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, username_);
+      }
+      if (viewCount_ != 0L) {
+        size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, viewCount_);
+      }
+      size += getUnknownFields().getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData other =
+          (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData) obj;
+
+      if (!getUsername().equals(other.getUsername())) return false;
+      if (getViewCount() != other.getViewCount()) return false;
+      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + USERNAME_FIELD_NUMBER;
+      hash = (53 * hash) + getUsername().hashCode();
+      hash = (37 * hash) + VIEW_COUNT_FIELD_NUMBER;
+      hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getViewCount());
+      hash = (29 * hash) + getUnknownFields().hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Per user usage data.
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .class,
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData.newBuilder()
+      private Builder() {}
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        username_ = "";
+
+        viewCount_ = 0L;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+          build() {
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+          buildPartial() {
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData result =
+            new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData(
+                this);
+        result.username_ = username_;
+        result.viewCount_ = viewCount_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData other) {
+        if (other
+            == com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                .getDefaultInstance()) return this;
+        if (!other.getUsername().isEmpty()) {
+          username_ = other.username_;
+          onChanged();
+        }
+        if (other.getViewCount() != 0L) {
+          setViewCount(other.getViewCount());
+        }
+        this.mergeUnknownFields(other.getUnknownFields());
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  username_ = input.readStringRequireUtf8();
+
+                  break;
+                } // case 10
+              case 16:
+                {
+                  viewCount_ = input.readInt64();
+
+                  break;
+                } // case 16
+              default:
+                {
+                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                    done = true; // was an endgroup tag
+                  }
+                  break;
+                } // default:
+            } // switch (tag)
+          } // while (!done)
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.unwrapIOException();
+        } finally {
+          onChanged();
+        } // finally
+        return this;
+      }
+
+      private java.lang.Object username_ = "";
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return The username.
+       */
+      public java.lang.String getUsername() {
+        java.lang.Object ref = username_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          username_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return The bytes for username.
+       */
+      public com.google.protobuf.ByteString getUsernameBytes() {
+        java.lang.Object ref = username_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          username_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @param value The username to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUsername(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        username_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearUsername() {
+
+        username_ = getDefaultInstance().getUsername();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * User's username
+       * 

+       *
+       * string username = 1;
+       *
+       * @param value The bytes for username to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUsernameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        username_ = value;
+        onChanged();
+        return this;
+      }
+
+      private long viewCount_;
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @return The viewCount.
+       */
+      @java.lang.Override
+      public long getViewCount() {
+        return viewCount_;
+      }
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @param value The viewCount to set.
+       * @return This builder for chaining.
+       */
+      public Builder setViewCount(long value) {
+
+        viewCount_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Number of times the user has read data within the Tensorboard.
+       * 

+       *
+       * int64 view_count = 2;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearViewCount() {
+
+        viewCount_ = 0L;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData)
+    private static final com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+            .PerUserUsageData
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public PerUserUsageData parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            Builder builder = newBuilder();
+            try {
+              builder.mergeFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              throw e.setUnfinishedMessage(builder.buildPartial());
+            } catch (com.google.protobuf.UninitializedMessageException e) {
+              throw e.asInvalidProtocolBufferException()
+                  .setUnfinishedMessage(builder.buildPartial());
+            } catch (java.io.IOException e) {
+              throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                  .setUnfinishedMessage(builder.buildPartial());
+            }
+            return builder.buildPartial();
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface PerMonthUsageDataOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData>
+        getUserUsageDataList();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        getUserUsageData(int index);
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    int getUserUsageDataCount();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                    .PerUserUsageDataOrBuilder>
+        getUserUsageDataOrBuilderList();
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageDataOrBuilder
+        getUserUsageDataOrBuilder(int index);
+  }
+  /**
+   *
+   *
+   * 
+   * Per month usage data
+   * 

+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData}
+   */
+  public static final class PerMonthUsageData extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+      PerMonthUsageDataOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PerMonthUsageData.newBuilder() to construct.
+    private PerMonthUsageData(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+      super(builder);
+    }
+
+    private PerMonthUsageData() {
+      userUsageData_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PerMonthUsageData();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                  .class,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                  .Builder.class);
+    }
+
+    public static final int USER_USAGE_DATA_FIELD_NUMBER = 1;
+    private java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData>
+        userUsageData_;
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData>
+        getUserUsageDataList() {
+      return userUsageData_;
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                    .PerUserUsageDataOrBuilder>
+        getUserUsageDataOrBuilderList() {
+      return userUsageData_;
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public int getUserUsageDataCount() {
+      return userUsageData_.size();
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+        getUserUsageData(int index) {
+      return userUsageData_.get(index);
+    }
+    /**
+     *
+     *
+     * 
+     * Usage data for each user in the given month.
+     * 

+     *
+     * 
+     * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+            .PerUserUsageDataOrBuilder
+        getUserUsageDataOrBuilder(int index) {
+      return userUsageData_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      for (int i = 0; i < userUsageData_.size(); i++) {
+        output.writeMessage(1, userUsageData_.get(i));
+      }
+      getUnknownFields().writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      for (int i = 0; i < userUsageData_.size(); i++) {
+        size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, userUsageData_.get(i));
+      }
+      size += getUnknownFields().getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData other =
+          (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData) obj;
+
+      if (!getUserUsageDataList().equals(other.getUserUsageDataList())) return false;
+      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (getUserUsageDataCount() > 0) {
+        hash = (37 * hash) + USER_USAGE_DATA_FIELD_NUMBER;
+        hash = (53 * hash) + getUserUsageDataList().hashCode();
+      }
+      hash = (29 * hash) + getUnknownFields().hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * 
+     * Per month usage data
+     * 

+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+            .PerMonthUsageDataOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                    .class,
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData.newBuilder()
+      private Builder() {}
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (userUsageDataBuilder_ == null) {
+          userUsageData_ = java.util.Collections.emptyList();
+        } else {
+          userUsageData_ = null;
+          userUsageDataBuilder_.clear();
+        }
+        bitField0_ = (bitField0_ & ~0x00000001);
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+          build() {
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+          buildPartial() {
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData result =
+            new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData(
+                this);
+        int from_bitField0_ = bitField0_;
+        if (userUsageDataBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            userUsageData_ = java.util.Collections.unmodifiableList(userUsageData_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.userUsageData_ = userUsageData_;
+        } else {
+          result.userUsageData_ = userUsageDataBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                .getDefaultInstance()) return this;
+        if (userUsageDataBuilder_ == null) {
+          if (!other.userUsageData_.isEmpty()) {
+            if (userUsageData_.isEmpty()) {
+              userUsageData_ = other.userUsageData_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureUserUsageDataIsMutable();
+              userUsageData_.addAll(other.userUsageData_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.userUsageData_.isEmpty()) {
+            if (userUsageDataBuilder_.isEmpty()) {
+              userUsageDataBuilder_.dispose();
+              userUsageDataBuilder_ = null;
+              userUsageData_ = other.userUsageData_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              userUsageDataBuilder_ =
+                  com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                      ? getUserUsageDataFieldBuilder()
+                      : null;
+            } else {
+              userUsageDataBuilder_.addAllMessages(other.userUsageData_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.getUnknownFields());
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                      m =
+                          input.readMessage(
+                              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                                  .PerUserUsageData.parser(),
+                              extensionRegistry);
+                  if (userUsageDataBuilder_ == null) {
+                    ensureUserUsageDataIsMutable();
+                    userUsageData_.add(m);
+                  } else {
+                    userUsageDataBuilder_.addMessage(m);
+                  }
+                  break;
+                } // case 10
+              default:
+                {
+                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                    done = true; // was an endgroup tag
+                  }
+                  break;
+                } // default:
+            } // switch (tag)
+          } // while (!done)
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.unwrapIOException();
+        } finally {
+          onChanged();
+        } // finally
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.util.List<
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData>
+          userUsageData_ = java.util.Collections.emptyList();
+
+      private void ensureUserUsageDataIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          userUsageData_ =
+              new java.util.ArrayList<
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                      .PerUserUsageData>(userUsageData_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                  .Builder,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                  .PerUserUsageDataOrBuilder>
+          userUsageDataBuilder_;
+
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData>
+          getUserUsageDataList() {
+        if (userUsageDataBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(userUsageData_);
+        } else {
+          return userUsageDataBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public int getUserUsageDataCount() {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.size();
+        } else {
+          return userUsageDataBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+          getUserUsageData(int index) {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.get(index);
+        } else {
+          return userUsageDataBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder setUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.set(index, value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder setUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData value) {
+        if (userUsageDataBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(index, value);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addUserUsageData(
+          int index,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData.Builder
+              builderForValue) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder addAllUserUsageData(
+          java.lang.Iterable<
+                  ? extends
+                      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                          .PerUserUsageData>
+              values) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, userUsageData_);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder clearUserUsageData() {
+        if (userUsageDataBuilder_ == null) {
+          userUsageData_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public Builder removeUserUsageData(int index) {
+        if (userUsageDataBuilder_ == null) {
+          ensureUserUsageDataIsMutable();
+          userUsageData_.remove(index);
+          onChanged();
+        } else {
+          userUsageDataBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+              .Builder
+          getUserUsageDataBuilder(int index) {
+        return getUserUsageDataFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+              .PerUserUsageDataOrBuilder
+          getUserUsageDataOrBuilder(int index) {
+        if (userUsageDataBuilder_ == null) {
+          return userUsageData_.get(index);
+        } else {
+          return userUsageDataBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              ? extends
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                      .PerUserUsageDataOrBuilder>
+          getUserUsageDataOrBuilderList() {
+        if (userUsageDataBuilder_ != null) {
+          return userUsageDataBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(userUsageData_);
+        }
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+              .Builder
+          addUserUsageDataBuilder() {
+        return getUserUsageDataFieldBuilder()
+            .addBuilder(
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+              .Builder
+          addUserUsageDataBuilder(int index) {
+        return getUserUsageDataFieldBuilder()
+            .addBuilder(
+                index,
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * 
+       * Usage data for each user in the given month.
+       * 

+       *
+       * 
+       * repeated .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData user_usage_data = 1;
+       * 
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                  .Builder>
+          getUserUsageDataBuilderList() {
+        return getUserUsageDataFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                  .Builder,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                  .PerUserUsageDataOrBuilder>
+          getUserUsageDataFieldBuilder() {
+        if (userUsageDataBuilder_ == null) {
+          userUsageDataBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData,
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
+                      .Builder,
+                  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                      .PerUserUsageDataOrBuilder>(
+                  userUsageData_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          userUsageData_ = null;
+        }
+        return userUsageDataBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData)
+    private static final com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+            .PerMonthUsageData
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser PARSER =
+        new com.google.protobuf.AbstractParser() {
+          @java.lang.Override
+          public PerMonthUsageData parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            Builder builder = newBuilder();
+            try {
+              builder.mergeFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              throw e.setUnfinishedMessage(builder.buildPartial());
+            } catch (com.google.protobuf.UninitializedMessageException e) {
+              throw e.asInvalidProtocolBufferException()
+                  .setUnfinishedMessage(builder.buildPartial());
+            } catch (java.io.IOException e) {
+              throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                  .setUnfinishedMessage(builder.buildPartial());
+            }
+            return builder.buildPartial();
+          }
+        };
+
+    public static com.google.protobuf.Parser parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int MONTHLY_USAGE_DATA_FIELD_NUMBER = 1;
+
+  private static final class MonthlyUsageDataDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        defaultEntry =
+            com.google.protobuf.MapEntry
+                .
+                    newDefaultInstance(
+                        com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+                            .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor,
+                        com.google.protobuf.WireFormat.FieldType.STRING,
+                        "",
+                        com.google.protobuf.WireFormat.FieldType.MESSAGE,
+                        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                            .PerMonthUsageData.getDefaultInstance());
+  }
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      monthlyUsageData_;
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      internalGetMonthlyUsageData() {
+    if (monthlyUsageData_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+    }
+    return monthlyUsageData_;
+  }
+
+  public int getMonthlyUsageDataCount() {
+    return internalGetMonthlyUsageData().getMap().size();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public boolean containsMonthlyUsageData(java.lang.String key) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    return internalGetMonthlyUsageData().getMap().containsKey(key);
+  }
+  /** Use {@link #getMonthlyUsageDataMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageData() {
+    return getMonthlyUsageDataMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageDataMap() {
+    return internalGetMonthlyUsageData().getMap();
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+              defaultValue) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        map = internalGetMonthlyUsageData().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new NullPointerException("map key");
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        map = internalGetMonthlyUsageData().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetMonthlyUsageData(), MonthlyUsageDataDefaultEntryHolder.defaultEntry, 1);
+    getUnknownFields().writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (java.util.Map.Entry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        entry : internalGetMonthlyUsageData().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          monthlyUsageData__ =
+              MonthlyUsageDataDefaultEntryHolder.defaultEntry
+                  .newBuilderForType()
+                  .setKey(entry.getKey())
+                  .setValue(entry.getValue())
+                  .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, monthlyUsageData__);
+    }
+    size += getUnknownFields().getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse other =
+        (com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse) obj;
+
+    if (!internalGetMonthlyUsageData().equals(other.internalGetMonthlyUsageData())) return false;
+    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetMonthlyUsageData().getMap().isEmpty()) {
+      hash = (37 * hash) + MONTHLY_USAGE_DATA_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetMonthlyUsageData().hashCode();
+    }
+    hash = (29 * hash) + getUnknownFields().hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * 
+   * Response message for [TensorboardService.GetTensorboardUsage][].
+   * 

+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMonthlyUsageData();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMutableMonthlyUsageData();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.class,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.newBuilder()
+    private Builder() {}
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      internalGetMutableMonthlyUsageData().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse build() {
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse result =
+          new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse(this);
+      int from_bitField0_ = bitField0_;
+      result.monthlyUsageData_ = internalGetMonthlyUsageData();
+      result.monthlyUsageData_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.getDefaultInstance())
+        return this;
+      internalGetMutableMonthlyUsageData().mergeFrom(other.internalGetMonthlyUsageData());
+      this.mergeUnknownFields(other.getUnknownFields());
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                com.google.protobuf.MapEntry<
+                        java.lang.String,
+                        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+                            .PerMonthUsageData>
+                    monthlyUsageData__ =
+                        input.readMessage(
+                            MonthlyUsageDataDefaultEntryHolder.defaultEntry.getParserForType(),
+                            extensionRegistry);
+                internalGetMutableMonthlyUsageData()
+                    .getMutableMap()
+                    .put(monthlyUsageData__.getKey(), monthlyUsageData__.getValue());
+                break;
+              } // case 10
+            default:
+              {
+                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
+                  done = true; // was an endgroup tag
+                }
+                break;
+              } // default:
+          } // switch (tag)
+        } // while (!done)
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.unwrapIOException();
+      } finally {
+        onChanged();
+      } // finally
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        monthlyUsageData_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        internalGetMonthlyUsageData() {
+      if (monthlyUsageData_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+      }
+      return monthlyUsageData_;
+    }
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        internalGetMutableMonthlyUsageData() {
+      onChanged();
+      ;
+      if (monthlyUsageData_ == null) {
+        monthlyUsageData_ =
+            com.google.protobuf.MapField.newMapField(
+                MonthlyUsageDataDefaultEntryHolder.defaultEntry);
+      }
+      if (!monthlyUsageData_.isMutable()) {
+        monthlyUsageData_ = monthlyUsageData_.copy();
+      }
+      return monthlyUsageData_;
+    }
+
+    public int getMonthlyUsageDataCount() {
+      return internalGetMonthlyUsageData().getMap().size();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public boolean containsMonthlyUsageData(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      return internalGetMonthlyUsageData().getMap().containsKey(key);
+    }
+    /** Use {@link #getMonthlyUsageDataMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMonthlyUsageData() {
+      return getMonthlyUsageDataMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMonthlyUsageDataMap() {
+      return internalGetMonthlyUsageData().getMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getMonthlyUsageDataOrDefault(
+            java.lang.String key,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+                defaultValue) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          map = internalGetMonthlyUsageData().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+        getMonthlyUsageDataOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+          map = internalGetMonthlyUsageData().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearMonthlyUsageData() {
+      internalGetMutableMonthlyUsageData().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder removeMonthlyUsageData(java.lang.String key) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      internalGetMutableMonthlyUsageData().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+        getMutableMonthlyUsageData() {
+      return internalGetMutableMonthlyUsageData().getMutableMap();
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder putMonthlyUsageData(
+        java.lang.String key,
+        com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData value) {
+      if (key == null) {
+        throw new NullPointerException("map key");
+      }
+      if (value == null) {
+        throw new NullPointerException("map value");
+      }
+
+      internalGetMutableMonthlyUsageData().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * 
+     * Maps year-month (YYYYMM) string to per month usage data.
+     * 

+     *
+     * 
+     * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+     * 
+     */
+    public Builder putAllMonthlyUsageData(
+        java.util.Map<
+                java.lang.String,
+                com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+            values) {
+      internalGetMutableMonthlyUsageData().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)
+  private static final com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser PARSER =
+      new com.google.protobuf.AbstractParser() {
+        @java.lang.Override
+        public ReadTensorboardUsageResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          Builder builder = newBuilder();
+          try {
+            builder.mergeFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(builder.buildPartial());
+          } catch (com.google.protobuf.UninitializedMessageException e) {
+            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(builder.buildPartial());
+          }
+          return builder.buildPartial();
+        }
+      };
+
+  public static com.google.protobuf.Parser parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponseOrBuilder.java
new file mode 100644
index 000000000000..5a63f52f4357
--- /dev/null
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardUsageResponseOrBuilder.java
@@ -0,0 +1,103 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/tensorboard_service.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ReadTensorboardUsageResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  int getMonthlyUsageDataCount();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  boolean containsMonthlyUsageData(java.lang.String key);
+  /** Use {@link #getMonthlyUsageDataMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageData();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData>
+      getMonthlyUsageDataMap();
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+
+  /* nullable */
+  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrDefault(
+          java.lang.String key,
+          /* nullable */
+          com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+              defaultValue);
+  /**
+   *
+   *
+   * 
+   * Maps year-month (YYYYMM) string to per month usage data.
+   * 

+   *
+   * 
+   * map<string, .google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData> monthly_usage_data = 1;
+   * 
+   */
+  com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
+      getMonthlyUsageDataOrThrow(java.lang.String key);
+}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveContextChildrenResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveContextChildrenResponse.java
index 49fb4ab0eeac..3ad861847ced 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveContextChildrenResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveContextChildrenResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
+ * Response message for
+ * [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveContextChildrenResponse}
@@ -221,7 +222,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
+   * Response message for
+   * [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveContextChildrenResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsRequest.java
index f04f39a33efb..7e17e1d63142 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+ * Request message for
+ * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveDatapointsRequest}
@@ -366,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+   * Request message for
+   * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveDatapointsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsResponse.java
index 893a68a0b1d5..9c92be2603a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/RemoveDatapointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+ * Response message for
+ * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveDatapointsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+   * Response message for
+   * [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.RemoveDatapointsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumed.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumed.java
index 94710e46387b..27ba515d6241 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumed.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumed.java
@@ -71,9 +71,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. The number of replica hours used. Note that many replicas may run in
-   * parallel, and additionally any given work may be queued for some time.
-   * Therefore this value is not strictly related to wall time.
+   * Output only. The number of replica hours used. Note that many replicas may
+   * run in parallel, and additionally any given work may be queued for some
+   * time. Therefore this value is not strictly related to wall time.
    * 

    *
    * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -424,9 +424,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -441,9 +441,9 @@ public double getReplicaHours() {
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -461,9 +461,9 @@ public Builder setReplicaHours(double value) {
      *
      *
      * 
-     * Output only. The number of replica hours used. Note that many replicas may run in
-     * parallel, and additionally any given work may be queued for some time.
-     * Therefore this value is not strictly related to wall time.
+     * Output only. The number of replica hours used. Note that many replicas may
+     * run in parallel, and additionally any given work may be queued for some
+     * time. Therefore this value is not strictly related to wall time.
      * 

      *
      * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumedOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumedOrBuilder.java
index cff0e6dd57b4..0e2aa4d7c66b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumedOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ResourcesConsumedOrBuilder.java
@@ -27,9 +27,9 @@ public interface ResourcesConsumedOrBuilder
    *
    *
    * 
-   * Output only. The number of replica hours used. Note that many replicas may run in
-   * parallel, and additionally any given work may be queued for some time.
-   * Therefore this value is not strictly related to wall time.
+   * Output only. The number of replica hours used. Note that many replicas may
+   * run in parallel, and additionally any given work may be queued for some
+   * time. Therefore this value is not strictly related to wall time.
    * 

    *
    * double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttribution.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttribution.java
index a918c06dbb6b..80ded858e394 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttribution.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttribution.java
@@ -73,8 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The number of feature permutations to consider when approximating the
-   * Shapley values.
+   * Required. The number of feature permutations to consider when approximating
+   * the Shapley values.
    * Valid range of its value is [1, 50], inclusively.
    * 

    *
@@ -426,8 +426,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
@@ -443,8 +443,8 @@ public int getPathCount() {
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
@@ -463,8 +463,8 @@ public Builder setPathCount(int value) {
      *
      *
      * 
-     * Required. The number of feature permutations to consider when approximating the
-     * Shapley values.
+     * Required. The number of feature permutations to consider when approximating
+     * the Shapley values.
      * Valid range of its value is [1, 50], inclusively.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttributionOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttributionOrBuilder.java
index 7ecaaa60493f..072aad426ba7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttributionOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SampledShapleyAttributionOrBuilder.java
@@ -27,8 +27,8 @@ public interface SampledShapleyAttributionOrBuilder
    *
    *
    * 
-   * Required. The number of feature permutations to consider when approximating the
-   * Shapley values.
+   * Required. The number of feature permutations to consider when approximating
+   * the Shapley values.
    * Valid range of its value is [1, 50], inclusively.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQuery.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQuery.java
index 4f0685ab98d8..1100d4445921 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQuery.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQuery.java
@@ -513,8 +513,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-   * training.
+   * Output only. If the Annotations belonging to the SavedQuery can be used for
+   * AutoML training.
    * 

    *
    * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2326,8 +2326,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2342,8 +2342,8 @@ public boolean getSupportAutomlTraining() {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -2361,8 +2361,8 @@ public Builder setSupportAutomlTraining(boolean value) {
      *
      *
      * 
-     * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-     * training.
+     * Output only. If the Annotations belonging to the SavedQuery can be used for
+     * AutoML training.
      * 

      *
      * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQueryOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQueryOrBuilder.java
index 4ccbace24703..11b8f13d5605 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQueryOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SavedQueryOrBuilder.java
@@ -304,8 +304,8 @@ public interface SavedQueryOrBuilder
    *
    *
    * 
-   * Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-   * training.
+   * Output only. If the Annotations belonging to the SavedQuery can be used for
+   * AutoML training.
    * 

    *
    * bool support_automl_training = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequest.java
index 9e51195b97ed..45a5ba9598c1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+ * Request message for
+ * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchDataItemsRequest}
@@ -83,8 +84,8 @@ public interface OrderByAnnotationOrBuilder
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -96,8 +97,8 @@ public interface OrderByAnnotationOrBuilder
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -192,8 +193,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -216,8 +217,8 @@ public java.lang.String getSavedQuery() {
      *
      *
      * 
-     * Required. Saved query of the Annotation. Only Annotations belong to this saved
-     * query will be considered for ordering.
+     * Required. Saved query of the Annotation. Only Annotations belong to this
+     * saved query will be considered for ordering.
      * 

      *
      * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -672,8 +673,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -695,8 +696,8 @@ public java.lang.String getSavedQuery() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -718,8 +719,8 @@ public com.google.protobuf.ByteString getSavedQueryBytes() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -740,8 +741,8 @@ public Builder setSavedQuery(java.lang.String value) {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -758,8 +759,8 @@ public Builder clearSavedQuery() {
        *
        *
        * 
-       * Required. Saved query of the Annotation. Only Annotations belong to this saved
-       * query will be considered for ordering.
+       * Required. Saved query of the Annotation. Only Annotations belong to this
+       * saved query will be considered for ordering.
        * 

        *
        * string saved_query = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1217,7 +1218,7 @@ public com.google.protobuf.ByteString getDatasetBytes() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
    * @return The savedQuery.
    */
   @java.lang.Override
@@ -1247,7 +1248,7 @@ public java.lang.String getSavedQuery() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
    * @return The bytes for savedQuery.
    */
   @java.lang.Override
@@ -1400,7 +1401,7 @@ public com.google.protobuf.ByteString getDataItemFilterBytes() {
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
    * @return The annotationsFilter.
    */
   @java.lang.Override
@@ -1428,7 +1429,7 @@ public java.lang.String getAnnotationsFilter() {
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
    * @return The bytes for annotationsFilter.
    */
   @java.lang.Override
@@ -1528,7 +1529,8 @@ public com.google.protobuf.ByteString getAnnotationFiltersBytes(int index) {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1543,7 +1545,8 @@ public boolean hasFieldMask() {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1558,7 +1561,8 @@ public com.google.protobuf.FieldMask getFieldMask() {
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -1620,7 +1624,7 @@ public int getPageSize() {
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
    * @return The orderBy.
    */
   @java.lang.Override
@@ -1647,7 +1651,7 @@ public java.lang.String getOrderBy() {
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
    * @return The bytes for orderBy.
    */
   @java.lang.Override
@@ -1672,8 +1676,10 @@ public com.google.protobuf.ByteString getOrderByBytes() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -1698,8 +1704,10 @@ public java.lang.String getPageToken() {
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -2026,7 +2034,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+   * Request message for
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchDataItemsRequest}
@@ -2933,7 +2942,7 @@ public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
      * @return The savedQuery.
      */
     @java.lang.Deprecated
@@ -2962,7 +2971,7 @@ public java.lang.String getSavedQuery() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
      * @return The bytes for savedQuery.
      */
     @java.lang.Deprecated
@@ -2991,7 +3000,7 @@ public com.google.protobuf.ByteString getSavedQueryBytes() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
      * @param value The savedQuery to set.
      * @return This builder for chaining.
      */
@@ -3019,7 +3028,7 @@ public Builder setSavedQuery(java.lang.String value) {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3043,7 +3052,7 @@ public Builder clearSavedQuery() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
      * @param value The bytes for savedQuery to set.
      * @return This builder for chaining.
      */
@@ -3344,7 +3353,7 @@ public Builder setDataItemFilterBytes(com.google.protobuf.ByteString value) {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
      * @return The annotationsFilter.
      */
     @java.lang.Deprecated
@@ -3371,7 +3380,7 @@ public java.lang.String getAnnotationsFilter() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
      * @return The bytes for annotationsFilter.
      */
     @java.lang.Deprecated
@@ -3398,7 +3407,7 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
      * @param value The annotationsFilter to set.
      * @return This builder for chaining.
      */
@@ -3424,7 +3433,7 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -3446,7 +3455,7 @@ public Builder clearAnnotationsFilter() {
      * string annotations_filter = 5 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+     *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
      * @param value The bytes for annotationsFilter to set.
      * @return This builder for chaining.
      */
@@ -3676,7 +3685,8 @@ public Builder addAnnotationFiltersBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3690,7 +3700,8 @@ public boolean hasFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3708,7 +3719,8 @@ public com.google.protobuf.FieldMask getFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3730,7 +3742,8 @@ public Builder setFieldMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3749,7 +3762,8 @@ public Builder setFieldMask(com.google.protobuf.FieldMask.Builder builderForValu
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3773,7 +3787,8 @@ public Builder mergeFieldMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3793,7 +3808,8 @@ public Builder clearFieldMask() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3807,7 +3823,8 @@ public com.google.protobuf.FieldMask.Builder getFieldMaskBuilder() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3823,7 +3840,8 @@ public com.google.protobuf.FieldMaskOrBuilder getFieldMaskOrBuilder() {
      *
      *
      * 
-     * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+     * Mask specifying which fields of
+     * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
      * 

      *
      * .google.protobuf.FieldMask field_mask = 6;
@@ -3970,7 +3988,7 @@ public Builder clearPageSize() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
      * @return The orderBy.
      */
     @java.lang.Deprecated
@@ -3996,7 +4014,7 @@ public java.lang.String getOrderBy() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
      * @return The bytes for orderBy.
      */
     @java.lang.Deprecated
@@ -4022,7 +4040,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
      * @param value The orderBy to set.
      * @return This builder for chaining.
      */
@@ -4047,7 +4065,7 @@ public Builder setOrderBy(java.lang.String value) {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
      * @return This builder for chaining.
      */
     @java.lang.Deprecated
@@ -4068,7 +4086,7 @@ public Builder clearOrderBy() {
      * string order_by = 9 [deprecated = true];
      *
      * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated.
-     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+     *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
      * @param value The bytes for orderBy to set.
      * @return This builder for chaining.
      */
@@ -4091,8 +4109,10 @@ public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4116,8 +4136,10 @@ public java.lang.String getPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4141,8 +4163,10 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4165,8 +4189,10 @@ public Builder setPageToken(java.lang.String value) {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
@@ -4185,8 +4211,10 @@ public Builder clearPageToken() {
      * 
      * A token identifying a page of results for the server to return
      * Typically obtained via
-     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+     * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+     * of the previous
+     * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+     * call.
      * 

      *
      * string page_token = 10;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequestOrBuilder.java
index 9f5eb96192d1..8a0873129932 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsRequestOrBuilder.java
@@ -153,7 +153,7 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
    * @return The savedQuery.
    */
   @java.lang.Deprecated
@@ -172,7 +172,7 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.saved_query is deprecated.
-   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=414
+   *     See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=436
    * @return The bytes for savedQuery.
    */
   @java.lang.Deprecated
@@ -264,7 +264,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
    * @return The annotationsFilter.
    */
   @java.lang.Deprecated
@@ -281,7 +281,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string annotations_filter = 5 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.annotations_filter is
-   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=445
+   *     deprecated. See google/cloud/aiplatform/v1beta1/dataset_service.proto;l=467
    * @return The bytes for annotationsFilter.
    */
   @java.lang.Deprecated
@@ -358,7 +358,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -370,7 +371,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -382,7 +384,8 @@ public interface SearchDataItemsRequestOrBuilder
    *
    *
    * 
-   * Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+   * Mask specifying which fields of
+   * [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
    * 

    *
    * .google.protobuf.FieldMask field_mask = 6;
@@ -429,7 +432,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
    * @return The orderBy.
    */
   @java.lang.Deprecated
@@ -445,7 +448,7 @@ public interface SearchDataItemsRequestOrBuilder
    * string order_by = 9 [deprecated = true];
    *
    * @deprecated google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.order_by is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=468
+   *     google/cloud/aiplatform/v1beta1/dataset_service.proto;l=491
    * @return The bytes for orderBy.
    */
   @java.lang.Deprecated
@@ -457,8 +460,10 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
@@ -472,8 +477,10 @@ public interface SearchDataItemsRequestOrBuilder
    * 
    * A token identifying a page of results for the server to return
    * Typically obtained via
-   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+   * [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+   * of the previous
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+   * call.
    * 

    *
    * string page_token = 10;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponse.java
index e44faa4f0456..bd34e80259da 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+ * Response message for
+ * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchDataItemsResponse}
@@ -145,7 +146,9 @@ public com.google.cloud.aiplatform.v1beta1.DataItemViewOrBuilder getDataItemView
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -169,7 +172,9 @@ public java.lang.String getNextPageToken() {
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -364,7 +369,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+   * Response message for
+   * [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchDataItemsResponse}
@@ -957,7 +963,9 @@ public com.google.cloud.aiplatform.v1beta1.DataItemView.Builder addDataItemViews
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -980,7 +988,9 @@ public java.lang.String getNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1003,7 +1013,9 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1025,7 +1037,9 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
@@ -1043,7 +1057,9 @@ public Builder clearNextPageToken() {
      *
      * 
      * A token to retrieve next page of results.
-     * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+     * Pass to
+     * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+     * to obtain that page.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponseOrBuilder.java
index ac26d1a3149a..826c7ab48a75 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchDataItemsResponseOrBuilder.java
@@ -80,7 +80,9 @@ public interface SearchDataItemsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
@@ -93,7 +95,9 @@ public interface SearchDataItemsResponseOrBuilder
    *
    * 
    * A token to retrieve next page of results.
-   * Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+   * Pass to
+   * [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+   * to obtain that page.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequest.java
index a97ed9ec2160..b5e87c5b4564 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+ * Request message for
+ * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchFeaturesRequest}
@@ -297,11 +298,11 @@ public int getPageSize() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -325,11 +326,11 @@ public java.lang.String getPageToken() {
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -540,7 +541,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+   * Request message for
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchFeaturesRequest}
@@ -1279,11 +1281,11 @@ public Builder clearPageSize() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1306,11 +1308,11 @@ public java.lang.String getPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1333,11 +1335,11 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1359,11 +1361,11 @@ public Builder setPageToken(java.lang.String value) {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
@@ -1381,11 +1383,11 @@ public Builder clearPageToken() {
      *
      * 
      * A page token, received from a previous
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-     * Provide this to retrieve the subsequent page.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+     * call. Provide this to retrieve the subsequent page.
      * When paginating, all other parameters provided to
-     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-     * match the call that provided the page token.
+     * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+     * except `page_size`, must match the call that provided the page token.
      * 

      *
      * string page_token = 5;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequestOrBuilder.java
index 3edc4a1c78d6..20bbd09e164e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesRequestOrBuilder.java
@@ -196,11 +196,11 @@ public interface SearchFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
@@ -213,11 +213,11 @@ public interface SearchFeaturesRequestOrBuilder
    *
    * 
    * A page token, received from a previous
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-   * Provide this to retrieve the subsequent page.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+   * call. Provide this to retrieve the subsequent page.
    * When paginating, all other parameters provided to
-   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-   * match the call that provided the page token.
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+   * except `page_size`, must match the call that provided the page token.
    * 

    *
    * string page_token = 5;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponse.java
index 148343c9a679..33ddad502706 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+ * Response message for
+ * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchFeaturesResponse}
@@ -173,9 +174,10 @@ public com.google.cloud.aiplatform.v1beta1.FeatureOrBuilder getFeaturesOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -198,9 +200,10 @@ public java.lang.String getNextPageToken() {
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -395,7 +398,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+   * Response message for
+   * [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchFeaturesResponse}
@@ -1084,9 +1088,10 @@ public com.google.cloud.aiplatform.v1beta1.Feature.Builder addFeaturesBuilder(in
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1108,9 +1113,10 @@ public java.lang.String getNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1132,9 +1138,10 @@ public com.google.protobuf.ByteString getNextPageTokenBytes() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1155,9 +1162,10 @@ public Builder setNextPageToken(java.lang.String value) {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
@@ -1174,9 +1182,10 @@ public Builder clearNextPageToken() {
      *
      *
      * 
-     * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-     * retrieve the next page.
-     * If this field is omitted, there are no subsequent pages.
+     * A token, which can be sent as
+     * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+     * to retrieve the next page. If this field is omitted, there are no
+     * subsequent pages.
      * 

      *
      * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponseOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponseOrBuilder.java
index adeeef851f7d..2bfa8ca5c251 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponseOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchFeaturesResponseOrBuilder.java
@@ -109,9 +109,10 @@ public interface SearchFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
@@ -123,9 +124,10 @@ public interface SearchFeaturesResponseOrBuilder
    *
    *
    * 
-   * A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-   * retrieve the next page.
-   * If this field is omitted, there are no subsequent pages.
+   * A token, which can be sent as
+   * [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+   * to retrieve the next page. If this field is omitted, there are no
+   * subsequent pages.
    * 

    *
    * string next_page_token = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
index 9aeb98ba2308..d66a3d3d8801 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+ * Request message for
+ * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest}
@@ -76,10 +77,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -105,10 +105,9 @@ public java.lang.String getParent() {
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -207,7 +206,8 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
    * 
    * A filter for your search. You can use the following types of filters:
    * *   Resource type filters. The following strings filter for a specific type
-   *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+   *     of
+   *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
    *     *   `ml_engine_model_version:*`
    *     *   `automl_model:*`
    *     *   `automl_dataset:*`
@@ -240,7 +240,8 @@ public java.lang.String getFilter() {
    * 
    * A filter for your search. You can use the following types of filters:
    * *   Resource type filters. The following strings filter for a specific type
-   *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+   *     of
+   *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
    *     *   `ml_engine_model_version:*`
    *     *   `automl_model:*`
    *     *   `automl_dataset:*`
@@ -460,7 +461,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+   * Request message for
+   * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest}
@@ -676,10 +678,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -704,10 +705,9 @@ public java.lang.String getParent() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -732,10 +732,9 @@ public com.google.protobuf.ByteString getParentBytes() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -759,10 +758,9 @@ public Builder setParent(java.lang.String value) {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -782,10 +780,9 @@ public Builder clearParent() {
      *
      *
      * 
-     * Required. The location that the migratable resources should be searched from.
-     * It's the Vertex AI location that the resources can be migrated to, not
-     * the resources' original location.
-     * Format:
+     * Required. The location that the migratable resources should be searched
+     * from. It's the Vertex AI location that the resources can be migrated to,
+     * not the resources' original location. Format:
      * `projects/{project}/locations/{location}`
      * 

      *
@@ -975,7 +972,8 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
      * 
      * A filter for your search. You can use the following types of filters:
      * *   Resource type filters. The following strings filter for a specific type
-     *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+     *     of
+     *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
      *     *   `ml_engine_model_version:*`
      *     *   `automl_model:*`
      *     *   `automl_dataset:*`
@@ -1007,7 +1005,8 @@ public java.lang.String getFilter() {
      * 
      * A filter for your search. You can use the following types of filters:
      * *   Resource type filters. The following strings filter for a specific type
-     *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+     *     of
+     *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
      *     *   `ml_engine_model_version:*`
      *     *   `automl_model:*`
      *     *   `automl_dataset:*`
@@ -1039,7 +1038,8 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * 
      * A filter for your search. You can use the following types of filters:
      * *   Resource type filters. The following strings filter for a specific type
-     *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+     *     of
+     *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
      *     *   `ml_engine_model_version:*`
      *     *   `automl_model:*`
      *     *   `automl_dataset:*`
@@ -1070,7 +1070,8 @@ public Builder setFilter(java.lang.String value) {
      * 
      * A filter for your search. You can use the following types of filters:
      * *   Resource type filters. The following strings filter for a specific type
-     *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+     *     of
+     *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
      *     *   `ml_engine_model_version:*`
      *     *   `automl_model:*`
      *     *   `automl_dataset:*`
@@ -1097,7 +1098,8 @@ public Builder clearFilter() {
      * 
      * A filter for your search. You can use the following types of filters:
      * *   Resource type filters. The following strings filter for a specific type
-     *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+     *     of
+     *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
      *     *   `ml_engine_model_version:*`
      *     *   `automl_model:*`
      *     *   `automl_dataset:*`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
index 1dce30d62975..1f80d146d27a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
@@ -27,10 +27,9 @@ public interface SearchMigratableResourcesRequestOrBuilder
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -45,10 +44,9 @@ public interface SearchMigratableResourcesRequestOrBuilder
    *
    *
    * 
-   * Required. The location that the migratable resources should be searched from.
-   * It's the Vertex AI location that the resources can be migrated to, not
-   * the resources' original location.
-   * Format:
+   * Required. The location that the migratable resources should be searched
+   * from. It's the Vertex AI location that the resources can be migrated to,
+   * not the resources' original location. Format:
    * `projects/{project}/locations/{location}`
    * 

    *
@@ -105,7 +103,8 @@ public interface SearchMigratableResourcesRequestOrBuilder
    * 
    * A filter for your search. You can use the following types of filters:
    * *   Resource type filters. The following strings filter for a specific type
-   *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+   *     of
+   *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
    *     *   `ml_engine_model_version:*`
    *     *   `automl_model:*`
    *     *   `automl_dataset:*`
@@ -127,7 +126,8 @@ public interface SearchMigratableResourcesRequestOrBuilder
    * 
    * A filter for your search. You can use the following types of filters:
    * *   Resource type filters. The following strings filter for a specific type
-   *     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+   *     of
+   *     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
    *     *   `ml_engine_model_version:*`
    *     *   `automl_model:*`
    *     *   `automl_dataset:*`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesResponse.java
index 877003f1bbcb..877252d2e291 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+ * Response message for
+ * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse}
@@ -381,7 +382,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+   * Response message for
+   * [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
index ce0bb307cdc8..a6d520e05365 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchModelDeploymentMonitoringStatsAnomaliesRequest.java
@@ -102,11 +102,12 @@ public interface StatsAnomaliesObjectiveOrBuilder
      *
      * 
      * If set, all attribution scores between
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-     * fetched, and page token doesn't take effect in this case.
-     * Only used to retrieve attribution score for the top Features which has
-     * the highest attribution score in the latest monitoring run.
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+     * and
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+     * are fetched, and page token doesn't take effect in this case. Only used
+     * to retrieve attribution score for the top Features which has the highest
+     * attribution score in the latest monitoring run.
      * 

      *
      * int32 top_feature_count = 4;
@@ -204,11 +205,12 @@ public com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveTyp
      *
      * 
      * If set, all attribution scores between
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-     * fetched, and page token doesn't take effect in this case.
-     * Only used to retrieve attribution score for the top Features which has
-     * the highest attribution score in the latest monitoring run.
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+     * and
+     * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+     * are fetched, and page token doesn't take effect in this case. Only used
+     * to retrieve attribution score for the top Features which has the highest
+     * attribution score in the latest monitoring run.
      * 

      *
      * int32 top_feature_count = 4;
@@ -717,11 +719,12 @@ public Builder clearType() {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
@@ -737,11 +740,12 @@ public int getTopFeatureCount() {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
@@ -760,11 +764,12 @@ public Builder setTopFeatureCount(int value) {
        *
        * 
        * If set, all attribution scores between
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-       * fetched, and page token doesn't take effect in this case.
-       * Only used to retrieve attribution score for the top Features which has
-       * the highest attribution score in the latest monitoring run.
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+       * and
+       * [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+       * are fetched, and page token doesn't take effect in this case. Only used
+       * to retrieve attribution score for the top Features which has the highest
+       * attribution score in the latest monitoring run.
        * 

        *
        * int32 top_feature_count = 4;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
index 84e8d3ae7ff4..9fe1e2b42181 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
@@ -130,8 +130,8 @@ public GradientNoiseSigmaCase getGradientNoiseSigmaCase() {
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -155,8 +155,8 @@ public boolean hasNoiseSigma() {
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -176,12 +176,14 @@ public float getNoiseSigma() {
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -196,12 +198,14 @@ public boolean hasFeatureNoiseSigma() {
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -219,12 +223,14 @@ public com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma getFeatureNoiseSigm
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -705,8 +711,8 @@ public Builder clearGradientNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -729,8 +735,8 @@ public boolean hasNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -756,8 +762,8 @@ public float getNoiseSigma() {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -784,8 +790,8 @@ public Builder setNoiseSigma(float value) {
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
      * If the distribution is different per feature, set
-     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-     * for each feature.
+     * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+     * instead for each feature.
      * 

      *
      * float noise_sigma = 1;
@@ -810,12 +816,14 @@ public Builder clearNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -830,12 +838,14 @@ public boolean hasFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -860,12 +870,14 @@ public com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma getFeatureNoiseSigm
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -888,12 +900,14 @@ public Builder setFeatureNoiseSigma(
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -913,12 +927,14 @@ public Builder setFeatureNoiseSigma(
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -952,12 +968,14 @@ public Builder mergeFeatureNoiseSigma(
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -982,12 +1000,14 @@ public Builder clearFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -1000,12 +1020,14 @@ public Builder clearFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -1026,12 +1048,14 @@ public Builder clearFeatureNoiseSigma() {
      *
      *
      * 
-     * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-     * provides additional flexibility. A separate noise sigma can be provided
-     * for each feature, which is useful if their distributions are different.
-     * No noise is added to features that are not set. If this field is unset,
-     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-     * features.
+     * This is similar to
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+     * but provides additional flexibility. A separate noise sigma can be
+     * provided for each feature, which is useful if their distributions are
+     * different. No noise is added to features that are not set. If this field
+     * is unset,
+     * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+     * will be used for all features.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
index d05b529bb32e..bc70205ab718 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
@@ -36,8 +36,8 @@ public interface SmoothGradConfigOrBuilder
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -58,8 +58,8 @@ public interface SmoothGradConfigOrBuilder
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
    * If the distribution is different per feature, set
-   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-   * for each feature.
+   * [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+   * instead for each feature.
    * 

    *
    * float noise_sigma = 1;
@@ -72,12 +72,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -89,12 +91,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
@@ -106,12 +110,14 @@ public interface SmoothGradConfigOrBuilder
    *
    *
    * 
-   * This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-   * provides additional flexibility. A separate noise sigma can be provided
-   * for each feature, which is useful if their distributions are different.
-   * No noise is added to features that are not set. If this field is unset,
-   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-   * features.
+   * This is similar to
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+   * but provides additional flexibility. A separate noise sigma can be
+   * provided for each feature, which is useful if their distributions are
+   * different. No noise is added to features that are not set. If this field
+   * is unset,
+   * [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+   * will be used for all features.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StopTrialRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StopTrialRequest.java
index 4f0433c793a2..2fa52b5c7bf4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StopTrialRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StopTrialRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
+ * Request message for
+ * [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.StopTrialRequest}
@@ -287,7 +288,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
+   * Request message for
+   * [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.StopTrialRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequest.java
index 4c146e382379..dab887fa4798 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequest.java
@@ -139,9 +139,9 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -155,9 +155,9 @@ public com.google.protobuf.ProtocolStringList getEntityIdsList() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -171,9 +171,9 @@ public int getEntityIdsCount() {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -188,9 +188,9 @@ public java.lang.String getEntityIds(int index) {
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -208,8 +208,8 @@ public com.google.protobuf.ByteString getEntityIdsBytes(int index) {
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -226,8 +226,8 @@ public boolean hasFeatureSelector() {
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -246,8 +246,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector getFeatureSelector()
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -830,9 +830,9 @@ private void ensureEntityIdsIsMutable() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -846,9 +846,9 @@ public com.google.protobuf.ProtocolStringList getEntityIdsList() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -862,9 +862,9 @@ public int getEntityIdsCount() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -879,9 +879,9 @@ public java.lang.String getEntityIds(int index) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -896,9 +896,9 @@ public com.google.protobuf.ByteString getEntityIdsBytes(int index) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -920,9 +920,9 @@ public Builder setEntityIds(int index, java.lang.String value) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -943,9 +943,9 @@ public Builder addEntityIds(java.lang.String value) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -963,9 +963,9 @@ public Builder addAllEntityIds(java.lang.Iterable values) {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -982,9 +982,9 @@ public Builder clearEntityIds() {
      *
      *
      * 
-     * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-     * 100. For example, for a machine learning model predicting user clicks on a
-     * website, an entity ID could be `user_123`.
+     * Required. IDs of entities to read Feature values of. The maximum number of
+     * IDs is 100. For example, for a machine learning model predicting user
+     * clicks on a website, an entity ID could be `user_123`.
      * 

      *
      * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1013,8 +1013,8 @@ public Builder addEntityIdsBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1030,8 +1030,8 @@ public boolean hasFeatureSelector() {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1053,8 +1053,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector getFeatureSelector()
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1078,8 +1078,8 @@ public Builder setFeatureSelector(com.google.cloud.aiplatform.v1beta1.FeatureSel
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1101,8 +1101,8 @@ public Builder setFeatureSelector(
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1130,8 +1130,8 @@ public Builder mergeFeatureSelector(com.google.cloud.aiplatform.v1beta1.FeatureS
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1153,8 +1153,8 @@ public Builder clearFeatureSelector() {
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1170,8 +1170,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector.Builder getFeatureSel
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
@@ -1192,8 +1192,8 @@ public com.google.cloud.aiplatform.v1beta1.FeatureSelector.Builder getFeatureSel
      *
      *
      * 
-     * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-     * deduplicated.
+     * Required. Selector choosing Features of the target EntityType. Feature IDs
+     * will be deduplicated.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequestOrBuilder.java
index 89311bf428ec..0358b4650d00 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StreamingReadFeatureValuesRequestOrBuilder.java
@@ -66,9 +66,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -80,9 +80,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,9 +94,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -109,9 +109,9 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. IDs of entities to read Feature values of. The maximum number of IDs is
-   * 100. For example, for a machine learning model predicting user clicks on a
-   * website, an entity ID could be `user_123`.
+   * Required. IDs of entities to read Feature values of. The maximum number of
+   * IDs is 100. For example, for a machine learning model predicting user
+   * clicks on a website, an entity ID could be `user_123`.
    * 

    *
    * repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -125,8 +125,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -140,8 +140,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
@@ -155,8 +155,8 @@ public interface StreamingReadFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. Selector choosing Features of the target EntityType. Feature IDs will be
-   * deduplicated.
+   * Required. Selector choosing Features of the target EntityType. Feature IDs
+   * will be deduplicated.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
index d5c651a99392..b52d939ea21f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
@@ -166,7 +166,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "FEASIBLE\020\005:l\352Ai\n\037aiplatform.googleapis.c"
           + "om/Trial\022Fprojects/{project}/locations/{"
           + "location}/studies/{study}/trials/{trial}"
-          + "\"\341\036\n\tStudySpec\022o\n\031decay_curve_stopping_s"
+          + "\"\247\037\n\tStudySpec\022o\n\031decay_curve_stopping_s"
           + "pec\030\004 \001(\0132J.google.cloud.aiplatform.v1be"
           + "ta1.StudySpec.DecayCurveAutomatedStoppin"
           + "gSpecH\000\022p\n\036median_automated_stopping_spe"
@@ -246,37 +246,38 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "alue_spec\032?\n\037DecayCurveAutomatedStopping"
           + "Spec\022\034\n\024use_elapsed_duration\030\001 \001(\010\032;\n\033Me"
           + "dianAutomatedStoppingSpec\022\034\n\024use_elapsed"
-          + "_duration\030\001 \001(\010\032\260\001\n\033ConvexAutomatedStopp"
+          + "_duration\030\001 \001(\010\032\366\001\n\033ConvexAutomatedStopp"
           + "ingSpec\022\026\n\016max_step_count\030\001 \001(\003\022\026\n\016min_s"
           + "tep_count\030\002 \001(\003\022\035\n\025min_measurement_count"
           + "\030\003 \001(\003\022$\n\034learning_rate_parameter_name\030\004"
-          + " \001(\t\022\034\n\024use_elapsed_duration\030\005 \001(\010\032\235\001\n\020C"
-          + "onvexStopConfig\022\025\n\rmax_num_steps\030\001 \001(\003\022\025"
-          + "\n\rmin_num_steps\030\002 \001(\003\022\034\n\024autoregressive_"
-          + "order\030\003 \001(\003\022$\n\034learning_rate_parameter_n"
-          + "ame\030\004 \001(\t\022\023\n\013use_seconds\030\005 \001(\010:\002\030\001\032[\n\026Tr"
-          + "ansferLearningConfig\022!\n\031disable_transfer"
-          + "_learning\030\001 \001(\010\022\036\n\021prior_study_names\030\002 \003"
-          + "(\tB\003\340A\003\"J\n\tAlgorithm\022\031\n\025ALGORITHM_UNSPEC"
-          + "IFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARC"
-          + "H\020\003\"H\n\020ObservationNoise\022!\n\035OBSERVATION_N"
-          + "OISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004HIGH\020\002\"r\n"
-          + "\030MeasurementSelectionType\022*\n&MEASUREMENT"
-          + "_SELECTION_TYPE_UNSPECIFIED\020\000\022\024\n\020LAST_ME"
-          + "ASUREMENT\020\001\022\024\n\020BEST_MEASUREMENT\020\002B\031\n\027aut"
-          + "omated_stopping_spec\"\341\001\n\013Measurement\0228\n\020"
-          + "elapsed_duration\030\001 \001(\0132\031.google.protobuf"
-          + ".DurationB\003\340A\003\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022"
-          + "I\n\007metrics\030\003 \003(\01323.google.cloud.aiplatfo"
-          + "rm.v1beta1.Measurement.MetricB\003\340A\003\0324\n\006Me"
-          + "tric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 "
-          + "\001(\001B\003\340A\003B\347\001\n#com.google.cloud.aiplatform"
-          + ".v1beta1B\nStudyProtoP\001ZIgoogle.golang.or"
-          + "g/genproto/googleapis/cloud/aiplatform/v"
-          + "1beta1;aiplatform\252\002\037Google.Cloud.AIPlatf"
-          + "orm.V1Beta1\312\002\037Google\\Cloud\\AIPlatform\\V1"
-          + "beta1\352\002\"Google::Cloud::AIPlatform::V1bet"
-          + "a1b\006proto3"
+          + " \001(\t\022\034\n\024use_elapsed_duration\030\005 \001(\010\022&\n\031up"
+          + "date_all_stopped_trials\030\006 \001(\010H\000\210\001\001B\034\n\032_u"
+          + "pdate_all_stopped_trials\032\235\001\n\020ConvexStopC"
+          + "onfig\022\025\n\rmax_num_steps\030\001 \001(\003\022\025\n\rmin_num_"
+          + "steps\030\002 \001(\003\022\034\n\024autoregressive_order\030\003 \001("
+          + "\003\022$\n\034learning_rate_parameter_name\030\004 \001(\t\022"
+          + "\023\n\013use_seconds\030\005 \001(\010:\002\030\001\032[\n\026TransferLear"
+          + "ningConfig\022!\n\031disable_transfer_learning\030"
+          + "\001 \001(\010\022\036\n\021prior_study_names\030\002 \003(\tB\003\340A\003\"J\n"
+          + "\tAlgorithm\022\031\n\025ALGORITHM_UNSPECIFIED\020\000\022\017\n"
+          + "\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARCH\020\003\"H\n\020Obs"
+          + "ervationNoise\022!\n\035OBSERVATION_NOISE_UNSPE"
+          + "CIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004HIGH\020\002\"r\n\030Measureme"
+          + "ntSelectionType\022*\n&MEASUREMENT_SELECTION"
+          + "_TYPE_UNSPECIFIED\020\000\022\024\n\020LAST_MEASUREMENT\020"
+          + "\001\022\024\n\020BEST_MEASUREMENT\020\002B\031\n\027automated_sto"
+          + "pping_spec\"\341\001\n\013Measurement\0228\n\020elapsed_du"
+          + "ration\030\001 \001(\0132\031.google.protobuf.DurationB"
+          + "\003\340A\003\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022I\n\007metrics"
+          + "\030\003 \003(\01323.google.cloud.aiplatform.v1beta1"
+          + ".Measurement.MetricB\003\340A\003\0324\n\006Metric\022\026\n\tme"
+          + "tric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 \001(\001B\003\340A\003B\347"
+          + "\001\n#com.google.cloud.aiplatform.v1beta1B\n"
+          + "StudyProtoP\001ZIgoogle.golang.org/genproto"
+          + "/googleapis/cloud/aiplatform/v1beta1;aip"
+          + "latform\252\002\037Google.Cloud.AIPlatform.V1Beta"
+          + "1\312\002\037Google\\Cloud\\AIPlatform\\V1beta1\352\002\"Go"
+          + "ogle::Cloud::AIPlatform::V1beta1b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -493,6 +494,8 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "MinMeasurementCount",
               "LearningRateParameterName",
               "UseElapsedDuration",
+              "UpdateAllStoppedTrials",
+              "UpdateAllStoppedTrials",
             });
     internal_static_google_cloud_aiplatform_v1beta1_StudySpec_ConvexStopConfig_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
index 6daf0016f825..d441205eed1a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
@@ -582,8 +582,8 @@ public interface MetricSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -595,8 +595,8 @@ public interface MetricSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -849,8 +849,8 @@ private GoalType(int value) {
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -873,8 +873,8 @@ public java.lang.String getMetricId() {
      *
      *
      * 
-     * Required. The ID of the metric. Must not contain whitespaces and must be unique
-     * amongst all MetricSpecs.
+     * Required. The ID of the metric. Must not contain whitespaces and must be
+     * unique amongst all MetricSpecs.
      * 

      *
      * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1301,8 +1301,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1324,8 +1324,8 @@ public java.lang.String getMetricId() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1347,8 +1347,8 @@ public com.google.protobuf.ByteString getMetricIdBytes() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1369,8 +1369,8 @@ public Builder setMetricId(java.lang.String value) {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1387,8 +1387,8 @@ public Builder clearMetricId() {
        *
        *
        * 
-       * Required. The ID of the metric. Must not contain whitespaces and must be unique
-       * amongst all MetricSpecs.
+       * Required. The ID of the metric. Must not contain whitespaces and must be
+       * unique amongst all MetricSpecs.
        * 

        *
        * string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1756,8 +1756,8 @@ public interface ParameterSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -1769,8 +1769,8 @@ public interface ParameterSpecOrBuilder
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -7789,8 +7789,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7803,8 +7803,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7817,8 +7817,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7832,8 +7832,8 @@ public interface CategoricalValueConditionOrBuilder
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7904,8 +7904,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7920,8 +7920,8 @@ public com.google.protobuf.ProtocolStringList getValuesList() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7936,8 +7936,8 @@ public int getValuesCount() {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -7953,8 +7953,8 @@ public java.lang.String getValues(int index) {
          *
          *
          * 
-         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-         * All values must exist in `categorical_value_spec` of parent
+         * Required. Matches values of the parent parameter of 'CATEGORICAL'
+         * type. All values must exist in `categorical_value_spec` of parent
          * parameter.
          * 

          *
@@ -8396,8 +8396,8 @@ private void ensureValuesIsMutable() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8412,8 +8412,8 @@ public com.google.protobuf.ProtocolStringList getValuesList() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8428,8 +8428,8 @@ public int getValuesCount() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8445,8 +8445,8 @@ public java.lang.String getValues(int index) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8462,8 +8462,8 @@ public com.google.protobuf.ByteString getValuesBytes(int index) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8486,8 +8486,8 @@ public Builder setValues(int index, java.lang.String value) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8509,8 +8509,8 @@ public Builder addValues(java.lang.String value) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8529,8 +8529,8 @@ public Builder addAllValues(java.lang.Iterable values) {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -8548,8 +8548,8 @@ public Builder clearValues() {
            *
            *
            * 
-           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-           * All values must exist in `categorical_value_spec` of parent
+           * Required. Matches values of the parent parameter of 'CATEGORICAL'
+           * type. All values must exist in `categorical_value_spec` of parent
            * parameter.
            * 

            *
@@ -10934,8 +10934,8 @@ public boolean hasDiscreteValueSpec() {
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -10958,8 +10958,8 @@ public java.lang.String getParameterId() {
      *
      *
      * 
-     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-     * amongst all ParameterSpecs.
+     * Required. The ID of the parameter. Must not contain whitespaces and must
+     * be unique amongst all ParameterSpecs.
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12778,8 +12778,8 @@ public Builder clearDiscreteValueSpec() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12801,8 +12801,8 @@ public java.lang.String getParameterId() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12824,8 +12824,8 @@ public com.google.protobuf.ByteString getParameterIdBytes() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12846,8 +12846,8 @@ public Builder setParameterId(java.lang.String value) {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -12864,8 +12864,8 @@ public Builder clearParameterId() {
        *
        *
        * 
-       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
-       * amongst all ParameterSpecs.
+       * Required. The ID of the parameter. Must not contain whitespaces and must
+       * be unique amongst all ParameterSpecs.
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -13559,9 +13559,11 @@ public interface DecayCurveAutomatedStoppingSpecOrBuilder
      *
      *
      * 
-     * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-     * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-     * as the x-axis.
+     * True if
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+     * is used as the x-axis of each Trials Decay Curve. Otherwise,
+     * [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+     * will be used as the x-axis.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -13630,9 +13632,11 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-     * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-     * as the x-axis.
+     * True if
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+     * is used as the x-axis of each Trials Decay Curve. Otherwise,
+     * [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+     * will be used as the x-axis.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -14008,9 +14012,11 @@ public Builder mergeFrom(
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14025,9 +14031,11 @@ public boolean getUseElapsedDuration() {
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14045,9 +14053,11 @@ public Builder setUseElapsedDuration(boolean value) {
        *
        *
        * 
-       * True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-       * Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-       * as the x-axis.
+       * True if
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+       * is used as the x-axis of each Trials Decay Curve. Otherwise,
+       * [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+       * will be used as the x-axis.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14140,9 +14150,10 @@ public interface MedianAutomatedStoppingSpecOrBuilder
      *
      * 
      * True if median automated stopping rule applies on
-     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-     * field of latest measurement of current Trial is used to compute median
-     * objective value for each completed Trials.
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+     * It means that elapsed_duration field of latest measurement of current
+     * Trial is used to compute median objective value for each completed
+     * Trials.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -14211,9 +14222,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * True if median automated stopping rule applies on
-     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-     * field of latest measurement of current Trial is used to compute median
-     * objective value for each completed Trials.
+     * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+     * It means that elapsed_duration field of latest measurement of current
+     * Trial is used to compute median objective value for each completed
+     * Trials.
      * 

      *
      * bool use_elapsed_duration = 1;
@@ -14586,9 +14598,10 @@ public Builder mergeFrom(
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14604,9 +14617,10 @@ public boolean getUseElapsedDuration() {
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14625,9 +14639,10 @@ public Builder setUseElapsedDuration(boolean value) {
        *
        * 
        * True if median automated stopping rule applies on
-       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-       * field of latest measurement of current Trial is used to compute median
-       * objective value for each completed Trials.
+       * [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+       * It means that elapsed_duration field of latest measurement of current
+       * Trial is used to compute median objective value for each completed
+       * Trials.
        * 

        *
        * bool use_elapsed_duration = 1;
@@ -14814,6 +14829,43 @@ public interface ConvexAutomatedStoppingSpecOrBuilder
      * @return The useElapsedDuration.
      */
     boolean getUseElapsedDuration();
+
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return Whether the updateAllStoppedTrials field is set.
+     */
+    boolean hasUpdateAllStoppedTrials();
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return The updateAllStoppedTrials.
+     */
+    boolean getUpdateAllStoppedTrials();
   }
   /**
    *
@@ -14875,6 +14927,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
                   .class);
     }
 
+    private int bitField0_;
     public static final int MAX_STEP_COUNT_FIELD_NUMBER = 1;
     private long maxStepCount_;
     /**
@@ -15020,6 +15073,51 @@ public boolean getUseElapsedDuration() {
       return useElapsedDuration_;
     }
 
+    public static final int UPDATE_ALL_STOPPED_TRIALS_FIELD_NUMBER = 6;
+    private boolean updateAllStoppedTrials_;
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return Whether the updateAllStoppedTrials field is set.
+     */
+    @java.lang.Override
+    public boolean hasUpdateAllStoppedTrials() {
+      return ((bitField0_ & 0x00000001) != 0);
+    }
+    /**
+     *
+     *
+     * 
+     * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+     * to be early stopped using a newly trained auto-regressive model. When
+     * this flag is set to True, all stopped trials from the beginning are
+     * potentially updated in terms of their `final_measurement`. Also, note
+     * that the training logic of autoregressive models is different in this
+     * case. Enabling this option has shown better results and this may be the
+     * default option in the future.
+     * 

+     *
+     * optional bool update_all_stopped_trials = 6;
+     *
+     * @return The updateAllStoppedTrials.
+     */
+    @java.lang.Override
+    public boolean getUpdateAllStoppedTrials() {
+      return updateAllStoppedTrials_;
+    }
+
     private byte memoizedIsInitialized = -1;
 
     @java.lang.Override
@@ -15049,6 +15147,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
       if (useElapsedDuration_ != false) {
         output.writeBool(5, useElapsedDuration_);
       }
+      if (((bitField0_ & 0x00000001) != 0)) {
+        output.writeBool(6, updateAllStoppedTrials_);
+      }
       getUnknownFields().writeTo(output);
     }
 
@@ -15074,6 +15175,9 @@ public int getSerializedSize() {
       if (useElapsedDuration_ != false) {
         size += com.google.protobuf.CodedOutputStream.computeBoolSize(5, useElapsedDuration_);
       }
+      if (((bitField0_ & 0x00000001) != 0)) {
+        size += com.google.protobuf.CodedOutputStream.computeBoolSize(6, updateAllStoppedTrials_);
+      }
       size += getUnknownFields().getSerializedSize();
       memoizedSize = size;
       return size;
@@ -15097,6 +15201,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getLearningRateParameterName().equals(other.getLearningRateParameterName()))
         return false;
       if (getUseElapsedDuration() != other.getUseElapsedDuration()) return false;
+      if (hasUpdateAllStoppedTrials() != other.hasUpdateAllStoppedTrials()) return false;
+      if (hasUpdateAllStoppedTrials()) {
+        if (getUpdateAllStoppedTrials() != other.getUpdateAllStoppedTrials()) return false;
+      }
       if (!getUnknownFields().equals(other.getUnknownFields())) return false;
       return true;
     }
@@ -15118,6 +15226,10 @@ public int hashCode() {
       hash = (53 * hash) + getLearningRateParameterName().hashCode();
       hash = (37 * hash) + USE_ELAPSED_DURATION_FIELD_NUMBER;
       hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getUseElapsedDuration());
+      if (hasUpdateAllStoppedTrials()) {
+        hash = (37 * hash) + UPDATE_ALL_STOPPED_TRIALS_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getUpdateAllStoppedTrials());
+      }
       hash = (29 * hash) + getUnknownFields().hashCode();
       memoizedHashCode = hash;
       return hash;
@@ -15286,6 +15398,8 @@ public Builder clear() {
 
         useElapsedDuration_ = false;
 
+        updateAllStoppedTrials_ = false;
+        bitField0_ = (bitField0_ & ~0x00000001);
         return this;
       }
 
@@ -15317,11 +15431,18 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
           buildPartial() {
         com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec result =
             new com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec(this);
+        int from_bitField0_ = bitField0_;
+        int to_bitField0_ = 0;
         result.maxStepCount_ = maxStepCount_;
         result.minStepCount_ = minStepCount_;
         result.minMeasurementCount_ = minMeasurementCount_;
         result.learningRateParameterName_ = learningRateParameterName_;
         result.useElapsedDuration_ = useElapsedDuration_;
+        if (((from_bitField0_ & 0x00000001) != 0)) {
+          result.updateAllStoppedTrials_ = updateAllStoppedTrials_;
+          to_bitField0_ |= 0x00000001;
+        }
+        result.bitField0_ = to_bitField0_;
         onBuilt();
         return result;
       }
@@ -15394,6 +15515,9 @@ public Builder mergeFrom(
         if (other.getUseElapsedDuration() != false) {
           setUseElapsedDuration(other.getUseElapsedDuration());
         }
+        if (other.hasUpdateAllStoppedTrials()) {
+          setUpdateAllStoppedTrials(other.getUpdateAllStoppedTrials());
+        }
         this.mergeUnknownFields(other.getUnknownFields());
         onChanged();
         return this;
@@ -15450,6 +15574,12 @@ public Builder mergeFrom(
 
                   break;
                 } // case 40
+              case 48:
+                {
+                  updateAllStoppedTrials_ = input.readBool();
+                  bitField0_ |= 0x00000001;
+                  break;
+                } // case 48
               default:
                 {
                   if (!super.parseUnknownField(input, extensionRegistry, tag)) {
@@ -15467,6 +15597,8 @@ public Builder mergeFrom(
         return this;
       }
 
+      private int bitField0_;
+
       private long maxStepCount_;
       /**
        *
@@ -15850,6 +15982,97 @@ public Builder clearUseElapsedDuration() {
         return this;
       }
 
+      private boolean updateAllStoppedTrials_;
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return Whether the updateAllStoppedTrials field is set.
+       */
+      @java.lang.Override
+      public boolean hasUpdateAllStoppedTrials() {
+        return ((bitField0_ & 0x00000001) != 0);
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return The updateAllStoppedTrials.
+       */
+      @java.lang.Override
+      public boolean getUpdateAllStoppedTrials() {
+        return updateAllStoppedTrials_;
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @param value The updateAllStoppedTrials to set.
+       * @return This builder for chaining.
+       */
+      public Builder setUpdateAllStoppedTrials(boolean value) {
+        bitField0_ |= 0x00000001;
+        updateAllStoppedTrials_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * 
+       * ConvexAutomatedStoppingSpec by default only updates the trials that needs
+       * to be early stopped using a newly trained auto-regressive model. When
+       * this flag is set to True, all stopped trials from the beginning are
+       * potentially updated in terms of their `final_measurement`. Also, note
+       * that the training logic of autoregressive models is different in this
+       * case. Enabling this option has shown better results and this may be the
+       * default option in the future.
+       * 

+       *
+       * optional bool update_all_stopped_trials = 6;
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearUpdateAllStoppedTrials() {
+        bitField0_ = (bitField0_ & ~0x00000001);
+        updateAllStoppedTrials_ = false;
+        onChanged();
+        return this;
+      }
+
       @java.lang.Override
       public final Builder setUnknownFields(
           final com.google.protobuf.UnknownFieldSet unknownFields) {
@@ -18178,7 +18401,7 @@ public boolean hasMedianAutomatedStoppingSpec() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+   *     google/cloud/aiplatform/v1beta1/study.proto;l=588
    * @return Whether the convexStopConfig field is set.
    */
   @java.lang.Override
@@ -18199,7 +18422,7 @@ public boolean hasConvexStopConfig() {
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+   *     google/cloud/aiplatform/v1beta1/study.proto;l=588
    * @return The convexStopConfig.
    */
   @java.lang.Override
@@ -19917,7 +20140,7 @@ public Builder clearMedianAutomatedStoppingSpec() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-     *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+     *     google/cloud/aiplatform/v1beta1/study.proto;l=588
      * @return Whether the convexStopConfig field is set.
      */
     @java.lang.Override
@@ -19938,7 +20161,7 @@ public boolean hasConvexStopConfig() {
      * 
      *
      * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-     *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+     *     google/cloud/aiplatform/v1beta1/study.proto;l=588
      * @return The convexStopConfig.
      */
     @java.lang.Override
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
index 3ba8fa870c03..8345bf5be7a4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
@@ -122,7 +122,7 @@ public interface StudySpecOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+   *     google/cloud/aiplatform/v1beta1/study.proto;l=588
    * @return Whether the convexStopConfig field is set.
    */
   @java.lang.Deprecated
@@ -140,7 +140,7 @@ public interface StudySpecOrBuilder
    * 
    *
    * @deprecated google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See
-   *     google/cloud/aiplatform/v1beta1/study.proto;l=566
+   *     google/cloud/aiplatform/v1beta1/study.proto;l=588
    * @return The convexStopConfig.
    */
   @java.lang.Deprecated
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsRequest.java
index 14e1b72de41f..553d80f8777a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+ * Request message for
+ * [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SuggestTrialsRequest}
@@ -378,7 +379,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+   * Request message for
+   * [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SuggestTrialsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsResponse.java
index c4fad1056752..29ae5aedad69 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SuggestTrialsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+ * Response message for
+ * [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.SuggestTrialsResponse}
@@ -470,7 +471,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+   * Response message for
+   * [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.SuggestTrialsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
index 118ebf7f806d..1d0ffee40b86 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
@@ -295,8 +295,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryption
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -319,8 +319,8 @@ public java.lang.String getBlobStoragePathPrefix() {
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1773,8 +1773,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1797,8 +1797,8 @@ public java.lang.String getBlobStoragePathPrefix() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1821,8 +1821,8 @@ public com.google.protobuf.ByteString getBlobStoragePathPrefixBytes() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1844,8 +1844,8 @@ public Builder setBlobStoragePathPrefix(java.lang.String value) {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1863,8 +1863,8 @@ public Builder clearBlobStoragePathPrefix() {
      *
      *
      * 
-     * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-     * can either be a bucket or directory. Does not end with a '/'.
+     * Output only. Consumer project Cloud Storage path prefix used to store blob
+     * data, which can either be a bucket or directory. Does not end with a '/'.
      * 

      *
      * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlob.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlob.java
index ce1435b2e765..1777e3d7ea56 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlob.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlob.java
@@ -74,8 +74,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -98,8 +98,8 @@ public java.lang.String getId() {
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -494,8 +494,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -517,8 +517,8 @@ public java.lang.String getId() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -540,8 +540,8 @@ public com.google.protobuf.ByteString getIdBytes() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -562,8 +562,8 @@ public Builder setId(java.lang.String value) {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -580,8 +580,8 @@ public Builder clearId() {
      *
      *
      * 
-     * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-     * stored in the Cloud Storage bucket of the consumer project.
+     * Output only. A URI safe key uniquely identifying a blob. Can be used to
+     * locate the blob stored in the Cloud Storage bucket of the consumer project.
      * 

      *
      * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlobOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlobOrBuilder.java
index cb2272e69e7f..7f3083a13ceb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlobOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardBlobOrBuilder.java
@@ -27,8 +27,8 @@ public interface TensorboardBlobOrBuilder
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -40,8 +40,8 @@ public interface TensorboardBlobOrBuilder
    *
    *
    * 
-   * Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-   * stored in the Cloud Storage bucket of the consumer project.
+   * Output only. A URI safe key uniquely identifying a blob. Can be used to
+   * locate the blob stored in the Cloud Storage bucket of the consumer project.
    * 

    *
    * string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperiment.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperiment.java
index bfd2d2ec7ae4..08d6c73701cc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperiment.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperiment.java
@@ -531,7 +531,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -554,7 +555,8 @@ public java.lang.String getSource() {
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2198,7 +2200,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2220,7 +2223,8 @@ public java.lang.String getSource() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2242,7 +2246,8 @@ public com.google.protobuf.ByteString getSourceBytes() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2263,7 +2268,8 @@ public Builder setSource(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -2280,7 +2286,8 @@ public Builder clearSource() {
      *
      *
      * 
-     * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+     * Immutable. Source of the TensorboardExperiment. Example: a custom training
+     * job.
      * 

      *
      * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperimentOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperimentOrBuilder.java
index c382f6d3ccf3..00309434d64c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperimentOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardExperimentOrBuilder.java
@@ -323,7 +323,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -335,7 +336,8 @@ java.lang.String getLabelsOrDefault(
    *
    *
    * 
-   * Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+   * Immutable. Source of the TensorboardExperiment. Example: a custom training
+   * job.
    * 

    *
    * string source = 8 [(.google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardOrBuilder.java
index 51abf2ceeefd..5577940d73a4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardOrBuilder.java
@@ -147,8 +147,8 @@ public interface TensorboardOrBuilder
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -160,8 +160,8 @@ public interface TensorboardOrBuilder
    *
    *
    * 
-   * Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-   * can either be a bucket or directory. Does not end with a '/'.
+   * Output only. Consumer project Cloud Storage path prefix used to store blob
+   * data, which can either be a bucket or directory. Does not end with a '/'.
    * 

    *
    * string blob_storage_path_prefix = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceProto.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceProto.java
index a3e1c796dfb9..c26933e384b6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceProto.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardServiceProto.java
@@ -35,6 +35,26 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_fieldAccessorTable;
   static final com.google.protobuf.Descriptors.Descriptor
       internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsRequest_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
@@ -225,366 +245,386 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "d\030\002 \001(\0132,.google.cloud.aiplatform.v1beta"
           + "1.TensorboardB\003\340A\002\"T\n\025GetTensorboardRequ"
           + "est\022;\n\004name\030\001 \001(\tB-\340A\002\372A\'\n%aiplatform.go"
-          + "ogleapis.com/Tensorboard\"\320\001\n\027ListTensorb"
-          + "oardsRequest\022=\n\006parent\030\001 \001(\tB-\340A\002\372A\'\022%ai"
-          + "platform.googleapis.com/Tensorboard\022\016\n\006f"
-          + "ilter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_t"
-          + "oken\030\004 \001(\t\022\020\n\010order_by\030\005 \001(\t\022-\n\tread_mas"
-          + "k\030\006 \001(\0132\032.google.protobuf.FieldMask\"w\n\030L"
-          + "istTensorboardsResponse\022B\n\014tensorboards\030"
-          + "\001 \003(\0132,.google.cloud.aiplatform.v1beta1."
-          + "Tensorboard\022\027\n\017next_page_token\030\002 \001(\t\"\230\001\n"
-          + "\030UpdateTensorboardRequest\0224\n\013update_mask"
-          + "\030\001 \001(\0132\032.google.protobuf.FieldMaskB\003\340A\002\022"
-          + "F\n\013tensorboard\030\002 \001(\0132,.google.cloud.aipl"
-          + "atform.v1beta1.TensorboardB\003\340A\002\"W\n\030Delet"
-          + "eTensorboardRequest\022;\n\004name\030\001 \001(\tB-\340A\002\372A"
-          + "\'\n%aiplatform.googleapis.com/Tensorboard"
-          + "\"\355\001\n\"CreateTensorboardExperimentRequest\022"
-          + "G\n\006parent\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.goog"
-          + "leapis.com/TensorboardExperiment\022V\n\026tens"
-          + "orboard_experiment\030\002 \001(\01326.google.cloud."
-          + "aiplatform.v1beta1.TensorboardExperiment"
-          + "\022&\n\031tensorboard_experiment_id\030\003 \001(\tB\003\340A\002"
-          + "\"h\n\037GetTensorboardExperimentRequest\022E\n\004n"
-          + "ame\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.googleapis"
-          + ".com/TensorboardExperiment\"\344\001\n!ListTenso"
-          + "rboardExperimentsRequest\022G\n\006parent\030\001 \001(\t"
-          + "B7\340A\002\372A1\022/aiplatform.googleapis.com/Tens"
-          + "orboardExperiment\022\016\n\006filter\030\002 \001(\t\022\021\n\tpag"
-          + "e_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022\020\n\010orde"
-          + "r_by\030\005 \001(\t\022-\n\tread_mask\030\006 \001(\0132\032.google.p"
-          + "rotobuf.FieldMask\"\226\001\n\"ListTensorboardExp"
-          + "erimentsResponse\022W\n\027tensorboard_experime"
-          + "nts\030\001 \003(\01326.google.cloud.aiplatform.v1be"
-          + "ta1.TensorboardExperiment\022\027\n\017next_page_t"
-          + "oken\030\002 \001(\t\"\267\001\n\"UpdateTensorboardExperime"
-          + "ntRequest\0224\n\013update_mask\030\001 \001(\0132\032.google."
-          + "protobuf.FieldMaskB\003\340A\002\022[\n\026tensorboard_e"
-          + "xperiment\030\002 \001(\01326.google.cloud.aiplatfor"
-          + "m.v1beta1.TensorboardExperimentB\003\340A\002\"k\n\""
-          + "DeleteTensorboardExperimentRequest\022E\n\004na"
-          + "me\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.googleapis."
-          + "com/TensorboardExperiment\"\301\001\n!BatchCreat"
-          + "eTensorboardRunsRequest\022G\n\006parent\030\001 \001(\tB"
-          + "7\340A\002\372A1\n/aiplatform.googleapis.com/Tenso"
-          + "rboardExperiment\022S\n\010requests\030\002 \003(\0132<.goo"
-          + "gle.cloud.aiplatform.v1beta1.CreateTenso"
-          + "rboardRunRequestB\003\340A\002\"o\n\"BatchCreateTens"
-          + "orboardRunsResponse\022I\n\020tensorboard_runs\030"
-          + "\001 \003(\0132/.google.cloud.aiplatform.v1beta1."
-          + "TensorboardRun\"\317\001\n\033CreateTensorboardRunR"
-          + "equest\022@\n\006parent\030\001 \001(\tB0\340A\002\372A*\n(aiplatfo"
-          + "rm.googleapis.com/TensorboardRun\022M\n\017tens"
-          + "orboard_run\030\002 \001(\0132/.google.cloud.aiplatf"
-          + "orm.v1beta1.TensorboardRunB\003\340A\002\022\037\n\022tenso"
-          + "rboard_run_id\030\003 \001(\tB\003\340A\002\"Z\n\030GetTensorboa"
-          + "rdRunRequest\022>\n\004name\030\001 \001(\tB0\340A\002\372A*\n(aipl"
-          + "atform.googleapis.com/TensorboardRun\"\200\001\n"
-          + "\036ReadTensorboardBlobDataRequest\022L\n\013time_"
-          + "series\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.googlea"
-          + "pis.com/TensorboardTimeSeries\022\020\n\010blob_id"
-          + "s\030\002 \003(\t\"b\n\037ReadTensorboardBlobDataRespon"
-          + "se\022?\n\005blobs\030\001 \003(\01320.google.cloud.aiplatf"
-          + "orm.v1beta1.TensorboardBlob\"\326\001\n\032ListTens"
-          + "orboardRunsRequest\022@\n\006parent\030\001 \001(\tB0\340A\002\372"
-          + "A*\022(aiplatform.googleapis.com/Tensorboar"
-          + "dRun\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022"
-          + "\022\n\npage_token\030\004 \001(\t\022\020\n\010order_by\030\005 \001(\t\022-\n"
-          + "\tread_mask\030\006 \001(\0132\032.google.protobuf.Field"
-          + "Mask\"\201\001\n\033ListTensorboardRunsResponse\022I\n\020"
-          + "tensorboard_runs\030\001 \003(\0132/.google.cloud.ai"
-          + "platform.v1beta1.TensorboardRun\022\027\n\017next_"
-          + "page_token\030\002 \001(\t\"\242\001\n\033UpdateTensorboardRu"
-          + "nRequest\0224\n\013update_mask\030\001 \001(\0132\032.google.p"
-          + "rotobuf.FieldMaskB\003\340A\002\022M\n\017tensorboard_ru"
-          + "n\030\002 \001(\0132/.google.cloud.aiplatform.v1beta"
-          + "1.TensorboardRunB\003\340A\002\"]\n\033DeleteTensorboa"
-          + "rdRunRequest\022>\n\004name\030\001 \001(\tB0\340A\002\372A*\n(aipl"
-          + "atform.googleapis.com/TensorboardRun\"\316\001\n"
-          + "\'BatchCreateTensorboardTimeSeriesRequest"
-          + "\022G\n\006parent\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.goo"
-          + "gleapis.com/TensorboardExperiment\022Z\n\010req"
-          + "uests\030\002 \003(\0132C.google.cloud.aiplatform.v1"
-          + "beta1.CreateTensorboardTimeSeriesRequest"
-          + "B\003\340A\002\"\203\001\n(BatchCreateTensorboardTimeSeri"
-          + "esResponse\022W\n\027tensorboard_time_series\030\001 "
-          + "\003(\01326.google.cloud.aiplatform.v1beta1.Te"
-          + "nsorboardTimeSeries\"\364\001\n\"CreateTensorboar"
-          + "dTimeSeriesRequest\022G\n\006parent\030\001 \001(\tB7\340A\002\372"
-          + "A1\n/aiplatform.googleapis.com/Tensorboar"
-          + "dTimeSeries\022\'\n\032tensorboard_time_series_i"
-          + "d\030\003 \001(\tB\003\340A\001\022\\\n\027tensorboard_time_series\030"
-          + "\002 \001(\01326.google.cloud.aiplatform.v1beta1."
-          + "TensorboardTimeSeriesB\003\340A\002\"h\n\037GetTensorb"
-          + "oardTimeSeriesRequest\022E\n\004name\030\001 \001(\tB7\340A\002"
-          + "\372A1\n/aiplatform.googleapis.com/Tensorboa"
-          + "rdTimeSeries\"\343\001\n ListTensorboardTimeSeri"
-          + "esRequest\022G\n\006parent\030\001 \001(\tB7\340A\002\372A1\022/aipla"
-          + "tform.googleapis.com/TensorboardTimeSeri"
-          + "es\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n"
-          + "\npage_token\030\004 \001(\t\022\020\n\010order_by\030\005 \001(\t\022-\n\tr"
-          + "ead_mask\030\006 \001(\0132\032.google.protobuf.FieldMa"
-          + "sk\"\225\001\n!ListTensorboardTimeSeriesResponse"
-          + "\022W\n\027tensorboard_time_series\030\001 \003(\01326.goog"
-          + "le.cloud.aiplatform.v1beta1.TensorboardT"
-          + "imeSeries\022\027\n\017next_page_token\030\002 \001(\t\"\270\001\n\"U"
-          + "pdateTensorboardTimeSeriesRequest\0224\n\013upd"
+          + "ogleapis.com/Tensorboard\"a\n\033ReadTensorbo"
+          + "ardUsageRequest\022B\n\013tensorboard\030\001 \001(\tB-\340A"
+          + "\002\372A\'\n%aiplatform.googleapis.com/Tensorbo"
+          + "ard\"\322\003\n\034ReadTensorboardUsageResponse\022o\n\022"
+          + "monthly_usage_data\030\001 \003(\0132S.google.cloud."
+          + "aiplatform.v1beta1.ReadTensorboardUsageR"
+          + "esponse.MonthlyUsageDataEntry\0328\n\020PerUser"
+          + "UsageData\022\020\n\010username\030\001 \001(\t\022\022\n\nview_coun"
+          + "t\030\002 \001(\003\032|\n\021PerMonthUsageData\022g\n\017user_usa"
+          + "ge_data\030\001 \003(\0132N.google.cloud.aiplatform."
+          + "v1beta1.ReadTensorboardUsageResponse.Per"
+          + "UserUsageData\032\210\001\n\025MonthlyUsageDataEntry\022"
+          + "\013\n\003key\030\001 \001(\t\022^\n\005value\030\002 \001(\0132O.google.clo"
+          + "ud.aiplatform.v1beta1.ReadTensorboardUsa"
+          + "geResponse.PerMonthUsageData:\0028\001\"\320\001\n\027Lis"
+          + "tTensorboardsRequest\022=\n\006parent\030\001 \001(\tB-\340A"
+          + "\002\372A\'\022%aiplatform.googleapis.com/Tensorbo"
+          + "ard\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022"
+          + "\n\npage_token\030\004 \001(\t\022\020\n\010order_by\030\005 \001(\t\022-\n\t"
+          + "read_mask\030\006 \001(\0132\032.google.protobuf.FieldM"
+          + "ask\"w\n\030ListTensorboardsResponse\022B\n\014tenso"
+          + "rboards\030\001 \003(\0132,.google.cloud.aiplatform."
+          + "v1beta1.Tensorboard\022\027\n\017next_page_token\030\002"
+          + " \001(\t\"\230\001\n\030UpdateTensorboardRequest\0224\n\013upd"
           + "ate_mask\030\001 \001(\0132\032.google.protobuf.FieldMa"
-          + "skB\003\340A\002\022\\\n\027tensorboard_time_series\030\002 \001(\013"
-          + "26.google.cloud.aiplatform.v1beta1.Tenso"
-          + "rboardTimeSeriesB\003\340A\002\"k\n\"DeleteTensorboa"
-          + "rdTimeSeriesRequest\022E\n\004name\030\001 \001(\tB7\340A\002\372A"
+          + "skB\003\340A\002\022F\n\013tensorboard\030\002 \001(\0132,.google.cl"
+          + "oud.aiplatform.v1beta1.TensorboardB\003\340A\002\""
+          + "W\n\030DeleteTensorboardRequest\022;\n\004name\030\001 \001("
+          + "\tB-\340A\002\372A\'\n%aiplatform.googleapis.com/Ten"
+          + "sorboard\"\355\001\n\"CreateTensorboardExperiment"
+          + "Request\022G\n\006parent\030\001 \001(\tB7\340A\002\372A1\n/aiplatf"
+          + "orm.googleapis.com/TensorboardExperiment"
+          + "\022V\n\026tensorboard_experiment\030\002 \001(\01326.googl"
+          + "e.cloud.aiplatform.v1beta1.TensorboardEx"
+          + "periment\022&\n\031tensorboard_experiment_id\030\003 "
+          + "\001(\tB\003\340A\002\"h\n\037GetTensorboardExperimentRequ"
+          + "est\022E\n\004name\030\001 \001(\tB7\340A\002\372A1\n/aiplatform.go"
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+          + "oud.aiplatform.v1beta1.CreateTensorboard"
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+          + "eta1.TensorboardRun\"\217\001\202\323\344\223\002]\"J/v1beta1/{"
+          + "parent=projects/*/locations/*/tensorboar"
+          + "ds/*/experiments/*}/runs:\017tensorboard_ru"
+          + "n\332A)parent,tensorboard_run,tensorboard_r"
+          + "un_id\022\232\002\n\032BatchCreateTensorboardRuns\022B.g"
+          + "oogle.cloud.aiplatform.v1beta1.BatchCrea"
+          + "teTensorboardRunsRequest\032C.google.cloud."
+          + "aiplatform.v1beta1.BatchCreateTensorboar"
+          + "dRunsResponse\"s\202\323\344\223\002[\"V/v1beta1/{parent="
+          + "projects/*/locations/*/tensorboards/*/ex"
+          + "periments/*}/runs:batchCreate:\001*\332A\017paren"
+          + "t,requests\022\332\001\n\021GetTensorboardRun\0229.googl"
+          + "e.cloud.aiplatform.v1beta1.GetTensorboar"
+          + "dRunRequest\032/.google.cloud.aiplatform.v1"
+          + "beta1.TensorboardRun\"Y\202\323\344\223\002L\022J/v1beta1/{"
+          + "name=projects/*/locations/*/tensorboards"
+          + "/*/experiments/*/runs/*}\332A\004name\022\231\002\n\024Upda"
           + "teTensorboardRun\022<.google.cloud.aiplatfo"
-          + "rm.v1beta1.CreateTensorboardRunRequest\032/"
+          + "rm.v1beta1.UpdateTensorboardRunRequest\032/"
           + ".google.cloud.aiplatform.v1beta1.Tensorb"
-          + "oardRun\"\217\001\202\323\344\223\002]\"J/v1beta1/{parent=proje"
-          + "cts/*/locations/*/tensorboards/*/experim"
-          + "ents/*}/runs:\017tensorboard_run\332A)parent,t"
-          + "ensorboard_run,tensorboard_run_id\022\232\002\n\032Ba"
-          + "tchCreateTensorboardRuns\022B.google.cloud."
-          + "aiplatform.v1beta1.BatchCreateTensorboar"
-          + "dRunsRequest\032C.google.cloud.aiplatform.v"
-          + "1beta1.BatchCreateTensorboardRunsRespons"
-          + "e\"s\202\323\344\223\002[\"V/v1beta1/{parent=projects/*/l"
-          + "ocations/*/tensorboards/*/experiments/*}"
-          + "/runs:batchCreate:\001*\332A\017parent,requests\022\332"
-          + "\001\n\021GetTensorboardRun\0229.google.cloud.aipl"
-          + "atform.v1beta1.GetTensorboardRunRequest\032"
-          + "/.google.cloud.aiplatform.v1beta1.Tensor"
-          + "boardRun\"Y\202\323\344\223\002L\022J/v1beta1/{name=project"
-          + "s/*/locations/*/tensorboards/*/experimen"
-          + "ts/*/runs/*}\332A\004name\022\231\002\n\024UpdateTensorboar"
-          + "dRun\022<.google.cloud.aiplatform.v1beta1.U"
-          + "pdateTensorboardRunRequest\032/.google.clou"
-          + "d.aiplatform.v1beta1.TensorboardRun\"\221\001\202\323"
-          + "\344\223\002m2Z/v1beta1/{tensorboard_run.name=pro"
-          + "jects/*/locations/*/tensorboards/*/exper"
-          + "iments/*/runs/*}:\017tensorboard_run\332A\033tens"
-          + "orboard_run,update_mask\022\355\001\n\023ListTensorbo"
-          + "ardRuns\022;.google.cloud.aiplatform.v1beta"
-          + "1.ListTensorboardRunsRequest\032<.google.cl"
-          + "oud.aiplatform.v1beta1.ListTensorboardRu"
-          + "nsResponse\"[\202\323\344\223\002L\022J/v1beta1/{parent=pro"
-          + "jects/*/locations/*/tensorboards/*/exper"
-          + "iments/*}/runs\332A\006parent\022\202\002\n\024DeleteTensor"
-          + "boardRun\022<.google.cloud.aiplatform.v1bet"
-          + "a1.DeleteTensorboardRunRequest\032\035.google."
-          + "longrunning.Operation\"\214\001\202\323\344\223\002L*J/v1beta1"
-          + "/{name=projects/*/locations/*/tensorboar"
-          + "ds/*/experiments/*/runs/*}\332A\004name\312A0\n\025go"
-          + "ogle.protobuf.Empty\022\027DeleteOperationMeta"
-          + "data\022\272\002\n BatchCreateTensorboardTimeSerie"
-          + "s\022H.google.cloud.aiplatform.v1beta1.Batc"
-          + "hCreateTensorboardTimeSeriesRequest\032I.go"
-          + "ogle.cloud.aiplatform.v1beta1.BatchCreat"
-          + "eTensorboardTimeSeriesResponse\"\200\001\202\323\344\223\002h\""
-          + "c/v1beta1/{parent=projects/*/locations/*"
-          + "/tensorboards/*/experiments/*}/runs/*/ti"
-          + "meSeries:batchCreate:\001*\332A\017parent,request"
-          + "s\022\266\002\n\033CreateTensorboardTimeSeries\022C.goog"
-          + "le.cloud.aiplatform.v1beta1.CreateTensor"
-          + "boardTimeSeriesRequest\0326.google.cloud.ai"
-          + "platform.v1beta1.TensorboardTimeSeries\"\231"
-          + "\001\202\323\344\223\002r\"W/v1beta1/{parent=projects/*/loc"
-          + "ations/*/tensorboards/*/experiments/*/ru"
-          + "ns/*}/timeSeries:\027tensorboard_time_serie"
-          + "s\332A\036parent,tensorboard_time_series\022\374\001\n\030G"
-          + "etTensorboardTimeSeries\022@.google.cloud.a"
-          + "iplatform.v1beta1.GetTensorboardTimeSeri"
-          + "esRequest\0326.google.cloud.aiplatform.v1be"
-          + "ta1.TensorboardTimeSeries\"f\202\323\344\223\002Y\022W/v1be"
-          + "ta1/{name=projects/*/locations/*/tensorb"
-          + "oards/*/experiments/*/runs/*/timeSeries/"
-          + "*}\332A\004name\022\324\002\n\033UpdateTensorboardTimeSerie"
-          + "s\022C.google.cloud.aiplatform.v1beta1.Upda"
-          + "teTensorboardTimeSeriesRequest\0326.google."
-          + "cloud.aiplatform.v1beta1.TensorboardTime"
-          + "Series\"\267\001\202\323\344\223\002\212\0012o/v1beta1/{tensorboard_"
-          + "time_series.name=projects/*/locations/*/"
-          + "tensorboards/*/experiments/*/runs/*/time"
-          + "Series/*}:\027tensorboard_time_series\332A#ten"
-          + "sorboard_time_series,update_mask\022\214\002\n\031Lis"
-          + "tTensorboardTimeSeries\022A.google.cloud.ai"
-          + "platform.v1beta1.ListTensorboardTimeSeri"
-          + "esRequest\032B.google.cloud.aiplatform.v1be"
-          + "ta1.ListTensorboardTimeSeriesResponse\"h\202"
-          + "\323\344\223\002Y\022W/v1beta1/{parent=projects/*/locat"
-          + "ions/*/tensorboards/*/experiments/*/runs"
-          + "/*}/timeSeries\332A\006parent\022\235\002\n\033DeleteTensor"
-          + "boardTimeSeries\022C.google.cloud.aiplatfor"
-          + "m.v1beta1.DeleteTensorboardTimeSeriesReq"
-          + "uest\032\035.google.longrunning.Operation\"\231\001\202\323"
-          + "\344\223\002Y*W/v1beta1/{name=projects/*/location"
-          + "s/*/tensorboards/*/experiments/*/runs/*/"
-          + "timeSeries/*}\332A\004name\312A0\n\025google.protobuf"
-          + ".Empty\022\027DeleteOperationMetadata\022\273\002\n\"Batc"
-          + "hReadTensorboardTimeSeriesData\022J.google."
-          + "cloud.aiplatform.v1beta1.BatchReadTensor"
-          + "boardTimeSeriesDataRequest\032K.google.clou"
-          + "d.aiplatform.v1beta1.BatchReadTensorboar"
-          + "dTimeSeriesDataResponse\"|\202\323\344\223\002h\022f/v1beta"
-          + "1/{tensorboard=projects/*/locations/*/te"
-          + "nsorboards/*}/experiments/*/runs/*/timeS"
-          + "eries:batchRead\332A\013tensorboard\022\302\002\n\035ReadTe"
-          + "nsorboardTimeSeriesData\022E.google.cloud.a"
-          + "iplatform.v1beta1.ReadTensorboardTimeSer"
-          + "iesDataRequest\032F.google.cloud.aiplatform"
-          + ".v1beta1.ReadTensorboardTimeSeriesDataRe"
-          + "sponse\"\221\001\202\323\344\223\002q\022o/v1beta1/{tensorboard_t"
-          + "ime_series=projects/*/locations/*/tensor"
-          + "boards/*/experiments/*/runs/*/timeSeries"
-          + "/*}:read\332A\027tensorboard_time_series\022\242\002\n\027R"
-          + "eadTensorboardBlobData\022?.google.cloud.ai"
-          + "platform.v1beta1.ReadTensorboardBlobData"
-          + "Request\032@.google.cloud.aiplatform.v1beta"
-          + "1.ReadTensorboardBlobDataResponse\"\201\001\202\323\344\223"
-          + "\002m\022k/v1beta1/{time_series=projects/*/loc"
-          + "ations/*/tensorboards/*/experiments/*/ru"
-          + "ns/*/timeSeries/*}:readBlobData\332A\013time_s"
-          + "eries0\001\022\313\002\n\036WriteTensorboardExperimentDa"
-          + "ta\022F.google.cloud.aiplatform.v1beta1.Wri"
-          + "teTensorboardExperimentDataRequest\032G.goo"
-          + "gle.cloud.aiplatform.v1beta1.WriteTensor"
-          + "boardExperimentDataResponse\"\227\001\202\323\344\223\002`\"[/v"
-          + "1beta1/{tensorboard_experiment=projects/"
-          + "*/locations/*/tensorboards/*/experiments"
-          + "/*}:write:\001*\332A.tensorboard_experiment,wr"
-          + "ite_run_data_requests\022\250\002\n\027WriteTensorboa"
-          + "rdRunData\022?.google.cloud.aiplatform.v1be"
-          + "ta1.WriteTensorboardRunDataRequest\032@.goo"
-          + "gle.cloud.aiplatform.v1beta1.WriteTensor"
-          + "boardRunDataResponse\"\211\001\202\323\344\223\002`\"[/v1beta1/"
-          + "{tensorboard_run=projects/*/locations/*/"
-          + "tensorboards/*/experiments/*/runs/*}:wri"
-          + "te:\001*\332A tensorboard_run,time_series_data"
-          + "\022\344\002\n\037ExportTensorboardTimeSeriesData\022G.g"
-          + "oogle.cloud.aiplatform.v1beta1.ExportTen"
-          + "sorboardTimeSeriesDataRequest\032H.google.c"
-          + "loud.aiplatform.v1beta1.ExportTensorboar"
-          + "dTimeSeriesDataResponse\"\255\001\202\323\344\223\002\214\001\"\206\001/v1b"
-          + "eta1/{tensorboard_time_series=projects/*"
+          + "oardRun\"\221\001\202\323\344\223\002m2Z/v1beta1/{tensorboard_"
+          + "run.name=projects/*/locations/*/tensorbo"
+          + "ards/*/experiments/*/runs/*}:\017tensorboar"
+          + "d_run\332A\033tensorboard_run,update_mask\022\355\001\n\023"
+          + "ListTensorboardRuns\022;.google.cloud.aipla"
+          + "tform.v1beta1.ListTensorboardRunsRequest"
+          + "\032<.google.cloud.aiplatform.v1beta1.ListT"
+          + "ensorboardRunsResponse\"[\202\323\344\223\002L\022J/v1beta1"
+          + "/{parent=projects/*/locations/*/tensorbo"
+          + "ards/*/experiments/*}/runs\332A\006parent\022\202\002\n\024"
+          + "DeleteTensorboardRun\022<.google.cloud.aipl"
+          + "atform.v1beta1.DeleteTensorboardRunReque"
+          + "st\032\035.google.longrunning.Operation\"\214\001\202\323\344\223"
+          + "\002L*J/v1beta1/{name=projects/*/locations/"
+          + "*/tensorboards/*/experiments/*/runs/*}\332A"
+          + "\004name\312A0\n\025google.protobuf.Empty\022\027DeleteO"
+          + "perationMetadata\022\272\002\n BatchCreateTensorbo"
+          + "ardTimeSeries\022H.google.cloud.aiplatform."
+          + "v1beta1.BatchCreateTensorboardTimeSeries"
+          + "Request\032I.google.cloud.aiplatform.v1beta"
+          + "1.BatchCreateTensorboardTimeSeriesRespon"
+          + "se\"\200\001\202\323\344\223\002h\"c/v1beta1/{parent=projects/*"
           + "/locations/*/tensorboards/*/experiments/"
-          + "*/runs/*/timeSeries/*}:exportTensorboard"
-          + "TimeSeries:\001*\332A\027tensorboard_time_series\032"
-          + "M\312A\031aiplatform.googleapis.com\322A.https://"
-          + "www.googleapis.com/auth/cloud-platformB\364"
-          + "\001\n#com.google.cloud.aiplatform.v1beta1B\027"
-          + "TensorboardServiceProtoP\001ZIgoogle.golang"
-          + ".org/genproto/googleapis/cloud/aiplatfor"
-          + "m/v1beta1;aiplatform\252\002\037Google.Cloud.AIPl"
-          + "atform.V1Beta1\312\002\037Google\\Cloud\\AIPlatform"
-          + "\\V1beta1\352\002\"Google::Cloud::AIPlatform::V1"
-          + "beta1b\006proto3"
+          + "*}/runs/*/timeSeries:batchCreate:\001*\332A\017pa"
+          + "rent,requests\022\266\002\n\033CreateTensorboardTimeS"
+          + "eries\022C.google.cloud.aiplatform.v1beta1."
+          + "CreateTensorboardTimeSeriesRequest\0326.goo"
+          + "gle.cloud.aiplatform.v1beta1.Tensorboard"
+          + "TimeSeries\"\231\001\202\323\344\223\002r\"W/v1beta1/{parent=pr"
+          + "ojects/*/locations/*/tensorboards/*/expe"
+          + "riments/*/runs/*}/timeSeries:\027tensorboar"
+          + "d_time_series\332A\036parent,tensorboard_time_"
+          + "series\022\374\001\n\030GetTensorboardTimeSeries\022@.go"
+          + "ogle.cloud.aiplatform.v1beta1.GetTensorb"
+          + "oardTimeSeriesRequest\0326.google.cloud.aip"
+          + "latform.v1beta1.TensorboardTimeSeries\"f\202"
+          + "\323\344\223\002Y\022W/v1beta1/{name=projects/*/locatio"
+          + "ns/*/tensorboards/*/experiments/*/runs/*"
+          + "/timeSeries/*}\332A\004name\022\324\002\n\033UpdateTensorbo"
+          + "ardTimeSeries\022C.google.cloud.aiplatform."
+          + "v1beta1.UpdateTensorboardTimeSeriesReque"
+          + "st\0326.google.cloud.aiplatform.v1beta1.Ten"
+          + "sorboardTimeSeries\"\267\001\202\323\344\223\002\212\0012o/v1beta1/{"
+          + "tensorboard_time_series.name=projects/*/"
+          + "locations/*/tensorboards/*/experiments/*"
+          + "/runs/*/timeSeries/*}:\027tensorboard_time_"
+          + "series\332A#tensorboard_time_series,update_"
+          + "mask\022\214\002\n\031ListTensorboardTimeSeries\022A.goo"
+          + "gle.cloud.aiplatform.v1beta1.ListTensorb"
+          + "oardTimeSeriesRequest\032B.google.cloud.aip"
+          + "latform.v1beta1.ListTensorboardTimeSerie"
+          + "sResponse\"h\202\323\344\223\002Y\022W/v1beta1/{parent=proj"
+          + "ects/*/locations/*/tensorboards/*/experi"
+          + "ments/*/runs/*}/timeSeries\332A\006parent\022\235\002\n\033"
+          + "DeleteTensorboardTimeSeries\022C.google.clo"
+          + "ud.aiplatform.v1beta1.DeleteTensorboardT"
+          + "imeSeriesRequest\032\035.google.longrunning.Op"
+          + "eration\"\231\001\202\323\344\223\002Y*W/v1beta1/{name=project"
+          + "s/*/locations/*/tensorboards/*/experimen"
+          + "ts/*/runs/*/timeSeries/*}\332A\004name\312A0\n\025goo"
+          + "gle.protobuf.Empty\022\027DeleteOperationMetad"
+          + "ata\022\273\002\n\"BatchReadTensorboardTimeSeriesDa"
+          + "ta\022J.google.cloud.aiplatform.v1beta1.Bat"
+          + "chReadTensorboardTimeSeriesDataRequest\032K"
+          + ".google.cloud.aiplatform.v1beta1.BatchRe"
+          + "adTensorboardTimeSeriesDataResponse\"|\202\323\344"
+          + "\223\002h\022f/v1beta1/{tensorboard=projects/*/lo"
+          + "cations/*/tensorboards/*}/experiments/*/"
+          + "runs/*/timeSeries:batchRead\332A\013tensorboar"
+          + "d\022\302\002\n\035ReadTensorboardTimeSeriesData\022E.go"
+          + "ogle.cloud.aiplatform.v1beta1.ReadTensor"
+          + "boardTimeSeriesDataRequest\032F.google.clou"
+          + "d.aiplatform.v1beta1.ReadTensorboardTime"
+          + "SeriesDataResponse\"\221\001\202\323\344\223\002q\022o/v1beta1/{t"
+          + "ensorboard_time_series=projects/*/locati"
+          + "ons/*/tensorboards/*/experiments/*/runs/"
+          + "*/timeSeries/*}:read\332A\027tensorboard_time_"
+          + "series\022\242\002\n\027ReadTensorboardBlobData\022?.goo"
+          + "gle.cloud.aiplatform.v1beta1.ReadTensorb"
+          + "oardBlobDataRequest\032@.google.cloud.aipla"
+          + "tform.v1beta1.ReadTensorboardBlobDataRes"
+          + "ponse\"\201\001\202\323\344\223\002m\022k/v1beta1/{time_series=pr"
+          + "ojects/*/locations/*/tensorboards/*/expe"
+          + "riments/*/runs/*/timeSeries/*}:readBlobD"
+          + "ata\332A\013time_series0\001\022\313\002\n\036WriteTensorboard"
+          + "ExperimentData\022F.google.cloud.aiplatform"
+          + ".v1beta1.WriteTensorboardExperimentDataR"
+          + "equest\032G.google.cloud.aiplatform.v1beta1"
+          + ".WriteTensorboardExperimentDataResponse\""
+          + "\227\001\202\323\344\223\002`\"[/v1beta1/{tensorboard_experime"
+          + "nt=projects/*/locations/*/tensorboards/*"
+          + "/experiments/*}:write:\001*\332A.tensorboard_e"
+          + "xperiment,write_run_data_requests\022\250\002\n\027Wr"
+          + "iteTensorboardRunData\022?.google.cloud.aip"
+          + "latform.v1beta1.WriteTensorboardRunDataR"
+          + "equest\032@.google.cloud.aiplatform.v1beta1"
+          + ".WriteTensorboardRunDataResponse\"\211\001\202\323\344\223\002"
+          + "`\"[/v1beta1/{tensorboard_run=projects/*/"
+          + "locations/*/tensorboards/*/experiments/*"
+          + "/runs/*}:write:\001*\332A tensorboard_run,time"
+          + "_series_data\022\344\002\n\037ExportTensorboardTimeSe"
+          + "riesData\022G.google.cloud.aiplatform.v1bet"
+          + "a1.ExportTensorboardTimeSeriesDataReques"
+          + "t\032H.google.cloud.aiplatform.v1beta1.Expo"
+          + "rtTensorboardTimeSeriesDataResponse\"\255\001\202\323"
+          + "\344\223\002\214\001\"\206\001/v1beta1/{tensorboard_time_serie"
+          + "s=projects/*/locations/*/tensorboards/*/"
+          + "experiments/*/runs/*/timeSeries/*}:expor"
+          + "tTensorboardTimeSeries:\001*\332A\027tensorboard_"
+          + "time_series\032M\312A\031aiplatform.googleapis.co"
+          + "m\322A.https://www.googleapis.com/auth/clou"
+          + "d-platformB\364\001\n#com.google.cloud.aiplatfo"
+          + "rm.v1beta1B\027TensorboardServiceProtoP\001ZIg"
+          + "oogle.golang.org/genproto/googleapis/clo"
+          + "ud/aiplatform/v1beta1;aiplatform\252\002\037Googl"
+          + "e.Cloud.AIPlatform.V1Beta1\312\002\037Google\\Clou"
+          + "d\\AIPlatform\\V1beta1\352\002\"Google::Cloud::AI",
+      "Platform::V1beta1b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -619,8 +659,54 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "Name",
             });
-    internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsRequest_descriptor =
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor =
         getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageRequest_descriptor,
+            new java.lang.String[] {
+              "Tensorboard",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor,
+            new java.lang.String[] {
+              "MonthlyUsageData",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerUserUsageData_descriptor,
+            new java.lang.String[] {
+              "Username", "ViewCount",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_PerMonthUsageData_descriptor,
+            new java.lang.String[] {
+              "UserUsageData",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardUsageResponse_MonthlyUsageDataEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(4);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsRequest_descriptor,
@@ -628,7 +714,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(3);
+        getDescriptor().getMessageTypes().get(5);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardsResponse_descriptor,
@@ -636,7 +722,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Tensorboards", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRequest_descriptor =
-        getDescriptor().getMessageTypes().get(4);
+        getDescriptor().getMessageTypes().get(6);
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRequest_descriptor,
@@ -644,7 +730,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "Tensorboard",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRequest_descriptor =
-        getDescriptor().getMessageTypes().get(5);
+        getDescriptor().getMessageTypes().get(7);
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRequest_descriptor,
@@ -652,7 +738,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(6);
+        getDescriptor().getMessageTypes().get(8);
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardExperimentRequest_descriptor,
@@ -660,7 +746,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardExperiment", "TensorboardExperimentId",
             });
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(7);
+        getDescriptor().getMessageTypes().get(9);
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardExperimentRequest_descriptor,
@@ -668,7 +754,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(8);
+        getDescriptor().getMessageTypes().get(10);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsRequest_descriptor,
@@ -676,7 +762,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(9);
+        getDescriptor().getMessageTypes().get(11);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardExperimentsResponse_descriptor,
@@ -684,7 +770,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardExperiments", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(10);
+        getDescriptor().getMessageTypes().get(12);
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardExperimentRequest_descriptor,
@@ -692,7 +778,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardExperiment",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardExperimentRequest_descriptor =
-        getDescriptor().getMessageTypes().get(11);
+        getDescriptor().getMessageTypes().get(13);
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardExperimentRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardExperimentRequest_descriptor,
@@ -700,7 +786,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(12);
+        getDescriptor().getMessageTypes().get(14);
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsRequest_descriptor,
@@ -708,7 +794,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Requests",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(13);
+        getDescriptor().getMessageTypes().get(15);
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardRunsResponse_descriptor,
@@ -716,7 +802,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRuns",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(14);
+        getDescriptor().getMessageTypes().get(16);
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardRunRequest_descriptor,
@@ -724,7 +810,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardRun", "TensorboardRunId",
             });
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(15);
+        getDescriptor().getMessageTypes().get(17);
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardRunRequest_descriptor,
@@ -732,7 +818,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(16);
+        getDescriptor().getMessageTypes().get(18);
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataRequest_descriptor,
@@ -740,7 +826,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeries", "BlobIds",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(17);
+        getDescriptor().getMessageTypes().get(19);
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardBlobDataResponse_descriptor,
@@ -748,7 +834,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Blobs",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsRequest_descriptor =
-        getDescriptor().getMessageTypes().get(18);
+        getDescriptor().getMessageTypes().get(20);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsRequest_descriptor,
@@ -756,7 +842,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsResponse_descriptor =
-        getDescriptor().getMessageTypes().get(19);
+        getDescriptor().getMessageTypes().get(21);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardRunsResponse_descriptor,
@@ -764,7 +850,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRuns", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(20);
+        getDescriptor().getMessageTypes().get(22);
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardRunRequest_descriptor,
@@ -772,7 +858,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardRun",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRunRequest_descriptor =
-        getDescriptor().getMessageTypes().get(21);
+        getDescriptor().getMessageTypes().get(23);
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRunRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardRunRequest_descriptor,
@@ -780,7 +866,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(22);
+        getDescriptor().getMessageTypes().get(24);
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesRequest_descriptor,
@@ -788,7 +874,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Requests",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesResponse_descriptor =
-        getDescriptor().getMessageTypes().get(23);
+        getDescriptor().getMessageTypes().get(25);
     internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchCreateTensorboardTimeSeriesResponse_descriptor,
@@ -796,7 +882,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(24);
+        getDescriptor().getMessageTypes().get(26);
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardTimeSeriesRequest_descriptor,
@@ -804,7 +890,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "TensorboardTimeSeriesId", "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(25);
+        getDescriptor().getMessageTypes().get(27);
     internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_GetTensorboardTimeSeriesRequest_descriptor,
@@ -812,7 +898,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(26);
+        getDescriptor().getMessageTypes().get(28);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesRequest_descriptor,
@@ -820,7 +906,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Parent", "Filter", "PageSize", "PageToken", "OrderBy", "ReadMask",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesResponse_descriptor =
-        getDescriptor().getMessageTypes().get(27);
+        getDescriptor().getMessageTypes().get(29);
     internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ListTensorboardTimeSeriesResponse_descriptor,
@@ -828,7 +914,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(28);
+        getDescriptor().getMessageTypes().get(30);
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardTimeSeriesRequest_descriptor,
@@ -836,7 +922,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateMask", "TensorboardTimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardTimeSeriesRequest_descriptor =
-        getDescriptor().getMessageTypes().get(29);
+        getDescriptor().getMessageTypes().get(31);
     internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardTimeSeriesRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_DeleteTensorboardTimeSeriesRequest_descriptor,
@@ -844,7 +930,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Name",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(30);
+        getDescriptor().getMessageTypes().get(32);
     internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataRequest_descriptor,
@@ -852,7 +938,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Tensorboard", "TimeSeries",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(31);
+        getDescriptor().getMessageTypes().get(33);
     internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchReadTensorboardTimeSeriesDataResponse_descriptor,
@@ -860,7 +946,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(32);
+        getDescriptor().getMessageTypes().get(34);
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataRequest_descriptor,
@@ -868,7 +954,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "MaxDataPoints", "Filter",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(33);
+        getDescriptor().getMessageTypes().get(35);
     internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ReadTensorboardTimeSeriesDataResponse_descriptor,
@@ -876,7 +962,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(34);
+        getDescriptor().getMessageTypes().get(36);
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataRequest_descriptor,
@@ -884,13 +970,13 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardExperiment", "WriteRunDataRequests",
             });
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(35);
+        getDescriptor().getMessageTypes().get(37);
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardExperimentDataResponse_descriptor,
             new java.lang.String[] {});
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(36);
+        getDescriptor().getMessageTypes().get(38);
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataRequest_descriptor,
@@ -898,13 +984,13 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardRun", "TimeSeriesData",
             });
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(37);
+        getDescriptor().getMessageTypes().get(39);
     internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_WriteTensorboardRunDataResponse_descriptor,
             new java.lang.String[] {});
     internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataRequest_descriptor =
-        getDescriptor().getMessageTypes().get(38);
+        getDescriptor().getMessageTypes().get(40);
     internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataRequest_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataRequest_descriptor,
@@ -912,7 +998,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TensorboardTimeSeries", "Filter", "PageSize", "PageToken", "OrderBy",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataResponse_descriptor =
-        getDescriptor().getMessageTypes().get(39);
+        getDescriptor().getMessageTypes().get(41);
     internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataResponse_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ExportTensorboardTimeSeriesDataResponse_descriptor,
@@ -920,7 +1006,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "TimeSeriesDataPoints", "NextPageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardOperationMetadata_descriptor =
-        getDescriptor().getMessageTypes().get(40);
+        getDescriptor().getMessageTypes().get(42);
     internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardOperationMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_CreateTensorboardOperationMetadata_descriptor,
@@ -928,7 +1014,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "GenericMetadata",
             });
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardOperationMetadata_descriptor =
-        getDescriptor().getMessageTypes().get(41);
+        getDescriptor().getMessageTypes().get(43);
     internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardOperationMetadata_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_UpdateTensorboardOperationMetadata_descriptor,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensor.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensor.java
index 0fc84da3d648..8296e25b42df 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensor.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensor.java
@@ -92,7 +92,8 @@ public com.google.protobuf.ByteString getValue() {
    *
    *
    * 
-   * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+   * Optional. Version number of TensorProto used to serialize
+   * [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
    * 

    *
    * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -518,7 +519,8 @@ public Builder clearValue() {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -533,7 +535,8 @@ public int getVersionNumber() {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
@@ -551,7 +554,8 @@ public Builder setVersionNumber(int value) {
      *
      *
      * 
-     * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+     * Optional. Version number of TensorProto used to serialize
+     * [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
      * 

      *
      * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensorOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensorOrBuilder.java
index 95ddfe83faaa..7c791a0733c0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensorOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTensorOrBuilder.java
@@ -41,7 +41,8 @@ public interface TensorboardTensorOrBuilder
    *
    *
    * 
-   * Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+   * Optional. Version number of TensorProto used to serialize
+   * [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
    * 

    *
    * int32 version_number = 2 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeries.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeries.java
index 6ce3d0007fd7..caf1b845c7ef 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeries.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeries.java
@@ -269,7 +269,8 @@ public interface MetadataOrBuilder
      *
      *
      * 
-     * Output only. Max step index of all data points within a TensorboardTimeSeries.
+     * Output only. Max step index of all data points within a
+     * TensorboardTimeSeries.
      * 

      *
      * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -326,8 +327,8 @@ public interface MetadataOrBuilder
      *
      *
      * 
-     * Output only. The largest blob sequence length (number of blobs) of all data points in
-     * this time series, if its ValueType is BLOB_SEQUENCE.
+     * Output only. The largest blob sequence length (number of blobs) of all
+     * data points in this time series, if its ValueType is BLOB_SEQUENCE.
      * 

      *
      * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -389,7 +390,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      *
      * 
-     * Output only. Max step index of all data points within a TensorboardTimeSeries.
+     * Output only. Max step index of all data points within a
+     * TensorboardTimeSeries.
      * 

      *
      * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -464,8 +466,8 @@ public com.google.protobuf.TimestampOrBuilder getMaxWallTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The largest blob sequence length (number of blobs) of all data points in
-     * this time series, if its ValueType is BLOB_SEQUENCE.
+     * Output only. The largest blob sequence length (number of blobs) of all
+     * data points in this time series, if its ValueType is BLOB_SEQUENCE.
      * 

      *
      * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -878,7 +880,8 @@ public Builder mergeFrom(
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -893,7 +896,8 @@ public long getMaxStep() {
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -911,7 +915,8 @@ public Builder setMaxStep(long value) {
        *
        *
        * 
-       * Output only. Max step index of all data points within a TensorboardTimeSeries.
+       * Output only. Max step index of all data points within a
+       * TensorboardTimeSeries.
        * 

        *
        * int64 max_step = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1142,8 +1147,8 @@ public com.google.protobuf.TimestampOrBuilder getMaxWallTimeOrBuilder() {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1159,8 +1164,8 @@ public long getMaxBlobSequenceLength() {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1179,8 +1184,8 @@ public Builder setMaxBlobSequenceLength(long value) {
        *
        *
        * 
-       * Output only. The largest blob sequence length (number of blobs) of all data points in
-       * this time series, if its ValueType is BLOB_SEQUENCE.
+       * Output only. The largest blob sequence length (number of blobs) of all
+       * data points in this time series, if its ValueType is BLOB_SEQUENCE.
        * 

        *
        * int64 max_blob_sequence_length = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1610,8 +1615,8 @@ public com.google.protobuf.ByteString getEtagBytes() {
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -1634,8 +1639,8 @@ public java.lang.String getPluginName() {
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -1679,7 +1684,8 @@ public com.google.protobuf.ByteString getPluginData() {
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -1696,7 +1702,8 @@ public boolean hasMetadata() {
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -1715,7 +1722,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata getMet
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -3247,8 +3255,8 @@ public Builder setEtagBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3270,8 +3278,8 @@ public java.lang.String getPluginName() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3293,8 +3301,8 @@ public com.google.protobuf.ByteString getPluginNameBytes() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3315,8 +3323,8 @@ public Builder setPluginName(java.lang.String value) {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3333,8 +3341,8 @@ public Builder clearPluginName() {
      *
      *
      * 
-     * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-     * Blob
+     * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+     * Tensor, Blob
      * 

      *
      * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -3418,7 +3426,8 @@ public Builder clearPluginData() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3434,7 +3443,8 @@ public boolean hasMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3457,7 +3467,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata getMet
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3482,7 +3493,8 @@ public Builder setMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3505,7 +3517,8 @@ public Builder setMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3535,7 +3548,8 @@ public Builder mergeMetadata(
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3557,7 +3571,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3574,7 +3589,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
@@ -3596,7 +3612,8 @@ public Builder clearMetadata() {
      *
      *
      * 
-     * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+     * Output only. Scalar, Tensor, or Blob metadata for this
+     * TensorboardTimeSeries.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeriesOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeriesOrBuilder.java
index c1340cafc1af..7164eef79b47 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeriesOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TensorboardTimeSeriesOrBuilder.java
@@ -238,8 +238,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -251,8 +251,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-   * Blob
+   * Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+   * Tensor, Blob
    * 

    *
    * string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];
@@ -278,7 +278,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -292,7 +293,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
@@ -306,7 +308,8 @@ public interface TensorboardTimeSeriesOrBuilder
    *
    *
    * 
-   * Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+   * Output only. Scalar, Tensor, or Blob metadata for this
+   * TensorboardTimeSeries.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesData.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesData.java
index 8d506ae2f6bb..b9d748390e69 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesData.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesData.java
@@ -75,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -99,8 +99,8 @@ public java.lang.String getTensorboardTimeSeriesId() {
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -126,8 +126,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -144,8 +144,8 @@ public int getValueTypeValue() {
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -677,8 +677,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -700,8 +700,8 @@ public java.lang.String getTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -723,8 +723,8 @@ public com.google.protobuf.ByteString getTensorboardTimeSeriesIdBytes() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -745,8 +745,8 @@ public Builder setTensorboardTimeSeriesId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -763,8 +763,8 @@ public Builder clearTensorboardTimeSeriesId() {
      *
      *
      * 
-     * Required. The ID of the TensorboardTimeSeries, which will become the final component
-     * of the TensorboardTimeSeries' resource name
+     * Required. The ID of the TensorboardTimeSeries, which will become the final
+     * component of the TensorboardTimeSeries' resource name
      * 

      *
      * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -788,8 +788,8 @@ public Builder setTensorboardTimeSeriesIdBytes(com.google.protobuf.ByteString va
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -806,8 +806,8 @@ public int getValueTypeValue() {
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -827,8 +827,8 @@ public Builder setValueTypeValue(int value) {
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -850,8 +850,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.ValueType getVa
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
@@ -875,8 +875,8 @@ public Builder setValueType(
      *
      *
      * 
-     * Required. Immutable. The value type of this time series. All the values in this time series data
-     * must match this value type.
+     * Required. Immutable. The value type of this time series. All the values in
+     * this time series data must match this value type.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesDataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesDataOrBuilder.java
index 0e31f7d48325..5c0d99fa8ee4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesDataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TimeSeriesDataOrBuilder.java
@@ -27,8 +27,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -40,8 +40,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. The ID of the TensorboardTimeSeries, which will become the final component
-   * of the TensorboardTimeSeries' resource name
+   * Required. The ID of the TensorboardTimeSeries, which will become the final
+   * component of the TensorboardTimeSeries' resource name
    * 

    *
    * string tensorboard_time_series_id = 1 [(.google.api.field_behavior) = REQUIRED];
@@ -54,8 +54,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
@@ -69,8 +69,8 @@ public interface TimeSeriesDataOrBuilder
    *
    *
    * 
-   * Required. Immutable. The value type of this time series. All the values in this time series data
-   * must match this value type.
+   * Required. Immutable. The value type of this time series. All the values in
+   * this time series data must match this value type.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
index b1ece0380e8d..e33e277ed784 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
@@ -25,8 +25,8 @@
  * The TrainingPipeline orchestrates tasks associated with training a Model. It
  * always executes the training task, and optionally may also
  * export data from Vertex AI's Dataset which becomes the training input,
- * [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
- * Model.
+ * [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model
+ * to Vertex AI, and evaluate the Model.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.TrainingPipeline}
@@ -192,11 +192,14 @@ public com.google.protobuf.ByteString getDisplayNameBytes() {
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -212,11 +215,14 @@ public boolean hasInputDataConfig() {
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -234,11 +240,14 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig getInputDataConfig()
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -255,10 +264,10 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig getInputDataConfig()
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -285,10 +294,10 @@ public java.lang.String getTrainingTaskDefinition() {
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -319,7 +328,8 @@ public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -337,7 +347,8 @@ public boolean hasTrainingTaskInputs() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -357,7 +368,8 @@ public com.google.protobuf.Value getTrainingTaskInputs() {
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -375,11 +387,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -396,11 +411,14 @@ public boolean hasTrainingTaskMetadata() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -419,11 +437,14 @@ public com.google.protobuf.Value getTrainingTaskMetadata() {
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -441,18 +462,21 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -469,18 +493,21 @@ public boolean hasModelToUpload() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -499,18 +526,21 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -583,8 +613,9 @@ public com.google.protobuf.ByteString getModelIdBytes() {
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -607,8 +638,9 @@ public java.lang.String getParentModel() {
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -674,8 +706,8 @@ public com.google.cloud.aiplatform.v1beta1.PipelineState getState() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -690,8 +722,8 @@ public boolean hasError() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -706,8 +738,8 @@ public com.google.rpc.Status getError() {
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -824,8 +856,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -842,8 +874,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -860,8 +892,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -1045,7 +1077,8 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -1063,7 +1096,8 @@ public boolean hasEncryptionSpec() {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -1083,7 +1117,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -1466,8 +1501,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * The TrainingPipeline orchestrates tasks associated with training a Model. It
    * always executes the training task, and optionally may also
    * export data from Vertex AI's Dataset which becomes the training input,
-   * [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
-   * Model.
+   * [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model
+   * to Vertex AI, and evaluate the Model.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.TrainingPipeline}
@@ -2161,11 +2196,14 @@ public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2180,11 +2218,14 @@ public boolean hasInputDataConfig() {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2205,11 +2246,14 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig getInputDataConfig()
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2232,11 +2276,14 @@ public Builder setInputDataConfig(com.google.cloud.aiplatform.v1beta1.InputDataC
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2257,11 +2304,14 @@ public Builder setInputDataConfig(
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2288,11 +2338,14 @@ public Builder mergeInputDataConfig(com.google.cloud.aiplatform.v1beta1.InputDat
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2313,11 +2366,14 @@ public Builder clearInputDataConfig() {
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2332,11 +2388,14 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig.Builder getInputDataC
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2356,11 +2415,14 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig.Builder getInputDataC
      *
      * 
      * Specifies Vertex AI owned input data that may be used for training the
-     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-     * clear whether this config is used and if there are any special requirements
-     * on how it should be filled. If nothing about this config is mentioned in
-     * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-     * TrainingPipeline does not depend on this configuration.
+     * Model. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this config is used and if there are any special
+     * requirements on how it should be filled. If nothing about this config is
+     * mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that the TrainingPipeline does not depend on this
+     * configuration.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -2387,10 +2449,10 @@ public com.google.cloud.aiplatform.v1beta1.InputDataConfig.Builder getInputDataC
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2416,10 +2478,10 @@ public java.lang.String getTrainingTaskDefinition() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2445,10 +2507,10 @@ public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2473,10 +2535,10 @@ public Builder setTrainingTaskDefinition(java.lang.String value) {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2497,10 +2559,10 @@ public Builder clearTrainingTaskDefinition() {
      *
      *
      * 
-     * Required. A Google Cloud Storage path to the YAML file that defines the training task
-     * which is responsible for producing the model artifact, and may also include
-     * additional auxiliary work.
-     * The definition files that can be used here are found in
+     * Required. A Google Cloud Storage path to the YAML file that defines the
+     * training task which is responsible for producing the model artifact, and
+     * may also include additional auxiliary work. The definition files that can
+     * be used here are found in
      * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
      * Note: The URI given on output will be immutable and probably different,
      * including the URI scheme, than the one given on input. The output URI will
@@ -2534,7 +2596,8 @@ public Builder setTrainingTaskDefinitionBytes(com.google.protobuf.ByteString val
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2551,7 +2614,8 @@ public boolean hasTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2574,7 +2638,8 @@ public com.google.protobuf.Value getTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2599,7 +2664,8 @@ public Builder setTrainingTaskInputs(com.google.protobuf.Value value) {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2621,7 +2687,8 @@ public Builder setTrainingTaskInputs(com.google.protobuf.Value.Builder builderFo
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2650,7 +2717,8 @@ public Builder mergeTrainingTaskInputs(com.google.protobuf.Value value) {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2673,7 +2741,8 @@ public Builder clearTrainingTaskInputs() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2690,7 +2759,8 @@ public com.google.protobuf.Value.Builder getTrainingTaskInputsBuilder() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2711,7 +2781,8 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
      *
      * 
      * Required. The training task's parameter(s), as specified in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * `inputs`.
      * 

      *
      * 
@@ -2745,11 +2816,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2765,11 +2839,14 @@ public boolean hasTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2791,11 +2868,14 @@ public com.google.protobuf.Value getTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2819,11 +2899,14 @@ public Builder setTrainingTaskMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2844,11 +2927,14 @@ public Builder setTrainingTaskMetadata(com.google.protobuf.Value.Builder builder
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2876,11 +2962,14 @@ public Builder mergeTrainingTaskMetadata(com.google.protobuf.Value value) {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2902,11 +2991,14 @@ public Builder clearTrainingTaskMetadata() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2922,11 +3014,14 @@ public com.google.protobuf.Value.Builder getTrainingTaskMetadataBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2946,11 +3041,14 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * 
-     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+     * Output only. The metadata information as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
      * `metadata`. This metadata is an auxiliary runtime and final information
      * about the training task. While the pipeline is running this information is
      * populated only at a best effort basis. Only present if the
-     * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * pipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * contains `metadata` object.
      * 

      *
      * 
@@ -2984,18 +3082,21 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3011,18 +3112,21 @@ public boolean hasModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3044,18 +3148,21 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3079,18 +3186,21 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1beta1.Model value)
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3112,18 +3222,21 @@ public Builder setModelToUpload(
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3151,18 +3264,21 @@ public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1beta1.Model valu
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3184,18 +3300,21 @@ public Builder clearModelToUpload() {
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3211,18 +3330,21 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder getModelToUploadBuilder
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3242,18 +3364,21 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelToUploadOrBuil
      *
      *
      * 
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-     * description should be populated, and if there are any special requirements
-     * regarding how it should be filled. If nothing is mentioned in the
-     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-     * should not be filled and the training task either uploads the Model without
-     * a need of this information, or that training task does not support
-     * uploading a Model as part of the pipeline.
-     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+     * should make clear whether this Model description should be populated, and
+     * if there are any special requirements regarding how it should be filled. If
+     * nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+     * then it should be assumed that this field should not be filled and the
+     * training task either uploads the Model without a need of this information,
+     * or that training task does not support uploading a Model as part of the
+     * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
      * the trained Model had been uploaded into Vertex AI, then the
-     * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+     * model_to_upload's resource
+     * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
      * is always uploaded into the Project and Location in which this pipeline
      * is.
      * 

@@ -3403,8 +3528,9 @@ public Builder setModelIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3426,8 +3552,9 @@ public java.lang.String getParentModel() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3449,8 +3576,9 @@ public com.google.protobuf.ByteString getParentModelBytes() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3471,8 +3599,9 @@ public Builder setParentModel(java.lang.String value) {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3489,8 +3618,9 @@ public Builder clearParentModel() {
      *
      *
      * 
-     * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-     * new model, instead, it will become a new version of this `parent_model`.
+     * Optional. When specify this field, the `model_to_upload` will not be
+     * uploaded as a new model, instead, it will become a new version of this
+     * `parent_model`.
      * 

      *
      * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -3620,8 +3750,8 @@ public Builder clearState() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3635,8 +3765,8 @@ public boolean hasError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3654,8 +3784,8 @@ public com.google.rpc.Status getError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3677,8 +3807,8 @@ public Builder setError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3697,8 +3827,8 @@ public Builder setError(com.google.rpc.Status.Builder builderForValue) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3721,8 +3851,8 @@ public Builder mergeError(com.google.rpc.Status value) {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3742,8 +3872,8 @@ public Builder clearError() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3757,8 +3887,8 @@ public com.google.rpc.Status.Builder getErrorBuilder() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -3774,8 +3904,8 @@ public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
      *
      *
      * 
-     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-     * `PIPELINE_STATE_CANCELLED`.
+     * Output only. Only populated when the pipeline's state is
+     * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
      * 

      *
      * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4211,8 +4341,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4228,8 +4358,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4249,8 +4379,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4274,8 +4404,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4296,8 +4426,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4323,8 +4453,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4346,8 +4476,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4363,8 +4493,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4382,8 +4512,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the TrainingPipeline entered any of the following states:
-     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * Output only. Time when the TrainingPipeline entered any of the following
+     * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
      * `PIPELINE_STATE_CANCELLED`.
      * 

      *
@@ -4807,7 +4937,8 @@ public Builder putAllLabels(java.util.Map va
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4824,7 +4955,8 @@ public boolean hasEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4847,7 +4979,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4872,7 +5005,8 @@ public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionS
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4895,7 +5029,8 @@ public Builder setEncryptionSpec(
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4924,7 +5059,8 @@ public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.Encryptio
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4947,7 +5083,8 @@ public Builder clearEncryptionSpec() {
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4964,7 +5101,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -4986,7 +5124,8 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      * Customer-managed encryption key spec for a TrainingPipeline. If set, this
      * TrainingPipeline will be secured by this key.
      * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+     * is not set separately.
      * 

      *
      * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
index d14141d968ca..112995df6d06 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
@@ -78,11 +78,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -95,11 +98,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -112,11 +118,14 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Specifies Vertex AI owned input data that may be used for training the
-   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-   * clear whether this config is used and if there are any special requirements
-   * on how it should be filled. If nothing about this config is mentioned in
-   * the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-   * TrainingPipeline does not depend on this configuration.
+   * Model. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this config is used and if there are any special
+   * requirements on how it should be filled. If nothing about this config is
+   * mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that the TrainingPipeline does not depend on this
+   * configuration.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;
@@ -127,10 +136,10 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -146,10 +155,10 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Required. A Google Cloud Storage path to the YAML file that defines the training task
-   * which is responsible for producing the model artifact, and may also include
-   * additional auxiliary work.
-   * The definition files that can be used here are found in
+   * Required. A Google Cloud Storage path to the YAML file that defines the
+   * training task which is responsible for producing the model artifact, and
+   * may also include additional auxiliary work. The definition files that can
+   * be used here are found in
    * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
    * Note: The URI given on output will be immutable and probably different,
    * including the URI scheme, than the one given on input. The output URI will
@@ -167,7 +176,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -182,7 +192,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -197,7 +208,8 @@ public interface TrainingPipelineOrBuilder
    *
    * 
    * Required. The training task's parameter(s), as specified in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * `inputs`.
    * 

    *
    * 
@@ -210,11 +222,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -228,11 +243,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -246,11 +264,14 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+   * Output only. The metadata information as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
    * `metadata`. This metadata is an auxiliary runtime and final information
    * about the training task. While the pipeline is running this information is
    * populated only at a best effort basis. Only present if the
-   * pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * pipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * contains `metadata` object.
    * 

    *
    * 
@@ -263,18 +284,21 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -288,18 +312,21 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -313,18 +340,21 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-   * description should be populated, and if there are any special requirements
-   * regarding how it should be filled. If nothing is mentioned in the
-   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-   * should not be filled and the training task either uploads the Model without
-   * a need of this information, or that training task does not support
-   * uploading a Model as part of the pipeline.
-   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+   * should make clear whether this Model description should be populated, and
+   * if there are any special requirements regarding how it should be filled. If
+   * nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+   * then it should be assumed that this field should not be filled and the
+   * training task either uploads the Model without a need of this information,
+   * or that training task does not support uploading a Model as part of the
+   * pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
    * the trained Model had been uploaded into Vertex AI, then the
-   * model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+   * model_to_upload's resource
+   * [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
    * is always uploaded into the Project and Location in which this pipeline
    * is.
    * 

@@ -368,8 +398,9 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -381,8 +412,9 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-   * new model, instead, it will become a new version of this `parent_model`.
+   * Optional. When specify this field, the `model_to_upload` will not be
+   * uploaded as a new model, instead, it will become a new version of this
+   * `parent_model`.
    * 

    *
    * string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];
@@ -424,8 +456,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -437,8 +469,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -450,8 +482,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-   * `PIPELINE_STATE_CANCELLED`.
+   * Output only. Only populated when the pipeline's state is
+   * `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
    * 

    *
    * .google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -541,8 +573,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -556,8 +588,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -571,8 +603,8 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * 
-   * Output only. Time when the TrainingPipeline entered any of the following states:
-   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * Output only. Time when the TrainingPipeline entered any of the following
+   * states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
    * `PIPELINE_STATE_CANCELLED`.
    * 

    *
@@ -705,7 +737,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -720,7 +753,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
@@ -735,7 +769,8 @@ java.lang.String getLabelsOrDefault(
    * Customer-managed encryption key spec for a TrainingPipeline. If set, this
    * TrainingPipeline will be secured by this key.
    * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+   * is not set separately.
    * 

    *
    * .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java
index a19b22abee8f..495bf788d50c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java
@@ -326,7 +326,8 @@ public interface ParameterOrBuilder
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -339,7 +340,8 @@ public interface ParameterOrBuilder
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -451,7 +453,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -475,7 +478,8 @@ public java.lang.String getParameterId() {
      *
      * 
      * Output only. The ID of the parameter. The parameter should be defined in
-     * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+     * [StudySpec's
+     * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
      * 

      *
      * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -928,7 +932,8 @@ public Builder mergeFrom(
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -951,7 +956,8 @@ public java.lang.String getParameterId() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -974,7 +980,8 @@ public com.google.protobuf.ByteString getParameterIdBytes() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -996,7 +1003,8 @@ public Builder setParameterId(java.lang.String value) {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1014,7 +1022,8 @@ public Builder clearParameterId() {
        *
        * 
        * Output only. The ID of the parameter. The parameter should be defined in
-       * [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+       * [StudySpec's
+       * Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
        * 

        *
        * string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1728,7 +1737,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1744,7 +1754,8 @@ public boolean hasEndTime() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1760,7 +1771,8 @@ public com.google.protobuf.Timestamp getEndTime() {
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -1777,9 +1789,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -1807,9 +1819,9 @@ public java.lang.String getClientId() {
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -1974,9 +1986,11 @@ public int getWebAccessUrisCount() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2008,9 +2022,11 @@ public java.util.Map getWebAccessUris() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2033,9 +2049,11 @@ public java.util.Map getWebAccessUrisMap() {
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -2063,9 +2081,11 @@ public java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -4360,7 +4380,8 @@ public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4375,7 +4396,8 @@ public boolean hasEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4394,7 +4416,8 @@ public com.google.protobuf.Timestamp getEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4417,7 +4440,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4437,7 +4461,8 @@ public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4462,7 +4487,8 @@ public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4483,7 +4509,8 @@ public Builder clearEndTime() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4498,7 +4525,8 @@ public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4515,7 +4543,8 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+     * `INFEASIBLE`.
      * 

      *
      * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -4543,9 +4572,9 @@ public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4572,9 +4601,9 @@ public java.lang.String getClientId() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4601,9 +4630,9 @@ public com.google.protobuf.ByteString getClientIdBytes() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4629,9 +4658,9 @@ public Builder setClientId(java.lang.String value) {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4653,9 +4682,9 @@ public Builder clearClientId() {
      *
      *
      * 
-     * Output only. The identifier of the client that originally requested this Trial.
-     * Each client is identified by a unique client_id. When a client
-     * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+     * Output only. The identifier of the client that originally requested this
+     * Trial. Each client is identified by a unique client_id. When a client asks
+     * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
      * should evaluate the Trial, complete it, and report back to Vertex AI
      * Vizier. If suggestion is asked again by same client_id before the Trial is
      * completed, the same Trial will be returned. Multiple clients with
@@ -4946,9 +4975,11 @@ public int getWebAccessUrisCount() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -4980,9 +5011,11 @@ public java.util.Map getWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5005,9 +5038,11 @@ public java.util.Map getWebAccessUrisMap() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5035,9 +5070,11 @@ public java.lang.String getWebAccessUrisOrDefault(
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5072,9 +5109,11 @@ public Builder clearWebAccessUris() {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5105,9 +5144,11 @@ public java.util.Map getMutableWebAccessUris
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
@@ -5137,9 +5178,11 @@ public Builder putWebAccessUris(java.lang.String key, java.lang.String value) {
      * Output only. URIs for accessing [interactive
      * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
      * (one URI for each training node). Only available if this trial is part of
-     * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-     * is `true`.
+     * a
+     * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+     * and the job's
+     * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+     * field is `true`.
      * The keys are names of each node used for the trial; for example,
      * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
      * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java
index fb1ec4cf976e..07db99695d0d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java
@@ -319,7 +319,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -332,7 +333,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -345,7 +347,8 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or
+   * `INFEASIBLE`.
    * 

    *
    * .google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
@@ -357,9 +360,9 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -376,9 +379,9 @@ public interface TrialOrBuilder
    *
    *
    * 
-   * Output only. The identifier of the client that originally requested this Trial.
-   * Each client is identified by a unique client_id. When a client
-   * asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+   * Output only. The identifier of the client that originally requested this
+   * Trial. Each client is identified by a unique client_id. When a client asks
+   * for a suggestion, Vertex AI Vizier will assign it a Trial. The client
    * should evaluate the Trial, complete it, and report back to Vertex AI
    * Vizier. If suggestion is asked again by same client_id before the Trial is
    * completed, the same Trial will be returned. Multiple clients with
@@ -457,9 +460,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -479,9 +484,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -504,9 +511,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -526,9 +535,11 @@ public interface TrialOrBuilder
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
@@ -553,9 +564,11 @@ java.lang.String getWebAccessUrisOrDefault(
    * Output only. URIs for accessing [interactive
    * shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
    * (one URI for each training node). Only available if this trial is part of
-   * a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-   * is `true`.
+   * a
+   * [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+   * and the job's
+   * [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+   * field is `true`.
    * The keys are names of each node used for the trial; for example,
    * `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
    * the second worker pool, and `workerpool1-1` for the second node in the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexOperationMetadata.java
index 08713754ac54..20224c816349 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+ * Runtime operation information for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+   * Runtime operation information for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequest.java
index fcac12e29c0b..f2b8fc37226b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+ * Request message for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -101,8 +102,8 @@ public java.lang.String getIndexEndpoint() {
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -131,7 +132,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -154,7 +156,8 @@ public java.lang.String getDeployedIndexId() {
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -347,7 +350,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+   * Request message for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexRequest}
@@ -532,8 +536,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -558,8 +562,8 @@ public java.lang.String getIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -584,8 +588,8 @@ public com.google.protobuf.ByteString getIndexEndpointBytes() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -609,8 +613,8 @@ public Builder setIndexEndpoint(java.lang.String value) {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -630,8 +634,8 @@ public Builder clearIndexEndpoint() {
      *
      *
      * 
-     * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-     * Format:
+     * Required. The name of the IndexEndpoint resource from which to undeploy an
+     * Index. Format:
      * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
      * 

      *
@@ -658,7 +662,8 @@ public Builder setIndexEndpointBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -680,7 +685,8 @@ public java.lang.String getDeployedIndexId() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -702,7 +708,8 @@ public com.google.protobuf.ByteString getDeployedIndexIdBytes() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -723,7 +730,8 @@ public Builder setDeployedIndexId(java.lang.String value) {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -740,7 +748,8 @@ public Builder clearDeployedIndexId() {
      *
      *
      * 
-     * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+     * Required. The ID of the DeployedIndex to be undeployed from the
+     * IndexEndpoint.
      * 

      *
      * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequestOrBuilder.java
index bedd0bcc8665..65f6778cd644 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -43,8 +43,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-   * Format:
+   * Required. The name of the IndexEndpoint resource from which to undeploy an
+   * Index. Format:
    * `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
    * 

    *
@@ -60,7 +60,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -72,7 +73,8 @@ public interface UndeployIndexRequestOrBuilder
    *
    *
    * 
-   * Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+   * Required. The ID of the DeployedIndex to be undeployed from the
+   * IndexEndpoint.
    * 

    *
    * string deployed_index_id = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexResponse.java
index d49edf30aa45..80b8e9208944 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployIndexResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+ * Response message for
+ * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+   * Response message for
+   * [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployIndexResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java
index b13ecf47aeac..10c66b4f4eb9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+ * Runtime operation information for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata}
@@ -285,7 +286,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+   * Runtime operation information for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequest.java
index ca437ae922d2..79c419d71170 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+ * Request message for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelRequest}
@@ -217,12 +218,12 @@ public int getTrafficSplitCount() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -245,12 +246,12 @@ public java.util.Map getTrafficSplit() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -264,12 +265,12 @@ public java.util.Map getTrafficSplitMap() {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -287,12 +288,12 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -499,7 +500,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+   * Request message for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelRequest}
@@ -982,12 +984,12 @@ public int getTrafficSplitCount() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1010,12 +1012,12 @@ public java.util.Map getTrafficSplit() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1029,12 +1031,12 @@ public java.util.Map getTrafficSplitMap() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1052,12 +1054,12 @@ public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1083,12 +1085,12 @@ public Builder clearTrafficSplit() {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1110,12 +1112,12 @@ public java.util.Map getMutableTrafficSplit
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
@@ -1133,12 +1135,12 @@ public Builder putTrafficSplit(java.lang.String key, int value) {
      *
      * 
      * If this field is provided, then the Endpoint's
-     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-     * last DeployedModel is being undeployed from the Endpoint, the
-     * [Endpoint.traffic_split] will always end up empty when this call returns.
-     * A DeployedModel will be successfully undeployed only if it doesn't have
-     * any traffic assigned to it when this method executes, or if this field
-     * unassigns any traffic to it.
+     * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+     * will be overwritten with it. If last DeployedModel is being undeployed from
+     * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+     * this call returns. A DeployedModel will be successfully undeployed only if
+     * it doesn't have any traffic assigned to it when this method executes, or if
+     * this field unassigns any traffic to it.
      * 

      *
      * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequestOrBuilder.java
index e95c536ff644..a070e2ea60d9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelRequestOrBuilder.java
@@ -86,12 +86,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -102,12 +102,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -121,12 +121,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -137,12 +137,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
@@ -153,12 +153,12 @@ public interface UndeployModelRequestOrBuilder
    *
    * 
    * If this field is provided, then the Endpoint's
-   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-   * last DeployedModel is being undeployed from the Endpoint, the
-   * [Endpoint.traffic_split] will always end up empty when this call returns.
-   * A DeployedModel will be successfully undeployed only if it doesn't have
-   * any traffic assigned to it when this method executes, or if this field
-   * unassigns any traffic to it.
+   * [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+   * will be overwritten with it. If last DeployedModel is being undeployed from
+   * the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+   * this call returns. A DeployedModel will be successfully undeployed only if
+   * it doesn't have any traffic assigned to it when this method executes, or if
+   * this field unassigns any traffic to it.
    * 

    *
    * map<string, int32> traffic_split = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelResponse.java
index c5b3fbbf316f..75184ab3e6e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+ * Response message for
+ * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+   * Response message for
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UndeployModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModel.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModel.java
index 5d272016b1b3..5a94c06ebc9b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModel.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModel.java
@@ -174,8 +174,8 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata getPredictSchemata()
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -192,8 +192,8 @@ public boolean hasContainerSpec() {
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -212,8 +212,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelContainerSpec getContainerSpec()
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -934,8 +934,8 @@ public com.google.cloud.aiplatform.v1beta1.PredictSchemata.Builder getPredictSch
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -951,8 +951,8 @@ public boolean hasContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -974,8 +974,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelContainerSpec getContainerSpec()
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -999,8 +999,8 @@ public Builder setContainerSpec(com.google.cloud.aiplatform.v1beta1.ModelContain
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1022,8 +1022,8 @@ public Builder setContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1052,8 +1052,8 @@ public Builder mergeContainerSpec(
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1075,8 +1075,8 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1093,8 +1093,8 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
@@ -1115,8 +1115,8 @@ public Builder clearContainerSpec() {
      *
      *
      * 
-     * Input only. The specification of the container that is to be used when deploying
-     * this Model.
+     * Input only. The specification of the container that is to be used when
+     * deploying this Model.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModelOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModelOrBuilder.java
index 62ba7696f44f..969ca6a32c70 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModelOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UnmanagedContainerModelOrBuilder.java
@@ -89,8 +89,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -104,8 +104,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
@@ -119,8 +119,8 @@ public interface UnmanagedContainerModelOrBuilder
    *
    *
    * 
-   * Input only. The specification of the container that is to be used when deploying
-   * this Model.
+   * Input only. The specification of the container that is to be used when
+   * deploying this Model.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequest.java
index ff5af6bf5ba8..43eef4f05721 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
+ * Request message for
+ * [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateArtifactRequest}
@@ -72,9 +73,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -93,9 +94,9 @@ public boolean hasArtifact() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -116,9 +117,9 @@ public com.google.cloud.aiplatform.v1beta1.Artifact getArtifact() {
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -189,8 +190,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-   * created.
+   * If set to true, and the
+   * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+   * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
    * 

    *
    * bool allow_missing = 3;
@@ -394,7 +396,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
+   * Request message for
+   * [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateArtifactRequest}
@@ -611,9 +614,9 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -631,9 +634,9 @@ public boolean hasArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -657,9 +660,9 @@ public com.google.cloud.aiplatform.v1beta1.Artifact getArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -685,9 +688,9 @@ public Builder setArtifact(com.google.cloud.aiplatform.v1beta1.Artifact value) {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -711,9 +714,9 @@ public Builder setArtifact(
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -743,9 +746,9 @@ public Builder mergeArtifact(com.google.cloud.aiplatform.v1beta1.Artifact value)
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -769,9 +772,9 @@ public Builder clearArtifact() {
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -789,9 +792,9 @@ public com.google.cloud.aiplatform.v1beta1.Artifact.Builder getArtifactBuilder()
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -813,9 +816,9 @@ public com.google.cloud.aiplatform.v1beta1.ArtifactOrBuilder getArtifactOrBuilde
      *
      * 
      * Required. The Artifact containing updates.
-     * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-     * be updated.
-     * Format:
+     * The Artifact's
+     * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+     * used to identify the Artifact to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
      * 

      *
@@ -1046,8 +1049,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-     * created.
+     * If set to true, and the
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1062,8 +1066,9 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-     * created.
+     * If set to true, and the
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1081,8 +1086,9 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-     * created.
+     * If set to true, and the
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+     * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
      * 

      *
      * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequestOrBuilder.java
index 4ebae4579492..21b3d2166409 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateArtifactRequestOrBuilder.java
@@ -28,9 +28,9 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -46,9 +46,9 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -64,9 +64,9 @@ public interface UpdateArtifactRequestOrBuilder
    *
    * 
    * Required. The Artifact containing updates.
-   * The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-   * be updated.
-   * Format:
+   * The Artifact's
+   * [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+   * used to identify the Artifact to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
    * 

    *
@@ -121,8 +121,9 @@ public interface UpdateArtifactRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-   * created.
+   * If set to true, and the
+   * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+   * [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
    * 

    *
    * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequest.java
index f1e53558196a..19b69d8058fa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
+ * Request message for
+ * [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateContextRequest}
@@ -72,9 +73,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -93,9 +93,8 @@ public boolean hasContext() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -116,9 +115,8 @@ public com.google.cloud.aiplatform.v1beta1.Context getContext() {
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -189,7 +187,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+   * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+   * is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
    * created.
    * 

    *
@@ -394,7 +393,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
+   * Request message for
+   * [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateContextRequest}
@@ -611,9 +611,8 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -631,9 +630,8 @@ public boolean hasContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -657,9 +655,8 @@ public com.google.cloud.aiplatform.v1beta1.Context getContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -685,9 +682,8 @@ public Builder setContext(com.google.cloud.aiplatform.v1beta1.Context value) {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -710,9 +706,8 @@ public Builder setContext(com.google.cloud.aiplatform.v1beta1.Context.Builder bu
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -742,9 +737,8 @@ public Builder mergeContext(com.google.cloud.aiplatform.v1beta1.Context value) {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -768,9 +762,8 @@ public Builder clearContext() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -788,9 +781,8 @@ public com.google.cloud.aiplatform.v1beta1.Context.Builder getContextBuilder() {
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -812,9 +804,8 @@ public com.google.cloud.aiplatform.v1beta1.ContextOrBuilder getContextOrBuilder(
      *
      * 
      * Required. The Context containing updates.
-     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-     * updated.
-     * Format:
+     * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+     * field is used to identify the Context to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
      * 

      *
@@ -1045,7 +1036,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+     * is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
      * created.
      * 

      *
@@ -1061,7 +1053,8 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+     * is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
      * created.
      * 

      *
@@ -1080,7 +1073,8 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+     * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+     * is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
      * created.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequestOrBuilder.java
index 9574cea3146b..57c5486edca4 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateContextRequestOrBuilder.java
@@ -28,9 +28,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -46,9 +45,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -64,9 +62,8 @@ public interface UpdateContextRequestOrBuilder
    *
    * 
    * Required. The Context containing updates.
-   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-   * updated.
-   * Format:
+   * The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+   * field is used to identify the Context to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
    * 

    *
@@ -121,7 +118,8 @@ public interface UpdateContextRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+   * If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+   * is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
    * created.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
index 6a5031ac6a5e..2c05a9b9e314 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
+ * Request message for
+ * [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateDatasetRequest}
@@ -126,8 +127,8 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -147,8 +148,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -168,8 +169,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -366,7 +367,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
+   * Request message for
+   * [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateDatasetRequest}
@@ -774,8 +776,8 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -794,8 +796,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -820,8 +822,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -848,8 +850,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -873,8 +875,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -903,8 +905,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -929,8 +931,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -949,8 +951,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
@@ -973,8 +975,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-     * Updatable fields:
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
      *   * `display_name`
      *   * `description`
      *   * `labels`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
index 74260335da87..e4b9e5510014 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
@@ -69,8 +69,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -87,8 +87,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
@@ -105,8 +105,8 @@ public interface UpdateDatasetRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-   * Updatable fields:
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
    *   * `display_name`
    *   * `description`
    *   * `labels`
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
index b1a14f15ebe6..7edf721e57f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
+ * Request message for
+ * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateEndpointRequest}
@@ -125,7 +126,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -141,7 +143,8 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -157,7 +160,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -351,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
+   * Request message for
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateEndpointRequest}
@@ -759,7 +764,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -774,7 +780,8 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -795,7 +802,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -818,7 +826,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -838,7 +847,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -863,7 +873,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -884,7 +895,8 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -899,7 +911,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -918,7 +931,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
index 080775689bc4..3056a468f98f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
@@ -68,7 +68,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,7 +82,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,7 +96,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequest.java
index 6ef7b74d2a57..9a04b9af1583 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
+ * Request message for
+ * [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest}
@@ -71,9 +72,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -91,9 +91,8 @@ public boolean hasEntityType() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -113,9 +112,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityType getEntityType() {
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -151,7 +149,7 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypeOrBu
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -183,7 +181,7 @@ public boolean hasUpdateMask() {
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -215,7 +213,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -408,7 +406,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
+   * Request message for
+   * [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest}
@@ -612,9 +611,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -631,9 +629,8 @@ public boolean hasEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -656,9 +653,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityType getEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -683,9 +679,8 @@ public Builder setEntityType(com.google.cloud.aiplatform.v1beta1.EntityType valu
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -708,9 +703,8 @@ public Builder setEntityType(
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -739,9 +733,8 @@ public Builder mergeEntityType(com.google.cloud.aiplatform.v1beta1.EntityType va
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -764,9 +757,8 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -783,9 +775,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityType.Builder getEntityTypeBuild
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -806,9 +797,8 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypeOrBu
      *
      *
      * 
-     * Required. The EntityType's `name` field is used to identify the EntityType to be
-     * updated.
-     * Format:
+     * Required. The EntityType's `name` field is used to identify the EntityType
+     * to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
      * 

      *
@@ -860,7 +850,7 @@ public com.google.cloud.aiplatform.v1beta1.EntityTypeOrBuilder getEntityTypeOrBu
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -891,7 +881,7 @@ public boolean hasUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -928,7 +918,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -967,7 +957,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1003,7 +993,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1044,7 +1034,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1081,7 +1071,7 @@ public Builder clearUpdateMask() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1112,7 +1102,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1147,7 +1137,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
      *   * `monitoring_config.numerical_threshold_config.value`
      *   * `monitoring_config.categorical_threshold_config.value`
-     *   * `offline_storage_ttl_days`
+     *   * `offline_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequestOrBuilder.java
index 6d5f3ff8cbea..8565d45ec36b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -44,9 +43,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -61,9 +59,8 @@ public interface UpdateEntityTypeRequestOrBuilder
    *
    *
    * 
-   * Required. The EntityType's `name` field is used to identify the EntityType to be
-   * updated.
-   * Format:
+   * Required. The EntityType's `name` field is used to identify the EntityType
+   * to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
    * 

    *
@@ -94,7 +91,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -123,7 +120,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -152,7 +149,7 @@ public interface UpdateEntityTypeRequestOrBuilder
    *   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
    *   * `monitoring_config.numerical_threshold_config.value`
    *   * `monitoring_config.categorical_threshold_config.value`
-   *   * `offline_storage_ttl_days`
+   *   * `offline_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequest.java
index 96a9e258a6e5..8d0f7f002490 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
+ * Request message for
+ * [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateExecutionRequest}
@@ -72,9 +73,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -93,9 +94,9 @@ public boolean hasExecution() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -116,9 +117,9 @@ public com.google.cloud.aiplatform.v1beta1.Execution getExecution() {
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -189,8 +190,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-   * is created.
+   * If set to true, and the
+   * [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+   * [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
    * 

    *
    * bool allow_missing = 3;
@@ -394,7 +396,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
+   * Request message for
+   * [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateExecutionRequest}
@@ -611,9 +614,9 @@ public Builder mergeFrom(
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -631,9 +634,9 @@ public boolean hasExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -657,9 +660,9 @@ public com.google.cloud.aiplatform.v1beta1.Execution getExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -685,9 +688,9 @@ public Builder setExecution(com.google.cloud.aiplatform.v1beta1.Execution value)
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -711,9 +714,9 @@ public Builder setExecution(
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -743,9 +746,9 @@ public Builder mergeExecution(com.google.cloud.aiplatform.v1beta1.Execution valu
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -769,9 +772,9 @@ public Builder clearExecution() {
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -789,9 +792,9 @@ public com.google.cloud.aiplatform.v1beta1.Execution.Builder getExecutionBuilder
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -813,9 +816,9 @@ public com.google.cloud.aiplatform.v1beta1.ExecutionOrBuilder getExecutionOrBuil
      *
      * 
      * Required. The Execution containing updates.
-     * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-     * to be updated.
-     * Format:
+     * The Execution's
+     * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+     * used to identify the Execution to be updated. Format:
      * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
      * 

      *
@@ -1046,8 +1049,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-     * is created.
+     * If set to true, and the
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1062,8 +1066,9 @@ public boolean getAllowMissing() {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-     * is created.
+     * If set to true, and the
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
      * 

      *
      * bool allow_missing = 3;
@@ -1081,8 +1086,9 @@ public Builder setAllowMissing(boolean value) {
      *
      *
      * 
-     * If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-     * is created.
+     * If set to true, and the
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+     * [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
      * 

      *
      * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequestOrBuilder.java
index de100e39655c..23f2ace2c9e1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequestOrBuilder.java
@@ -28,9 +28,9 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -46,9 +46,9 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -64,9 +64,9 @@ public interface UpdateExecutionRequestOrBuilder
    *
    * 
    * Required. The Execution containing updates.
-   * The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-   * to be updated.
-   * Format:
+   * The Execution's
+   * [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+   * used to identify the Execution to be updated. Format:
    * `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
    * 

    *
@@ -121,8 +121,9 @@ public interface UpdateExecutionRequestOrBuilder
    *
    *
    * 
-   * If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-   * is created.
+   * If set to true, and the
+   * [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+   * [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
    * 

    *
    * bool allow_missing = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExplanationDatasetResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExplanationDatasetResponse.java
index 54ea4e3d77cf..d665d1892a60 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExplanationDatasetResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExplanationDatasetResponse.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.
+ * Response message of
+ * [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse}
@@ -222,7 +224,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.
+   * Response message of
+   * [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequest.java
index 87d9b182e9b2..7d121fcd2724 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
+ * Request message for
+ * [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateFeatureRequest}
@@ -387,7 +388,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
+   * Request message for
+   * [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateFeatureRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
index 7aada477fca7..0118e41e035b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
+ * Request message for
+ * [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest}
@@ -71,9 +72,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -91,9 +91,8 @@ public boolean hasFeaturestore() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -113,9 +112,8 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore getFeaturestore() {
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -145,7 +143,7 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -171,7 +169,7 @@ public boolean hasUpdateMask() {
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -197,7 +195,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -390,7 +388,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
+   * Request message for
+   * [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest}
@@ -596,9 +595,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -615,9 +613,8 @@ public boolean hasFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -640,9 +637,8 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore getFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -667,9 +663,8 @@ public Builder setFeaturestore(com.google.cloud.aiplatform.v1beta1.Featurestore
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -692,9 +687,8 @@ public Builder setFeaturestore(
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -723,9 +717,8 @@ public Builder mergeFeaturestore(com.google.cloud.aiplatform.v1beta1.Featurestor
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -748,9 +741,8 @@ public Builder clearFeaturestore() {
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -767,9 +759,8 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore.Builder getFeaturestoreB
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -790,9 +781,8 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
      *
      *
      * 
-     * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-     * updated.
-     * Format:
+     * Required. The Featurestore's `name` field is used to identify the
+     * Featurestore to be updated. Format:
      * `projects/{project}/locations/{location}/featurestores/{featurestore}`
      * 

      *
@@ -838,7 +828,7 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -863,7 +853,7 @@ public boolean hasUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -894,7 +884,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -927,7 +917,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -957,7 +947,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -992,7 +982,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1023,7 +1013,7 @@ public Builder clearUpdateMask() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1048,7 +1038,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -1077,7 +1067,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *   * `labels`
      *   * `online_serving_config.fixed_node_count`
      *   * `online_serving_config.scaling`
-     *   * `online_storage_ttl_days`
+     *   * `online_storage_ttl_days` (available in Preview)
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
index 9440f28c6453..74eee643edf7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
@@ -27,9 +27,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -44,9 +43,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -61,9 +59,8 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *
    *
    * 
-   * Required. The Featurestore's `name` field is used to identify the Featurestore to be
-   * updated.
-   * Format:
+   * Required. The Featurestore's `name` field is used to identify the
+   * Featurestore to be updated. Format:
    * `projects/{project}/locations/{location}/featurestores/{featurestore}`
    * 

    *
@@ -88,7 +85,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -111,7 +108,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -134,7 +131,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
    *   * `labels`
    *   * `online_serving_config.fixed_node_count`
    *   * `online_serving_config.scaling`
-   *   * `online_storage_ttl_days`
+   *   * `online_storage_ttl_days` (available in Preview)
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequest.java
index 6779791dcff5..79d0cf3f3b4e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
+ * Request message for
+ * [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest}
@@ -125,7 +126,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexEndpointOrBuilder getIndexEndpoi
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -141,7 +143,8 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -157,7 +160,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -351,7 +355,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
+   * Request message for
+   * [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest}
@@ -761,7 +766,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexEndpointOrBuilder getIndexEndpoi
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -776,7 +782,8 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -797,7 +804,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -820,7 +828,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -840,7 +849,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -865,7 +875,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -886,7 +897,8 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -901,7 +913,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -920,7 +933,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * Required. The update mask applies to the resource. See
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequestOrBuilder.java
index 948ba42342ac..5f1407e3d8a2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequestOrBuilder.java
@@ -68,7 +68,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -81,7 +82,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -94,7 +96,8 @@ public interface UpdateIndexEndpointRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * Required. The update mask applies to the resource. See
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadata.java
index 0468e334ab1d..c5bdc58fcbeb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadata.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+ * Runtime operation information for
+ * [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata}
@@ -359,7 +360,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+   * Runtime operation information for
+   * [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequest.java
index 3b9addf74347..163b816ceedc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+ * Request message for
+ * [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexRequest}
@@ -124,7 +125,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexOrBuilder getIndexOrBuilder() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -140,7 +142,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -156,7 +159,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -349,7 +353,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+   * Request message for
+   * [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateIndexRequest}
@@ -757,7 +762,8 @@ public com.google.cloud.aiplatform.v1beta1.IndexOrBuilder getIndexOrBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -772,7 +778,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -793,7 +800,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -816,7 +824,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -836,7 +845,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -861,7 +871,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -882,7 +893,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -897,7 +909,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
@@ -916,7 +929,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequestOrBuilder.java
index 65657dd4af96..a59bb1ca1dea 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequestOrBuilder.java
@@ -69,7 +69,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -82,7 +83,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
@@ -95,7 +97,8 @@ public interface UpdateIndexRequestOrBuilder
    *
    * 
    * The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequest.java
index 754c25aebd65..d119ea32bb1d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequest.java
@@ -76,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -94,8 +94,8 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -115,8 +115,8 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -135,14 +135,13 @@ public boolean hasModelDeploymentMonitoringJob() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -175,14 +174,13 @@ public boolean hasUpdateMask() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -215,14 +213,13 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -661,8 +658,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -678,8 +675,8 @@ public boolean hasModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -702,8 +699,8 @@ public boolean hasModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -728,8 +725,8 @@ public Builder setModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -751,8 +748,8 @@ public Builder setModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -782,8 +779,8 @@ public Builder mergeModelDeploymentMonitoringJob(
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -805,8 +802,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -823,8 +820,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -845,8 +842,8 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The model monitoring configuration which replaces the resource on the
-     * server.
+     * Required. The model monitoring configuration which replaces the resource on
+     * the server.
      * 

      *
      * 
@@ -880,14 +877,13 @@ public Builder clearModelDeploymentMonitoringJob() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -919,14 +915,13 @@ public boolean hasUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -964,14 +959,13 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1011,14 +1005,13 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1055,14 +1048,13 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1104,14 +1096,13 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1149,14 +1140,13 @@ public Builder clearUpdateMask() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1188,14 +1178,13 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -1231,14 +1220,13 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The update mask is used to specify the fields to be overwritten in the
-     * ModelDeploymentMonitoringJob resource by the update.
-     * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then only the non-empty fields present in the
-     * request will be overwritten. Set the update_mask to `*` to override all
-     * fields.
-     * For the objective config, the user can either provide the update mask for
+     * Required. The update mask is used to specify the fields to be overwritten
+     * in the ModelDeploymentMonitoringJob resource by the update. The fields
+     * specified in the update_mask are relative to the resource, not the full
+     * request. A field will be overwritten if it is in the mask. If the user does
+     * not provide a mask then only the non-empty fields present in the request
+     * will be overwritten. Set the update_mask to `*` to override all fields. For
+     * the objective config, the user can either provide the update mask for
      * model_deployment_monitoring_objective_configs or any combination of its
      * nested fields, such as:
      * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
index 52ed9c92cdb7..ae1fa5de25af 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java
@@ -27,8 +27,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -42,8 +42,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -58,8 +58,8 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The model monitoring configuration which replaces the resource on the
-   * server.
+   * Required. The model monitoring configuration which replaces the resource on
+   * the server.
    * 

    *
    * 
@@ -73,14 +73,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -110,14 +109,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -147,14 +145,13 @@ public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    *
    *
    * 
-   * Required. The update mask is used to specify the fields to be overwritten in the
-   * ModelDeploymentMonitoringJob resource by the update.
-   * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then only the non-empty fields present in the
-   * request will be overwritten. Set the update_mask to `*` to override all
-   * fields.
-   * For the objective config, the user can either provide the update mask for
+   * Required. The update mask is used to specify the fields to be overwritten
+   * in the ModelDeploymentMonitoringJob resource by the update. The fields
+   * specified in the update_mask are relative to the resource, not the full
+   * request. A field will be overwritten if it is in the mask. If the user does
+   * not provide a mask then only the non-empty fields present in the request
+   * will be overwritten. Set the update_mask to `*` to override all fields. For
+   * the objective config, the user can either provide the update mask for
    * model_deployment_monitoring_objective_configs or any combination of its
    * nested fields, such as:
    * model_deployment_monitoring_objective_configs.objective_config.training_dataset.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
index f4e74433abe7..893e1bf500c2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
+ * Request message for
+ * [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateModelRequest}
@@ -175,7 +176,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -192,7 +194,8 @@ public boolean hasUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -209,7 +212,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -403,7 +407,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
+   * Request message for
+   * [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateModelRequest}
@@ -964,7 +969,8 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -980,7 +986,8 @@ public boolean hasUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1002,7 +1009,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1026,7 +1034,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1047,7 +1056,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1073,7 +1083,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1095,7 +1106,8 @@ public Builder clearUpdateMask() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1111,7 +1123,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1131,7 +1144,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * 
      * Required. The update mask applies to the resource.
-     * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+     * For the `FieldMask` definition, see
+     * [google.protobuf.FieldMask][google.protobuf.FieldMask].
      * 

      *
      * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
index 2c77f92d6b66..4561136e2551 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
@@ -120,7 +120,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -134,7 +135,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -148,7 +150,8 @@ public interface UpdateModelRequestOrBuilder
    *
    * 
    * Required. The update mask applies to the resource.
-   * For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+   * For the `FieldMask` definition, see
+   * [google.protobuf.FieldMask][google.protobuf.FieldMask].
    * 

    *
    * .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadata.java
index 70b201e862e9..402ceba20b73 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadata.java
@@ -77,8 +77,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -104,8 +104,8 @@ public java.lang.String getSpecialistPool() {
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -560,8 +560,8 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -586,8 +586,8 @@ public java.lang.String getSpecialistPool() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -612,8 +612,8 @@ public com.google.protobuf.ByteString getSpecialistPoolBytes() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -637,8 +637,8 @@ public Builder setSpecialistPool(java.lang.String value) {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
@@ -658,8 +658,8 @@ public Builder clearSpecialistPool() {
      *
      *
      * 
-     * Output only. The name of the SpecialistPool to which the specialists are being added.
-     * Format:
+     * Output only. The name of the SpecialistPool to which the specialists are
+     * being added. Format:
      * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadataOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
index 94b93f802ece..8a617aecfd2a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
@@ -27,8 +27,8 @@ public interface UpdateSpecialistPoolOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
@@ -43,8 +43,8 @@ public interface UpdateSpecialistPoolOperationMetadataOrBuilder
    *
    *
    * 
-   * Output only. The name of the SpecialistPool to which the specialists are being added.
-   * Format:
+   * Output only. The name of the SpecialistPool to which the specialists are
+   * being added. Format:
    * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequest.java
index 94df7580ddab..de006d306e82 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
+ * Request message for
+ * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolRequest}
@@ -351,7 +352,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
+   * Request message for
+   * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequest.java
index afb98ce96cc1..233166f3cd9c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -96,8 +97,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -117,8 +118,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -376,7 +377,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest}
@@ -591,8 +593,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -611,8 +613,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -637,8 +639,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -665,8 +667,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -690,8 +692,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -720,8 +722,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -746,8 +748,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -766,8 +768,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -790,8 +792,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardExperiment resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequestOrBuilder.java
index bc2ef904e16d..d66083fc7a1f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardExperimentRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardExperiment resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequest.java
index b92bab9b8ce1..8997c61b61a0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
+ * Request message for
+ * [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -95,8 +96,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -116,8 +117,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -372,7 +373,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
+   * Request message for
+   * [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest}
@@ -581,8 +583,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -601,8 +603,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -627,8 +629,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -655,8 +657,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -680,8 +682,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -710,8 +712,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -736,8 +738,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -756,8 +758,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -780,8 +782,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * Tensorboard resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequestOrBuilder.java
index b031ce390f42..2bb4ca72d5b9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * Tensorboard resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequest.java
index 4af46e78f3d4..0552d064cc06 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest}
@@ -74,8 +75,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -95,8 +96,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -116,8 +117,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -135,8 +136,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -154,8 +155,8 @@ public boolean hasTensorboardRun() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -175,8 +176,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun getTensorboardRun() {
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -372,7 +373,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest}
@@ -582,8 +584,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -602,8 +604,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -628,8 +630,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -656,8 +658,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -681,8 +683,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -711,8 +713,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -737,8 +739,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -757,8 +759,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -781,8 +783,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardRun resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -816,8 +818,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -834,8 +836,8 @@ public boolean hasTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -858,8 +860,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun getTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -884,8 +886,8 @@ public Builder setTensorboardRun(com.google.cloud.aiplatform.v1beta1.Tensorboard
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -908,8 +910,8 @@ public Builder setTensorboardRun(
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -938,8 +940,8 @@ public Builder mergeTensorboardRun(com.google.cloud.aiplatform.v1beta1.Tensorboa
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -962,8 +964,8 @@ public Builder clearTensorboardRun() {
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -980,8 +982,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun.Builder getTensorboard
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
@@ -1003,8 +1005,8 @@ public com.google.cloud.aiplatform.v1beta1.TensorboardRun.Builder getTensorboard
      *
      *
      * 
-     * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-     * be updated. Format:
+     * Required. The TensorboardRun's `name` field is used to identify the
+     * TensorboardRun to be updated. Format:
      * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequestOrBuilder.java
index b2cb004c7dd0..947bea4effa1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardRun resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -80,8 +80,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -96,8 +96,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
@@ -112,8 +112,8 @@ public interface UpdateTensorboardRunRequestOrBuilder
    *
    *
    * 
-   * Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-   * be updated. Format:
+   * Required. The TensorboardRun's `name` field is used to identify the
+   * TensorboardRun to be updated. Format:
    * `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequest.java
index 9f382c06046c..eef9b6e6be28 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
+ * Request message for
+ * [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest}
@@ -75,8 +76,8 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -96,8 +97,8 @@ public boolean hasUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -117,8 +118,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -379,7 +380,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
+   * Request message for
+   * [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest}
@@ -594,8 +596,8 @@ public Builder mergeFrom(
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -614,8 +616,8 @@ public boolean hasUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -640,8 +642,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -668,8 +670,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -693,8 +695,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -723,8 +725,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -749,8 +751,8 @@ public Builder clearUpdateMask() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -769,8 +771,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
@@ -793,8 +795,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * Required. Field mask is used to specify the fields to be overwritten in the
      * TensorboardTimeSeries resource by the update.
      * The fields specified in the update_mask are relative to the resource, not
-     * the full request. A field will be overwritten if it is in the mask. If the
-     * user does not provide a mask then all fields will be overwritten if new
+     * the full request. A field is overwritten if it's in the mask. If the
+     * user does not provide a mask then all fields are overwritten if new
      * values are specified.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
index 182295801735..928b8cba5c03 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequestOrBuilder.java
@@ -30,8 +30,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -48,8 +48,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
@@ -66,8 +66,8 @@ public interface UpdateTensorboardTimeSeriesRequestOrBuilder
    * Required. Field mask is used to specify the fields to be overwritten in the
    * TensorboardTimeSeries resource by the update.
    * The fields specified in the update_mask are relative to the resource, not
-   * the full request. A field will be overwritten if it is in the mask. If the
-   * user does not provide a mask then all fields will be overwritten if new
+   * the full request. A field is overwritten if it's in the mask. If the
+   * user does not provide a mask then all fields are overwritten if new
    * values are specified.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadata.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadata.java
index 7cae5d2189e9..7f6b2b224204 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadata.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadata.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+ * Details of
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata}
@@ -283,7 +285,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+   * Details of
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequest.java
index 542a9d8f63f2..6b227b7381f5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
+ * Request message for
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelRequest}
@@ -131,8 +132,8 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -155,8 +156,8 @@ public java.lang.String getParentModel() {
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -549,7 +550,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
+   * Request message for
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelRequest}
@@ -901,8 +903,8 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -924,8 +926,8 @@ public java.lang.String getParentModel() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -947,8 +949,8 @@ public com.google.protobuf.ByteString getParentModelBytes() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -969,8 +971,8 @@ public Builder setParentModel(java.lang.String value) {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -987,8 +989,8 @@ public Builder clearParentModel() {
      *
      *
      * 
-     * Optional. The resource name of the model into which to upload the version. Only
-     * specify this field when uploading a new version.
+     * Optional. The resource name of the model into which to upload the version.
+     * Only specify this field when uploading a new version.
      * 

      *
      * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequestOrBuilder.java
index 166bda515b37..572bc3a0b497 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequestOrBuilder.java
@@ -58,8 +58,8 @@ public interface UploadModelRequestOrBuilder
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
@@ -71,8 +71,8 @@ public interface UploadModelRequestOrBuilder
    *
    *
    * 
-   * Optional. The resource name of the model into which to upload the version. Only
-   * specify this field when uploading a new version.
+   * Optional. The resource name of the model into which to upload the version.
+   * Only specify this field when uploading a new version.
    * 

    *
    * string parent_model = 4 [(.google.api.field_behavior) = OPTIONAL];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponse.java
index 9ff56ba92295..4e93e91f9329 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponse.java
@@ -22,7 +22,9 @@
  *
  *
  * 
- * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+ * Response message of
+ * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+ * operation.
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelResponse}
@@ -341,7 +343,9 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+   * Response message of
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+   * operation.
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UploadModelResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsRequest.java
index d00a1235b647..47302a0e23fb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+ * Request message for
+ * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpsertDatapointsRequest}
@@ -370,7 +371,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+   * Request message for
+   * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpsertDatapointsRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsResponse.java
index 00748e61e9cd..9b3ed12edadc 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpsertDatapointsResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+ * Response message for
+ * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpsertDatapointsResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+   * Response message for
+   * [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.UpsertDatapointsResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayload.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayload.java
index d77af0b86d67..d0fc04c1b9a8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayload.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayload.java
@@ -165,9 +165,9 @@ public int getFeatureValuesCount() {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -193,9 +193,9 @@ public boolean containsFeatureValues(java.lang.String key) {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -212,9 +212,9 @@ public boolean containsFeatureValues(java.lang.String key) {
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -236,9 +236,9 @@ public com.google.cloud.aiplatform.v1beta1.FeatureValue getFeatureValuesOrDefaul
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -794,9 +794,9 @@ public int getFeatureValuesCount() {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -822,9 +822,9 @@ public boolean containsFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -841,9 +841,9 @@ public boolean containsFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -865,9 +865,9 @@ public com.google.cloud.aiplatform.v1beta1.FeatureValue getFeatureValuesOrDefaul
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -897,9 +897,9 @@ public Builder clearFeatureValues() {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -924,9 +924,9 @@ public Builder removeFeatureValues(java.lang.String key) {
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
@@ -950,9 +950,9 @@ public Builder putFeatureValues(
      *
      *
      * 
-     * Required. Feature values to be written, mapping from Feature ID to value. Up to
-     * 100,000 `feature_values` entries may be written across all payloads.  The
-     * feature generation time, aligned by days, must be no older than five
+     * Required. Feature values to be written, mapping from Feature ID to value.
+     * Up to 100,000 `feature_values` entries may be written across all payloads.
+     * The feature generation time, aligned by days, must be no older than five
      * years (1825 days) and no later than one year (366 days) in the future.
      * 

      *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayloadOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayloadOrBuilder.java
index 690d52ace368..8137de03a123 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayloadOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesPayloadOrBuilder.java
@@ -52,9 +52,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -67,9 +67,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -86,9 +86,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -102,9 +102,9 @@ public interface WriteFeatureValuesPayloadOrBuilder
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
@@ -122,9 +122,9 @@ com.google.cloud.aiplatform.v1beta1.FeatureValue getFeatureValuesOrDefault(
    *
    *
    * 
-   * Required. Feature values to be written, mapping from Feature ID to value. Up to
-   * 100,000 `feature_values` entries may be written across all payloads.  The
-   * feature generation time, aligned by days, must be no older than five
+   * Required. Feature values to be written, mapping from Feature ID to value.
+   * Up to 100,000 `feature_values` entries may be written across all payloads.
+   * The feature generation time, aligned by days, must be no older than five
    * years (1825 days) and no later than one year (366 days) in the future.
    * 

    *
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequest.java
index e21cb028d212..0c5162dff9bd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+ * Request message for
+ * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteFeatureValuesRequest}
@@ -74,8 +75,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -103,8 +105,9 @@ public java.lang.String getEntityType() {
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -135,8 +138,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -152,8 +155,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -170,8 +173,8 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -186,8 +189,8 @@ public int getPayloadsCount() {
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -202,8 +205,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload getPayloads
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -391,7 +394,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+   * Request message for
+   * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteFeatureValuesRequest}
@@ -625,8 +629,9 @@ public Builder mergeFrom(
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -653,8 +658,9 @@ public java.lang.String getEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -681,8 +687,9 @@ public com.google.protobuf.ByteString getEntityTypeBytes() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -708,8 +715,9 @@ public Builder setEntityType(java.lang.String value) {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -731,8 +739,9 @@ public Builder clearEntityType() {
      *
      *
      * 
-     * Required. The resource name of the EntityType for the entities being written.
-     * Value format: `projects/{project}/locations/{location}/featurestores/
+     * Required. The resource name of the EntityType for the entities being
+     * written. Value format:
+     * `projects/{project}/locations/{location}/featurestores/
      * {featurestore}/entityTypes/{entityType}`. For example,
      * for a machine learning model predicting user clicks on a website, an
      * EntityType ID could be `user`.
@@ -778,8 +787,8 @@ private void ensurePayloadsIsMutable() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -798,8 +807,8 @@ private void ensurePayloadsIsMutable() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -817,8 +826,8 @@ public int getPayloadsCount() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -836,8 +845,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload getPayloads
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -862,8 +871,8 @@ public Builder setPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -886,8 +895,8 @@ public Builder setPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -912,8 +921,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -938,8 +947,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -961,8 +970,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -985,8 +994,8 @@ public Builder addPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1009,8 +1018,8 @@ public Builder addAllPayloads(
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1031,8 +1040,8 @@ public Builder clearPayloads() {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1053,8 +1062,8 @@ public Builder removePayloads(int index) {
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1069,8 +1078,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder get
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1089,8 +1098,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder get
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1110,8 +1119,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder get
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1128,8 +1137,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder get
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
@@ -1147,8 +1156,8 @@ public com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder add
      *
      *
      * 
-     * Required. The entities to be written. Up to 100,000 feature values can be written
-     * across all `payloads`.
+     * Required. The entities to be written. Up to 100,000 feature values can be
+     * written across all `payloads`.
      * 

      *
      * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequestOrBuilder.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequestOrBuilder.java
index a7230a010b82..14eb4f0ab11e 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequestOrBuilder.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesRequestOrBuilder.java
@@ -27,8 +27,9 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -45,8 +46,9 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The resource name of the EntityType for the entities being written.
-   * Value format: `projects/{project}/locations/{location}/featurestores/
+   * Required. The resource name of the EntityType for the entities being
+   * written. Value format:
+   * `projects/{project}/locations/{location}/featurestores/
    * {featurestore}/entityTypes/{entityType}`. For example,
    * for a machine learning model predicting user clicks on a website, an
    * EntityType ID could be `user`.
@@ -64,8 +66,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -77,8 +79,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -90,8 +92,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -103,8 +105,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
@@ -117,8 +119,8 @@ public interface WriteFeatureValuesRequestOrBuilder
    *
    *
    * 
-   * Required. The entities to be written. Up to 100,000 feature values can be written
-   * across all `payloads`.
+   * Required. The entities to be written. Up to 100,000 feature values can be
+   * written across all `payloads`.
    * 

    *
    * 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesResponse.java
index 449919291741..24c9f07cc613 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteFeatureValuesResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+ * Response message for
+ * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteFeatureValuesResponse}
@@ -220,7 +221,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+   * Response message for
+   * [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteFeatureValuesResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataRequest.java
index 16352574e3a0..788700d6e3c0 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+ * Request message for
+ * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest}
@@ -390,7 +391,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+   * Request message for
+   * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataResponse.java
index cd9adcd689f7..bc9015421661 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardExperimentDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+ * Response message for
+ * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse}
@@ -230,7 +231,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+   * Response message for
+   * [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequest.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequest.java
index 87ad536da104..cb93bf9d929b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequest.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequest.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+ * Request message for
+ * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest}
@@ -403,7 +404,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+   * Request message for
+   * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponse.java b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponse.java
index c7cab2574529..799e2da1ff1b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponse.java
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponse.java
@@ -22,7 +22,8 @@
  *
  *
  * 
- * Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+ * Response message for
+ * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
  * 

  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse}
@@ -222,7 +223,8 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * 
-   * Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+   * Response message for
+   * [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
    * 

    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse}
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation.proto
index e57ab445a7d2..44858aa0ebd8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation.proto
@@ -41,8 +41,9 @@ message Annotation {
   // Output only. Resource name of the Annotation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
-  // schema is defined as an [OpenAPI 3.0.2 Schema
+  // Required. Google Cloud Storage URI points to a YAML file describing
+  // [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
+  // is defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
@@ -55,19 +56,23 @@ message Annotation {
   google.protobuf.Value payload = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Annotation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Annotation was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The source of the Annotation.
-  UserActionReference annotation_source = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  UserActionReference annotation_source = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your Annotations.
+  // Optional. The labels with user-defined metadata to organize your
+  // Annotations.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -84,7 +89,8 @@ message Annotation {
   //   If not set, the Annotation is not visible in the UI.
   //
   // * "aiplatform.googleapis.com/payload_schema":
-  //   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+  //   output only, its value is the
+  //   [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
   //   title.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation_spec.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation_spec.proto
index bb5738ebcc4d..a2c18690bc11 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation_spec.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation_spec.proto
@@ -44,12 +44,14 @@ message AnnotationSpec {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this AnnotationSpec was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when AnnotationSpec was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/artifact.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/artifact.proto
index daab79bb3c59..b0df629bcbab 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/artifact.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/artifact.proto
@@ -75,10 +75,12 @@ message Artifact {
   map labels = 10;
 
   // Output only. Timestamp when this Artifact was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Artifact was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The state of this Artifact. This is a property of the Artifact, and does
   // not imply or capture any ongoing process. This property is managed by
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
index 39b2af83183f..bf4f40b8f6d2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -40,19 +40,24 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
-// A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
-// on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-// predictions for significant portion of the instances fail, the job may finish
-// without attempting predictions for all remaining instances.
+// A job that uses a
+// [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce
+// predictions on multiple [input
+// instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+// If predictions for significant portion of the instances fail, the job may
+// finish without attempting predictions for all remaining instances.
 message BatchPredictionJob {
   option (google.api.resource) = {
     type: "aiplatform.googleapis.com/BatchPredictionJob"
     pattern: "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}"
   };
 
-  // Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-  // See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] for Model's supported input
-  // formats, and how instances should be expressed via any of them.
+  // Configures the input to
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  // See
+  // [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+  // for Model's supported input formats, and how instances should be expressed
+  // via any of them.
   message InputConfig {
     // Required. The source of the input.
     oneof source {
@@ -78,7 +83,8 @@ message BatchPredictionJob {
   message InstanceConfig {
     // The format of the instance that the Model accepts. Vertex AI will
     // convert compatible
-    // [batch prediction input instance formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
+    // [batch prediction input instance
+    // formats][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.instances_format]
     // to the specified format.
     //
     // Supported values are:
@@ -92,10 +98,13 @@ message BatchPredictionJob {
     // * `array`: Each input is converted to JSON array format.
     //     * For `bigquery`, each row is converted to an array. The order
     //       of columns is determined by the BigQuery column order, unless
-    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
-    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       is populated.
+    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       must be populated for specifying field orders.
     //     * For `jsonl`, if each line of the JSONL input is an object,
-    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be populated for specifying field orders.
+    //       [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+    //       must be populated for specifying field orders.
     //     * Does not apply to `csv`, `file-list`, `tf-record`, or
     //       `tf-record-gzip`.
     //
@@ -104,7 +113,8 @@ message BatchPredictionJob {
     //
     //  * For `bigquery` and `csv`, the behavior is the same as `array`. The
     //    order of columns is the same as defined in the file or table, unless
-    //    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] is populated.
+    //    [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+    //    is populated.
     //  * For `jsonl`, the prediction instance format is determined by
     //    each line of the input.
     //  * For `tf-record`/`tf-record-gzip`, each record will be converted to
@@ -119,10 +129,11 @@ message BatchPredictionJob {
     //
     // The values identified by the key field is not included in the transformed
     // instances that is sent to the Model. This is similar to
-    // specifying this name of the field in [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]. In addition,
-    // the batch prediction output will not include the instances. Instead the
-    // output will only include the value of the key field, in a field named
-    // `key` in the output:
+    // specifying this name of the field in
+    // [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields].
+    // In addition, the batch prediction output will not include the instances.
+    // Instead the output will only include the value of the key field, in a
+    // field named `key` in the output:
     //
     //  * For `jsonl` output format, the output will have a `key` field
     //    instead of the `instance` field.
@@ -136,10 +147,14 @@ message BatchPredictionJob {
     // Fields that will be included in the prediction instance that is
     // sent to the Model.
     //
-    // If [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type] is `array`, the order of field names in
-    // included_fields also determines the order of the values in the array.
+    // If
+    // [instance_type][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.instance_type]
+    // is `array`, the order of field names in included_fields also determines
+    // the order of the values in the array.
     //
-    // When included_fields is populated, [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields] must be empty.
+    // When included_fields is populated,
+    // [excluded_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.excluded_fields]
+    // must be empty.
     //
     // The input must be JSONL with objects at each line, CSV, BigQuery
     // or TfRecord.
@@ -148,19 +163,25 @@ message BatchPredictionJob {
     // Fields that will be excluded in the prediction instance that is
     // sent to the Model.
     //
-    // Excluded will be attached to the batch prediction output if [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
+    // Excluded will be attached to the batch prediction output if
+    // [key_field][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.key_field]
     // is not specified.
     //
-    // When excluded_fields is populated, [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields] must be empty.
+    // When excluded_fields is populated,
+    // [included_fields][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.included_fields]
+    // must be empty.
     //
     // The input must be JSONL with objects at each line, CSV, BigQuery
     // or TfRecord.
     repeated string excluded_fields = 4;
   }
 
-  // Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-  // See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats] for supported output
-  // formats, and how predictions are expressed via any of them.
+  // Configures the output of
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  // See
+  // [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats]
+  // for supported output formats, and how predictions are expressed via any of
+  // them.
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
@@ -171,11 +192,13 @@ message BatchPredictionJob {
       // Inside of it files `predictions_0001.`,
       // `predictions_0002.`, ..., `predictions_N.`
       // are created where `` depends on chosen
-      // [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
-      // number of successfully predicted instances.
-      // If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then each such file contains predictions as per the
+      // [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format],
+      // and N may equal 0001 and depends on the total number of successfully
+      // predicted instances. If the Model has both
+      // [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then each such file contains predictions as per the
       // [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
       // If prediction for any instance failed (partially or completely), then
       // an additional `errors_0001.`, `errors_0002.`,...,
@@ -194,45 +217,52 @@ message BatchPredictionJob {
       // become underscores), and timestamp is in
       // YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
       // two tables will be created, `predictions`, and `errors`.
-      // If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-      // and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
-      // defined then the tables have columns as follows: The `predictions`
-      // table contains instances for which the prediction succeeded, it
-      // has columns as per a concatenation of the Model's instance and
-      // prediction schemata. The `errors` table contains rows for which the
-      // prediction has failed, it has instance columns, as per the
+      // If the Model has both
+      // [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+      // and
+      // [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri]
+      // schemata defined then the tables have columns as follows: The
+      // `predictions` table contains instances for which the prediction
+      // succeeded, it has columns as per a concatenation of the Model's
+      // instance and prediction schemata. The `errors` table contains rows for
+      // which the prediction has failed, it has instance columns, as per the
       // instance schema, followed by a single "errors" column, which as values
       // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
 
-    // Required. The format in which Vertex AI gives the predictions, must be one of the
+    // Required. The format in which Vertex AI gives the predictions, must be
+    // one of the
     // [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
     // [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
     string predictions_format = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Further describes this job's output.
-  // Supplements [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+  // Supplements
+  // [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Cloud Storage directory created, into which
-      // the prediction output is written.
-      string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+      // Output only. The full path of the Cloud Storage directory created, into
+      // which the prediction output is written.
+      string gcs_output_directory = 1
+          [(google.api.field_behavior) = OUTPUT_ONLY];
 
       // Output only. The path of the BigQuery dataset created, in
       // `bq://projectId.bqDatasetId`
       // format, into which the prediction output is written.
-      string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+      string bigquery_output_dataset = 2
+          [(google.api.field_behavior) = OUTPUT_ONLY];
     }
 
     // Output only. The name of the BigQuery table created, in
     // `predictions_`
     // format, into which the prediction output is written.
     // Can be used by UI to generate the BigQuery output path, for example.
-    string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    string bigquery_output_table = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Output only. Resource name of the BatchPredictionJob.
@@ -250,10 +280,11 @@ message BatchPredictionJob {
   // The model resource name may contain version id or version alias to specify
   // the version, if no version is specified, the default version will be used.
   string model = 3 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
-  // Output only. The version ID of the Model that produces the predictions via this job.
+  // Output only. The version ID of the Model that produces the predictions via
+  // this job.
   string model_version_id = 30 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Contains model information necessary to perform batch prediction without
@@ -261,9 +292,9 @@ message BatchPredictionJob {
   // Exactly one of model and unmanaged_container_model must be set.
   UnmanagedContainerModel unmanaged_container_model = 28;
 
-  // Required. Input configuration of the instances on which predictions are performed.
-  // The schema of any single instance may be specified via
-  // the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+  // Required. Input configuration of the instances on which predictions are
+  // performed. The schema of any single instance may be specified via the
+  // [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
   InputConfig input_config = 4 [(google.api.field_behavior) = REQUIRED];
@@ -273,7 +304,8 @@ message BatchPredictionJob {
   InstanceConfig instance_config = 27;
 
   // The parameters that govern the predictions. The schema of the parameters
-  // may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
+  // may be specified via the
+  // [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value model_parameters = 5;
@@ -289,7 +321,8 @@ message BatchPredictionJob {
   OutputConfig output_config = 6 [(google.api.field_behavior) = REQUIRED];
 
   // The config of resources used by the Model during the batch prediction. If
-  // the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
+  // the Model
+  // [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
   // DEDICATED_RESOURCES this config may be provided (and the job will use these
   // resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
   // must be provided.
@@ -304,35 +337,50 @@ message BatchPredictionJob {
   // permission on this service account.
   string service_account = 29;
 
-  // Immutable. Parameters configuring the batch behavior. Currently only applicable when
-  // [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
-  // the tuning itself).
-  ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. Parameters configuring the batch behavior. Currently only
+  // applicable when
+  // [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources]
+  // are used (in other cases Vertex AI does the tuning itself).
+  ManualBatchTuningParameters manual_batch_tuning_parameters = 8
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // Generate explanation with the batch prediction results.
   //
   // When set to `true`, the batch prediction output changes based on the
   // `predictions_format` field of the
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]
+  // object:
   //
   //  * `bigquery`: output includes a column named `explanation`. The value
-  //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+  //    is a struct that conforms to the
+  //    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
   //  * `jsonl`: The JSON objects on each line include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
-  //    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
+  //    conforms to the
+  //    [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
   //  * `csv`: Generating explanations for CSV format is not supported.
   //
-  // If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
+  // If this field is set to true, either the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+  // must be populated.
   bool generate_explanation = 23;
 
   // Explanation configuration for this BatchPredictionJob. Can be
-  // specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+  // specified only if
+  // [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+  // is set to `true`.
   //
-  // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-  // the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+  // This value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+  // are optional in the request. If a field of the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+  // object is not populated, the corresponding field of the
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+  // object is inherited.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -349,32 +397,39 @@ message BatchPredictionJob {
   // For example, single files that can't be read.
   // This field never exceeds 20 entries.
   // Status details fields contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Information about resources that had been consumed by this job.
-  // Provided in real time at best effort basis, as well as a final value
+  // Output only. Information about resources that had been consumed by this
+  // job. Provided in real time at best effort basis, as well as a final value
   // once the job completes.
   //
   // Note: This field currently may be not populated for batch predictions that
   // use AutoML Models.
-  ResourcesConsumed resources_consumed = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  ResourcesConsumed resources_consumed = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Statistics on completed and failed prediction instances.
-  CompletionStats completion_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  CompletionStats completion_stats = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was created.
-  google.protobuf.Timestamp create_time = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob for the first time entered
+  // the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the BatchPredictionJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the BatchPredictionJob entered any of the following
+  // states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 17
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the BatchPredictionJob was most recently updated.
-  google.protobuf.Timestamp update_time = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 18
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize BatchPredictionJobs.
   //
@@ -399,5 +454,6 @@ message BatchPredictionJob {
   repeated ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
 
   // Output only. The running status of the model monitoring pipeline.
-  google.rpc.Status model_monitoring_status = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.rpc.Status model_monitoring_status = 32
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/completion_stats.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/completion_stats.proto
index f784eda4eb2f..ee99522663f9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/completion_stats.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/completion_stats.proto
@@ -35,14 +35,16 @@ message CompletionStats {
   // Output only. The number of entities for which any error was encountered.
   int64 failed_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. In cases when enough errors are encountered a job, pipeline, or operation
-  // may be failed as a whole. Below is the number of entities for which the
-  // processing had not been finished (either in successful or failed state).
-  // Set to -1 if the number is unknown (for example, the operation failed
-  // before the total entity number could be collected).
+  // Output only. In cases when enough errors are encountered a job, pipeline,
+  // or operation may be failed as a whole. Below is the number of entities for
+  // which the processing had not been finished (either in successful or failed
+  // state). Set to -1 if the number is unknown (for example, the operation
+  // failed before the total entity number could be collected).
   int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of the successful forecast points that are generated by the
-  // forecasting model. This is ONLY used by the forecasting batch prediction.
-  int64 successful_forecast_point_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The number of the successful forecast points that are
+  // generated by the forecasting model. This is ONLY used by the forecasting
+  // batch prediction.
+  int64 successful_forecast_point_count = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/context.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/context.proto
index 9f4c90c6e791..3c6ae7750b67 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/context.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/context.proto
@@ -57,13 +57,15 @@ message Context {
   map labels = 9;
 
   // Output only. Timestamp when this Context was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Context was last updated.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of resource names of Contexts that are parents of this Context.
-  // A Context may have at most 10 parent_contexts.
+  // Output only. A list of resource names of Contexts that are parents of this
+  // Context. A Context may have at most 10 parent_contexts.
   repeated string parent_contexts = 12 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
index d6cd91f71870..f3bff6ad9e42 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
@@ -60,18 +60,22 @@ message CustomJob {
   JobState state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob for the first time entered the
   // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob entered any of the following states:
   // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the CustomJob was most recently updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is `JOB_STATE_FAILED` or
   // `JOB_STATE_CANCELLED`.
@@ -94,7 +98,8 @@ message CustomJob {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if
-  // [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] is `true`.
+  // [job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+  // is `true`.
   //
   // The keys are names of each node in the training job; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -102,15 +107,17 @@ message CustomJob {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map web_access_uris = 16
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents the spec of a CustomJob.
 message CustomJobSpec {
-  // Required. The spec of the worker pools including machine type and Docker image.
-  // All worker pools except the first one are optional and can be skipped by
-  // providing an empty value.
-  repeated WorkerPoolSpec worker_pool_specs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The spec of the worker pools including machine type and Docker
+  // image. All worker pools except the first one are optional and can be
+  // skipped by providing an empty value.
+  repeated WorkerPoolSpec worker_pool_specs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Scheduling options for a CustomJob.
   Scheduling scheduling = 3;
@@ -137,9 +144,7 @@ message CustomJobSpec {
   // If this field is left unspecified, the job is not peered with any network.
   string network = 5 [
     (google.api.field_behavior) = OPTIONAL,
-    (google.api.resource_reference) = {
-      type: "compute.googleapis.com/Network"
-    }
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
   ];
 
   // Optional. A list of names for the reserved ip ranges under the VPC network
@@ -150,14 +155,15 @@ message CustomJobSpec {
   // network.
   //
   // Example: ['vertex-ai-ip-range'].
-  repeated string reserved_ip_ranges = 13 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 13
+      [(google.api.field_behavior) = OPTIONAL];
 
   // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
   // the baseOutputDirectory of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-  // baseOutputDirectory.
+  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
+  // HyperparameterTuningJob's baseOutputDirectory.
   //
   // The following Vertex AI environment variables will be passed to
   // containers or python modules when this field is set:
@@ -175,9 +181,9 @@ message CustomJobSpec {
   //   * AIP_TENSORBOARD_LOG_DIR = `//logs/`
   GcsDestination base_output_directory = 6;
 
-  // Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
-  // will upload Tensorboard logs.
-  // Format:
+  // Optional. The name of a Vertex AI
+  // [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
+  // which this CustomJob will upload Tensorboard logs. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string tensorboard = 7 [
     (google.api.field_behavior) = OPTIONAL,
@@ -191,7 +197,11 @@ message CustomJobSpec {
   // to training containers.
   //
   // If set to `true`, you can access interactive shells at the URIs given
-  // by [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris] or [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris] (within
+  // by
+  // [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
+  // or
+  // [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
+  // (within
   // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
   bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
 }
@@ -225,8 +235,8 @@ message WorkerPoolSpec {
 
 // The spec of a Container.
 message ContainerSpec {
-  // Required. The URI of a container image in the Container Registry that is to be run on
-  // each worker replica.
+  // Required. The URI of a container image in the Container Registry that is to
+  // be run on each worker replica.
   string image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The command to be invoked when the container is started.
@@ -243,17 +253,17 @@ message ContainerSpec {
 
 // The spec of a Python packaged code.
 message PythonPackageSpec {
-  // Required. The URI of a container image in Artifact Registry that will run the
-  // provided Python package. Vertex AI provides a wide range of executor
+  // Required. The URI of a container image in Artifact Registry that will run
+  // the provided Python package. Vertex AI provides a wide range of executor
   // images with pre-installed packages to meet users' various use cases. See
   // the list of [pre-built containers for
   // training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
   // You must use an image from this list.
   string executor_image_uri = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the Python package files which are
-  // the training program and its dependent packages.
-  // The maximum number of package URIs is 100.
+  // Required. The Google Cloud Storage location of the Python package files
+  // which are the training program and its dependent packages. The maximum
+  // number of package URIs is 100.
   repeated string package_uris = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Python module name to run after installing the packages.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_item.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_item.proto
index 5c3e443bfdbd..b65ebdaf5c7c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_item.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_item.proto
@@ -41,10 +41,12 @@ message DataItem {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataItem was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your DataItems.
   //
@@ -59,12 +61,14 @@ message DataItem {
   // and are immutable.
   map labels = 3 [(google.api.field_behavior) = OPTIONAL];
 
-  // Required. The data that the DataItem represents (for example, an image or a text
-  // snippet). The schema of the payload is stored in the parent Dataset's
-  // [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+  // Required. The data that the DataItem represents (for example, an image or a
+  // text snippet). The schema of the payload is stored in the parent Dataset's
+  // [metadata
+  // schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+  // dataItemSchemaUri field.
   google.protobuf.Value payload = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
index 0e65f1993b2a..38cf99ffee1d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
@@ -50,9 +50,8 @@ message DataLabelingJob {
   // Display name of a DataLabelingJob.
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Dataset resource names. Right now we only support labeling from a single
-  // Dataset.
-  // Format:
+  // Required. Dataset resource names. Right now we only support labeling from a
+  // single Dataset. Format:
   // `projects/{project}/locations/{location}/datasets/{dataset}`
   repeated string datasets = 3 [
     (google.api.field_behavior) = REQUIRED,
@@ -74,14 +73,14 @@ message DataLabelingJob {
   // Required. Number of labelers to work on each DataItem.
   int32 labeler_count = 4 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The Google Cloud Storage location of the instruction pdf. This pdf is
-  // shared with labelers, and provides detailed description on how to label
-  // DataItems in Datasets.
+  // Required. The Google Cloud Storage location of the instruction pdf. This
+  // pdf is shared with labelers, and provides detailed description on how to
+  // label DataItems in Datasets.
   string instruction_uri = 5 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the
-  // config for a specific type of DataLabelingJob.
-  // The schema files that can be used here are found in the
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the config for a specific type of DataLabelingJob. The schema files that
+  // can be used here are found in the
   // https://storage.googleapis.com/google-cloud-aiplatform bucket in the
   // /schema/datalabelingjob/inputs/ folder.
   string inputs_schema_uri = 6 [(google.api.field_behavior) = REQUIRED];
@@ -92,22 +91,25 @@ message DataLabelingJob {
   // Output only. The detailed state of the job.
   JobState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Current labeling job progress percentage scaled in interval [0, 100],
-  // indicating the percentage of DataItems that has been finished.
+  // Output only. Current labeling job progress percentage scaled in interval
+  // [0, 100], indicating the percentage of DataItems that has been finished.
   int32 labeling_progress = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
-  // date.
-  google.type.Money current_spend = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has
+  // incurred to date.
+  google.type.Money current_spend = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was created.
-  google.protobuf.Timestamp create_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this DataLabelingJob was updated most recently.
-  google.protobuf.Timestamp update_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. DataLabelingJob errors. It is only populated when job's state is
-  // `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+  // Output only. DataLabelingJob errors. It is only populated when job's state
+  // is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
   google.rpc.Status error = 22 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your DataLabelingJobs.
@@ -121,7 +123,8 @@ message DataLabelingJob {
   // and are immutable. Following system labels exist for each DataLabelingJob:
   //
   // * "aiplatform.googleapis.com/schema": output only, its value is the
-  //   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
+  //   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s
+  //   title.
   map labels = 11;
 
   // The SpecialistPools' resource names associated with this job.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
index 04b3a67b7ea1..51ef2928a1b6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
@@ -20,6 +20,7 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
+import "google/cloud/aiplatform/v1beta1/saved_query.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 
@@ -49,21 +50,22 @@ message Dataset {
   // The description of the Dataset.
   string description = 16;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Dataset.
-  // The schema is defined as an OpenAPI 3.0.2 Schema Object.
-  // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Dataset. The schema is defined as an
+  // OpenAPI 3.0.2 Schema Object. The schema files that can be used here are
+  // found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   string metadata_schema_uri = 3 [(google.api.field_behavior) = REQUIRED];
 
   // Required. Additional information about the Dataset.
   google.protobuf.Value metadata = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this Dataset was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Dataset was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -82,15 +84,27 @@ message Dataset {
   // and are immutable. Following system labels exist for each Dataset:
   //
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
-  //   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
+  //   value is the
+  //   [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
+  //   title.
   map labels = 7;
 
+  // All SavedQueries belong to the Dataset will be returned in List/Get
+  // Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+  // will not be populated except for UI cases which will only use
+  // [annotation_spec_count][google.cloud.aiplatform.v1beta1.SavedQuery.annotation_spec_count].
+  // In CreateDataset request, a SavedQuery is created together if
+  // this field is set, up to one SavedQuery can be set in CreateDatasetRequest.
+  // The SavedQuery should not contain any AnnotationSpec.
+  repeated SavedQuery saved_queries = 9;
+
   // Customer-managed encryption key spec for a Dataset. If set, this Dataset
   // and all sub-resources of this Dataset will be secured by this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Dataset. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Dataset. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
@@ -114,21 +128,27 @@ message ImportDataConfig {
   // considered identical if their content bytes are identical (e.g. image bytes
   // or pdf bytes).
   // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map data_item_labels = 2;
 
   // Labels that will be applied to newly imported Annotations. If two
   // Annotations are identical, one of them will be deduped. Two Annotations are
-  // considered identical if their [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
-  // [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri] and all of their
+  // considered identical if their
+  // [payload][google.cloud.aiplatform.v1beta1.Annotation.payload],
+  // [payload_schema_uri][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
+  // and all of their
   // [labels][google.cloud.aiplatform.v1beta1.Annotation.labels] are the same.
   // These labels will be overridden by Annotation labels specified inside index
-  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  // file referenced by
+  // [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri],
+  // e.g. jsonl file.
   map annotation_labels = 3;
 
-  // Required. Points to a YAML file stored on Google Cloud Storage describing the import
-  // format. Validation will be done against the schema. The schema is defined
-  // as an [OpenAPI 3.0.2 Schema
+  // Required. Points to a YAML file stored on Google Cloud Storage describing
+  // the import format. Validation will be done against the schema. The schema
+  // is defined as an [OpenAPI 3.0.2 Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string import_schema_uri = 4 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
index a93ca39051e1..30097e817d9c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // resources.
 service DatasetService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Dataset.
-  rpc CreateDataset(CreateDatasetRequest) returns (google.longrunning.Operation) {
+  rpc CreateDataset(CreateDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/datasets"
       body: "dataset"
@@ -82,7 +84,8 @@ service DatasetService {
   }
 
   // Deletes a Dataset.
-  rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataset(DeleteDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/datasets/*}"
     };
@@ -128,14 +131,16 @@ service DatasetService {
   }
 
   // Searches DataItems in a Dataset.
-  rpc SearchDataItems(SearchDataItemsRequest) returns (SearchDataItemsResponse) {
+  rpc SearchDataItems(SearchDataItemsRequest)
+      returns (SearchDataItemsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{dataset=projects/*/locations/*/datasets/*}:searchDataItems"
     };
   }
 
   // Lists SavedQueries in a Dataset.
-  rpc ListSavedQueries(ListSavedQueriesRequest) returns (ListSavedQueriesResponse) {
+  rpc ListSavedQueries(ListSavedQueriesRequest)
+      returns (ListSavedQueriesResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
     };
@@ -151,7 +156,8 @@ service DatasetService {
   }
 
   // Lists Annotations belongs to a dataitem
-  rpc ListAnnotations(ListAnnotationsRequest) returns (ListAnnotationsResponse) {
+  rpc ListAnnotations(ListAnnotationsRequest)
+      returns (ListAnnotationsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/datasets/*/dataItems/*}/annotations"
     };
@@ -159,7 +165,8 @@ service DatasetService {
   }
 }
 
-// Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+// Request message for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
 message CreateDatasetRequest {
   // Required. The resource name of the Location to create the Dataset in.
   // Format: `projects/{project}/locations/{location}`
@@ -174,13 +181,15 @@ message CreateDatasetRequest {
   Dataset dataset = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
+// Runtime operation information for
+// [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].
 message CreateDatasetOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
+// Request message for
+// [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].
 message GetDatasetRequest {
   // Required. The name of the Dataset resource.
   string name = 1 [
@@ -194,22 +203,25 @@ message GetDatasetRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
+// Request message for
+// [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].
 message UpdateDatasetRequest {
   // Required. The Dataset which replaces the resource on the server.
   Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  // Updatable fields:
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
   //
   //   * `display_name`
   //   * `description`
   //   * `labels`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+// Request message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
 message ListDatasetsRequest {
   // Required. The name of the Dataset's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -255,7 +267,8 @@ message ListDatasetsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
+// Response message for
+// [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].
 message ListDatasetsResponse {
   // A list of Datasets that matches the specified filter in the request.
   repeated Dataset datasets = 1;
@@ -264,7 +277,8 @@ message ListDatasetsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
+// Request message for
+// [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].
 message DeleteDatasetRequest {
   // Required. The resource name of the Dataset to delete.
   // Format:
@@ -277,7 +291,8 @@ message DeleteDatasetRequest {
   ];
 }
 
-// Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+// Request message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
 message ImportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -289,23 +304,25 @@ message ImportDataRequest {
     }
   ];
 
-  // Required. The desired input locations. The contents of all input locations will be
-  // imported in one batch.
-  repeated ImportDataConfig import_configs = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The desired input locations. The contents of all input locations
+  // will be imported in one batch.
+  repeated ImportDataConfig import_configs = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
-message ImportDataResponse {
+// Response message for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+message ImportDataResponse {}
 
-}
-
-// Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
+// Runtime operation information for
+// [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].
 message ImportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+// Request message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
 message ExportDataRequest {
   // Required. The name of the Dataset resource.
   // Format:
@@ -321,13 +338,15 @@ message ExportDataRequest {
   ExportDataConfig export_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+// Response message for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
 message ExportDataResponse {
   // All of the files that are exported in this export operation.
   repeated string exported_files = 1;
 }
 
-// Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
+// Runtime operation information for
+// [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].
 message ExportDataOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
@@ -337,7 +356,8 @@ message ExportDataOperationMetadata {
   string gcs_output_directory = 2;
 }
 
-// Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+// Request message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
 message ListDataItemsRequest {
   // Required. The resource name of the Dataset to list DataItems from.
   // Format:
@@ -366,7 +386,8 @@ message ListDataItemsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
+// Response message for
+// [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
 message ListDataItemsResponse {
   // A list of DataItems that matches the specified filter in the request.
   repeated DataItem data_items = 1;
@@ -375,12 +396,13 @@ message ListDataItemsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+// Request message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
 message SearchDataItemsRequest {
   // Expression that allows ranking results based on annotation's property.
   message OrderByAnnotation {
-    // Required. Saved query of the Annotation. Only Annotations belong to this saved
-    // query will be considered for ordering.
+    // Required. Saved query of the Annotation. Only Annotations belong to this
+    // saved query will be considered for ordering.
     string saved_query = 1 [(google.api.field_behavior) = REQUIRED];
 
     // A comma-separated list of annotation fields to order by, sorted in
@@ -452,7 +474,8 @@ message SearchDataItemsRequest {
   // belong to.
   repeated string annotation_filters = 11;
 
-  // Mask specifying which fields of [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
+  // Mask specifying which fields of
+  // [DataItemView][google.cloud.aiplatform.v1beta1.DataItemView] to read.
   google.protobuf.FieldMask field_mask = 6;
 
   // If set, only up to this many of Annotations will be returned per
@@ -470,18 +493,23 @@ message SearchDataItemsRequest {
 
   // A token identifying a page of results for the server to return
   // Typically obtained via
-  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token] of the previous
-  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems] call.
+  // [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.next_page_token]
+  // of the previous
+  // [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems]
+  // call.
   string page_token = 10;
 }
 
-// Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
+// Response message for
+// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].
 message SearchDataItemsResponse {
   // The DataItemViews read.
   repeated DataItemView data_item_views = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token] to obtain that page.
+  // Pass to
+  // [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
@@ -504,7 +532,8 @@ message DataItemView {
   bool has_truncated_annotations = 3;
 }
 
-// Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+// Request message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
 message ListSavedQueriesRequest {
   // Required. The resource name of the Dataset to list SavedQueries from.
   // Format:
@@ -533,7 +562,8 @@ message ListSavedQueriesRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+// Response message for
+// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
 message ListSavedQueriesResponse {
   // A list of SavedQueries that match the specified filter in the request.
   repeated SavedQuery saved_queries = 1;
@@ -542,7 +572,8 @@ message ListSavedQueriesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
+// Request message for
+// [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
 message GetAnnotationSpecRequest {
   // Required. The name of the AnnotationSpec resource.
   // Format:
@@ -558,7 +589,8 @@ message GetAnnotationSpecRequest {
   google.protobuf.FieldMask read_mask = 2;
 }
 
-// Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+// Request message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
 message ListAnnotationsRequest {
   // Required. The resource name of the DataItem to list Annotations from.
   // Format:
@@ -587,7 +619,8 @@ message ListAnnotationsRequest {
   string order_by = 6;
 }
 
-// Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
+// Response message for
+// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
 message ListAnnotationsResponse {
   // A list of Annotations that matches the specified filter in the request.
   repeated Annotation annotations = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool.proto
index e273a15525c0..8f794120f86d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool.proto
@@ -42,9 +42,12 @@ message DeploymentResourcePool {
   // `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
-  DedicatedResources dedicated_resources = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The underlying DedicatedResources that the DeploymentResourcePool
+  // uses.
+  DedicatedResources dedicated_resources = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Timestamp when this DeploymentResourcePool was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool_service.proto
index 1c02d761dd97..752d8407aae7 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployment_resource_pool_service.proto
@@ -37,15 +37,18 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service that manages the DeploymentResourcePool resource.
 service DeploymentResourcePoolService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Create a DeploymentResourcePool.
-  rpc CreateDeploymentResourcePool(CreateDeploymentResourcePoolRequest) returns (google.longrunning.Operation) {
+  rpc CreateDeploymentResourcePool(CreateDeploymentResourcePoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/deploymentResourcePools"
       body: "*"
     };
-    option (google.api.method_signature) = "parent,deployment_resource_pool,deployment_resource_pool_id";
+    option (google.api.method_signature) =
+        "parent,deployment_resource_pool,deployment_resource_pool_id";
     option (google.longrunning.operation_info) = {
       response_type: "DeploymentResourcePool"
       metadata_type: "CreateDeploymentResourcePoolOperationMetadata"
@@ -53,7 +56,8 @@ service DeploymentResourcePoolService {
   }
 
   // Get a DeploymentResourcePool.
-  rpc GetDeploymentResourcePool(GetDeploymentResourcePoolRequest) returns (DeploymentResourcePool) {
+  rpc GetDeploymentResourcePool(GetDeploymentResourcePoolRequest)
+      returns (DeploymentResourcePool) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}"
     };
@@ -61,7 +65,8 @@ service DeploymentResourcePoolService {
   }
 
   // List DeploymentResourcePools in a location.
-  rpc ListDeploymentResourcePools(ListDeploymentResourcePoolsRequest) returns (ListDeploymentResourcePoolsResponse) {
+  rpc ListDeploymentResourcePools(ListDeploymentResourcePoolsRequest)
+      returns (ListDeploymentResourcePoolsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/deploymentResourcePools"
     };
@@ -69,7 +74,8 @@ service DeploymentResourcePoolService {
   }
 
   // Delete a DeploymentResourcePool.
-  rpc DeleteDeploymentResourcePool(DeleteDeploymentResourcePoolRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDeploymentResourcePool(DeleteDeploymentResourcePoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}"
     };
@@ -81,7 +87,8 @@ service DeploymentResourcePoolService {
   }
 
   // List DeployedModels that have been deployed on this DeploymentResourcePool.
-  rpc QueryDeployedModels(QueryDeployedModelsRequest) returns (QueryDeployedModelsResponse) {
+  rpc QueryDeployedModels(QueryDeployedModelsRequest)
+      returns (QueryDeployedModelsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{deployment_resource_pool=projects/*/locations/*/deploymentResourcePools/*}:queryDeployedModels"
     };
@@ -91,8 +98,8 @@ service DeploymentResourcePoolService {
 
 // Request message for CreateDeploymentResourcePool method.
 message CreateDeploymentResourcePoolRequest {
-  // Required. The parent location resource where this DeploymentResourcePool will be
-  // created. Format: `projects/{project}/locations/{location}`
+  // Required. The parent location resource where this DeploymentResourcePool
+  // will be created. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -101,7 +108,8 @@ message CreateDeploymentResourcePoolRequest {
   ];
 
   // Required. The DeploymentResourcePool to create.
-  DeploymentResourcePool deployment_resource_pool = 2 [(google.api.field_behavior) = REQUIRED];
+  DeploymentResourcePool deployment_resource_pool = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The ID to use for the DeploymentResourcePool, which
   // will become the final component of the DeploymentResourcePool's resource
@@ -109,7 +117,8 @@ message CreateDeploymentResourcePoolRequest {
   //
   // The maximum length is 63 characters, and valid characters
   // are `/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/`.
-  string deployment_resource_pool_id = 3 [(google.api.field_behavior) = REQUIRED];
+  string deployment_resource_pool_id = 3
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Runtime operation information for CreateDeploymentResourcePool method.
@@ -133,8 +142,8 @@ message GetDeploymentResourcePoolRequest {
 
 // Request message for ListDeploymentResourcePools method.
 message ListDeploymentResourcePoolsRequest {
-  // Required. The parent Location which owns this collection of DeploymentResourcePools.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The parent Location which owns this collection of
+  // DeploymentResourcePools. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
index 27e2bade03b3..738f8876b8d5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
@@ -29,8 +29,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // Represents a customer-managed encryption key spec that can be applied to
 // a top-level resource.
 message EncryptionSpec {
-  // Required. The Cloud KMS resource identifier of the customer managed encryption key
-  // used to protect a resource. Has the form:
+  // Required. The Cloud KMS resource identifier of the customer managed
+  // encryption key used to protect a resource. Has the form:
   // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
   // The key needs to be in the same region as where the compute resource is
   // created.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
index 4ff0ebb8170d..c8055754466f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
@@ -52,9 +52,13 @@ message Endpoint {
   string description = 3;
 
   // Output only. The models deployed in this Endpoint.
-  // To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
-  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
-  repeated DeployedModel deployed_models = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // To add or remove DeployedModels use
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
+  // and
+  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel]
+  // respectively.
+  repeated DeployedModel deployed_models = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // A map from a DeployedModel's ID to the percentage of this Endpoint's
   // traffic that should be forwarded to that DeployedModel.
@@ -80,10 +84,12 @@ message Endpoint {
   map labels = 7;
 
   // Output only. Timestamp when this Endpoint was created.
-  google.protobuf.Timestamp create_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Endpoint was last updated.
-  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 9
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for an Endpoint. If set, this
   // Endpoint and all sub-resources of this Endpoint will be secured by
@@ -97,7 +103,8 @@ message Endpoint {
   // Private services access must already be configured for the network. If left
   // unspecified, the Endpoint is not peered with any network.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
   // can be set.
   //
@@ -105,20 +112,21 @@ message Endpoint {
   // `projects/{project}/global/networks/{network}`.
   // Where `{project}` is a project number, as in `12345`, and `{network}` is
   // network name.
-  string network = 13 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 13 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
   // Deprecated: If true, expose the Endpoint via private service connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1beta1.Endpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.Endpoint.enable_private_service_connect],
   // can be set.
   bool enable_private_service_connect = 17 [deprecated = true];
 
-  // Output only. Resource name of the Model Monitoring job associated with this Endpoint
-  // if monitoring is enabled by [CreateModelDeploymentMonitoringJob][].
-  // Format:
+  // Output only. Resource name of the Model Monitoring job associated with this
+  // Endpoint if monitoring is enabled by
+  // [CreateModelDeploymentMonitoringJob][]. Format:
   // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
   string model_deployment_monitoring_job = 14 [
     (google.api.field_behavior) = OUTPUT_ONLY,
@@ -128,7 +136,8 @@ message Endpoint {
   ];
 
   // Configures the request-response logging for online prediction.
-  PredictRequestResponseLoggingConfig predict_request_response_logging_config = 18;
+  PredictRequestResponseLoggingConfig predict_request_response_logging_config =
+      18;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -151,18 +160,19 @@ message DeployedModel {
     // Format:
     // `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
     string shared_resources = 17 [(google.api.resource_reference) = {
-                                    type: "aiplatform.googleapis.com/DeploymentResourcePool"
-                                  }];
+      type: "aiplatform.googleapis.com/DeploymentResourcePool"
+    }];
   }
 
-  // Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI
-  // will generate a value for this ID.
+  // Immutable. The ID of the DeployedModel. If not provided upon deployment,
+  // Vertex AI will generate a value for this ID.
   //
   // This value should be 1-10 characters, and valid characters are /[0-9]/.
   string id = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Required. The resource name of the Model that this is the deployment of. Note that
-  // the Model may be in a different location than the DeployedModel's Endpoint.
+  // Required. The resource name of the Model that this is the deployment of.
+  // Note that the Model may be in a different location than the DeployedModel's
+  // Endpoint.
   //
   // The resource name may contain version id or version alias to specify the
   // version, if no version is specified, the default version will be deployed.
@@ -181,17 +191,26 @@ message DeployedModel {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedModel was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Explanation configuration for this DeployedModel.
   //
-  // When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
-  // overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
+  // When deploying a Model using
+  // [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel],
+  // this value overrides the value of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
+  // All fields of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // are optional in the request. If a field of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // is not populated, the value of the same field of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+  // is inherited. If the corresponding
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
+  // is not populated, all fields of the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // will be used for the explanation configuration.
   ExplanationSpec explanation_spec = 9;
 
   // The service account that the DeployedModel's container runs as. Specify the
@@ -217,10 +236,12 @@ message DeployedModel {
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 13;
 
-  // Output only. Provide paths for users to send predict/explain/health requests directly to
-  // the deployed model services running on Cloud via private services access.
-  // This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
-  PrivateEndpoints private_endpoints = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Provide paths for users to send predict/explain/health
+  // requests directly to the deployed model services running on Cloud via
+  // private services access. This field is populated if
+  // [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+  PrivateEndpoints private_endpoints = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // PrivateEndpoints proto is used to provide paths for users to send
@@ -238,8 +259,8 @@ message PrivateEndpoints {
   // Output only. Http(s) path to send health check requests.
   string health_http_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
index e30077dcdae5..8496b62ff598 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for managing Vertex AI's Endpoints.
 service EndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Endpoint.
-  rpc CreateEndpoint(CreateEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateEndpoint(CreateEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/endpoints"
       body: "endpoint"
@@ -78,7 +80,8 @@ service EndpointService {
   }
 
   // Deletes an Endpoint.
-  rpc DeleteEndpoint(DeleteEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEndpoint(DeleteEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/endpoints/*}"
     };
@@ -95,7 +98,8 @@ service EndpointService {
       post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:deployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "DeployModelResponse"
       metadata_type: "DeployModelOperationMetadata"
@@ -104,12 +108,14 @@ service EndpointService {
 
   // Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
   // freeing all resources it's using.
-  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
+  rpc UndeployModel(UndeployModelRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:undeployModel"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,deployed_model_id,traffic_split";
+    option (google.api.method_signature) =
+        "endpoint,deployed_model_id,traffic_split";
     option (google.longrunning.operation_info) = {
       response_type: "UndeployModelResponse"
       metadata_type: "UndeployModelOperationMetadata"
@@ -117,7 +123,8 @@ service EndpointService {
   }
 }
 
-// Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+// Request message for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
 message CreateEndpointRequest {
   // Required. The resource name of the Location to create the Endpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -142,13 +149,15 @@ message CreateEndpointRequest {
   string endpoint_id = 4 [(google.api.field_behavior) = IMMUTABLE];
 }
 
-// Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
+// Runtime operation information for
+// [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].
 message CreateEndpointOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
+// Request message for
+// [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]
 message GetEndpointRequest {
   // Required. The name of the Endpoint resource.
   // Format:
@@ -161,10 +170,11 @@ message GetEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+// Request message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
 message ListEndpointsRequest {
-  // Required. The resource name of the Location from which to list the Endpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // Endpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -172,11 +182,12 @@ message ListEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+  //     i.e. the last segment of the Endpoint's [resource
+  //     name][google.cloud.aiplatform.v1beta1.Endpoint.name].
   //   * `display_name` supports = and, !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -194,34 +205,44 @@ message ListEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
-  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
+  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token]
+  // of the previous
+  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
+// Response message for
+// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].
 message ListEndpointsResponse {
   // List of Endpoints in the requested page.
   repeated Endpoint endpoints = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
+// Request message for
+// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
 message UpdateEndpointRequest {
   // Required. The Endpoint which replaces the resource on the server.
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
+// Request message for
+// [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].
 message DeleteEndpointRequest {
   // Required. The name of the Endpoint resource to be deleted.
   // Format:
@@ -234,7 +255,8 @@ message DeleteEndpointRequest {
   ];
 }
 
-// Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+// Request message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
 message DeployModelRequest {
   // Required. The name of the Endpoint resource into which to deploy a Model.
   // Format:
@@ -247,8 +269,9 @@ message DeployModelRequest {
   ];
 
   // Required. The DeployedModel to be created within the Endpoint. Note that
-  // [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
-  // receiving traffic, either as part of this call, or via
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+  // must be updated for the DeployedModel to start receiving traffic, either as
+  // part of this call, or via
   // [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
   DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -256,29 +279,34 @@ message DeployModelRequest {
   // traffic that should be forwarded to that DeployedModel.
   //
   // If this field is non-empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
-  // To refer to the ID of the just being deployed Model, a "0" should be used,
-  // and the actual ID of the new DeployedModel will be filled in its place by
-  // this method. The traffic percentage values must add up to 100.
+  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+  // will be overwritten with it. To refer to the ID of the just being deployed
+  // Model, a "0" should be used, and the actual ID of the new DeployedModel
+  // will be filled in its place by this method. The traffic percentage values
+  // must add up to 100.
   //
   // If this field is empty, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
+  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is
+  // not updated.
   map traffic_split = 3;
 }
 
-// Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+// Response message for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
 message DeployModelResponse {
   // The DeployedModel that had been deployed in the Endpoint.
   DeployedModel deployed_model = 1;
 }
 
-// Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
+// Runtime operation information for
+// [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].
 message DeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+// Request message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
 message UndeployModelRequest {
   // Required. The name of the Endpoint resource from which to undeploy a Model.
   // Format:
@@ -294,21 +322,21 @@ message UndeployModelRequest {
   string deployed_model_id = 2 [(google.api.field_behavior) = REQUIRED];
 
   // If this field is provided, then the Endpoint's
-  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
-  // last DeployedModel is being undeployed from the Endpoint, the
-  // [Endpoint.traffic_split] will always end up empty when this call returns.
-  // A DeployedModel will be successfully undeployed only if it doesn't have
-  // any traffic assigned to it when this method executes, or if this field
-  // unassigns any traffic to it.
+  // [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split]
+  // will be overwritten with it. If last DeployedModel is being undeployed from
+  // the Endpoint, the [Endpoint.traffic_split] will always end up empty when
+  // this call returns. A DeployedModel will be successfully undeployed only if
+  // it doesn't have any traffic assigned to it when this method executes, or if
+  // this field unassigns any traffic to it.
   map traffic_split = 3;
 }
 
-// Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
-message UndeployModelResponse {
-
-}
+// Response message for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+message UndeployModelResponse {}
 
-// Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
+// Runtime operation information for
+// [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].
 message UndeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/entity_type.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/entity_type.proto
index 9bb2cdf09c30..e69d56a09807 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/entity_type.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/entity_type.proto
@@ -52,12 +52,15 @@ message EntityType {
   string description = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. The labels with user-defined metadata to organize your EntityTypes.
+  // Optional. The labels with user-defined metadata to organize your
+  // EntityTypes.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -70,19 +73,21 @@ message EntityType {
   // and are immutable.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform a consistent read-modify-write updates. If not
+  // set, a blind "overwrite" update happens.
   string etag = 7 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The default monitoring configuration for all Features with value type
-  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or INT64 under this
-  // EntityType.
+  // Optional. The default monitoring configuration for all Features with value
+  // type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // BOOL, STRING, DOUBLE or INT64 under this EntityType.
   //
   // If this is populated with
   // [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
   // analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
   // disabled.
-  FeaturestoreMonitoringConfig monitoring_config = 8 [(google.api.field_behavior) = OPTIONAL];
+  FeaturestoreMonitoringConfig monitoring_config = 8
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Config for data retention policy in offline storage.
   // TTL in days for feature values that will be stored in offline storage.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/event.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/event.proto
index 5cbb25c8cfe5..628aba7b6bda 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/event.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/event.proto
@@ -60,7 +60,8 @@ message Event {
   ];
 
   // Output only. Time the Event occurred.
-  google.protobuf.Timestamp event_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp event_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The type of the Event.
   Type type = 4 [(google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/execution.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/execution.proto
index 281b2a193541..7c477048abfa 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/execution.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/execution.proto
@@ -87,10 +87,12 @@ message Execution {
   map labels = 10;
 
   // Output only. Timestamp when this Execution was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Execution was last updated.
-  google.protobuf.Timestamp update_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The title of the schema describing the metadata.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
index 6dccd06e4e93..222e75daa22b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
@@ -29,8 +29,10 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
-// Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
-// produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
+// Explanation of a prediction (provided in
+// [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions])
+// produced by the Model on a given
+// [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
 message Explanation {
   // Output only. Feature attributions grouped by predicted outputs.
   //
@@ -38,15 +40,21 @@ message Explanation {
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
-  // by [instance_output_value][Attributions.instance_output_value] in
-  // descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
-  // the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
-  // order as they appear in the output_indices.
-  repeated Attribution attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // If users set
+  // [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k],
+  // the attributions are sorted by
+  // [instance_output_value][Attributions.instance_output_value] in descending
+  // order. If
+  // [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices]
+  // is specified, the attributions are stored by
+  // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+  // in the same order as they appear in the output_indices.
+  repeated Attribution attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. List of the nearest neighbors for example-based explanations.
   //
@@ -57,54 +65,66 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
-  // set of instances. The attributions are grouped by outputs.
+  // Output only. Aggregated attributions explaining the Model's prediction
+  // outputs over the set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
   // predict only one score, there is only one attibution that explains the
   // predicted output. For Models that predict multiple outputs, such as
   // multiclass Models that predict multiple classes, each element explains one
-  // specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
-  // output this attribution is explaining.
+  // specific item.
+  // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+  // can be used to identify which output this attribution is explaining.
   //
-  // The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
-  // [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
-  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
-  // averaged over the test data.
+  // The
+  // [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
+  // [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value]
+  // and
+  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+  // fields are averaged over the test data.
   //
   // NOTE: Currently AutoML tabular classification Models produce only one
   // attribution, which averages attributions over all the classes it predicts.
-  // [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
-  repeated Attribution mean_attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error]
+  // is not populated.
+  repeated Attribution mean_attributions = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Attribution that explains a particular prediction output.
 message Attribution {
-  // Output only. Model predicted output if the input instance is constructed from the
-  // baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+  // Output only. Model predicted output if the input instance is constructed
+  // from the baselines of all the features defined in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
   // The field name of the output is determined by the key in
   // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
   //
   // If the Model's predicted output has multiple dimensions (rank > 1), this is
-  // the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+  // the value in the output located by
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
   //
   // If there are multiple baselines, their output values are averaged.
   double baseline_output_value = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Model predicted output on the corresponding [explanation
   // instance][ExplainRequest.instances]. The field name of the output is
-  // determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
+  // determined by the key in
+  // [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
   //
   // If the Model predicted output has multiple dimensions, this is the value in
-  // the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+  // the output located by
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
   double instance_output_value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Attributions of each explained feature. Features are extracted from
-  // the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
-  // [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+  // Output only. Attributions of each explained feature. Features are extracted
+  // from the [prediction
+  // instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+  // according to [explanation metadata for
+  // inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
   //
   // The value is a struct, whose keys are the name of the feature. The values
-  // are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+  // are how much the feature in the
+  // [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
   // contributed to the predicted result.
   //
   // The format of the value is determined by the feature's input format:
@@ -121,11 +141,16 @@ message Attribution {
   //     struct. The formats of the values in the attribution struct are
   //     determined by the formats of the values in the feature struct.
   //
-  // The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
-  // pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
-  // [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
-  // describes the features and their attribution values (if it is populated).
-  google.protobuf.Value feature_attributions = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // The
+  // [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
+  // field, pointed to by the
+  // [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
+  // the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+  // object, points to the schema file that describes the features and their
+  // attribution values (if it is populated).
+  google.protobuf.Value feature_attributions = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The index that locates the explained prediction output.
   //
@@ -136,8 +161,9 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-  // the predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+  // For example, the predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -145,20 +171,26 @@ message Attribution {
   // output_index.
   string output_display_name = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
-  // explanation method. Lower value means more precise attributions.
+  // Output only. Error of
+  // [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+  // caused by approximation used in the explanation method. Lower value means
+  // more precise attributions.
   //
   // * For Sampled Shapley
   // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-  // increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-  // the error.
+  // increasing
+  // [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
+  // might reduce the error.
   // * For Integrated Gradients
   // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
-  // reduce the error.
-  // * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
   // increasing
-  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+  // [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
+  // might reduce the error.
+  // * For [XRAI
+  // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+  // increasing
+  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
+  // might reduce the error.
   //
   // See [this introduction](/vertex-ai/docs/explainable-ai/overview)
   // for more information.
@@ -224,13 +256,14 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
-  // must be an ndarray of integers, with the same shape of the output it's
-  // explaining.
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+  // contained in output_indices. It must be an ndarray of integers, with the
+  // same shape of the output it's explaining.
   //
-  // If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
-  // If neither top_k nor output_indices is populated, returns the argmax
-  // index of the outputs.
+  // If not populated, returns attributions for
+  // [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
+  // indices of outputs. If neither top_k nor output_indices is populated,
+  // returns the argmax index of the outputs.
   //
   // Only applicable to Models that predict multiple outputs (e,g, multi-class
   // Models that predict multiple classes).
@@ -241,8 +274,8 @@ message ExplanationParameters {
 // contribute to the label being predicted. A sampling strategy is used to
 // approximate the value rather than considering all subsets of features.
 message SampledShapleyAttribution {
-  // Required. The number of feature permutations to consider when approximating the
-  // Shapley values.
+  // Required. The number of feature permutations to consider when approximating
+  // the Shapley values.
   //
   // Valid range of its value is [1, 50], inclusively.
   int32 path_count = 1 [(google.api.field_behavior) = REQUIRED];
@@ -329,16 +362,18 @@ message SmoothGradConfig {
     // paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
     //
     // If the distribution is different per feature, set
-    // [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
-    // for each feature.
+    // [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma]
+    // instead for each feature.
     float noise_sigma = 1;
 
-    // This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
-    // provides additional flexibility. A separate noise sigma can be provided
-    // for each feature, which is useful if their distributions are different.
-    // No noise is added to features that are not set. If this field is unset,
-    // [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
-    // features.
+    // This is similar to
+    // [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma],
+    // but provides additional flexibility. A separate noise sigma can be
+    // provided for each feature, which is useful if their distributions are
+    // different. No noise is added to features that are not set. If this field
+    // is unset,
+    // [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+    // will be used for all features.
     FeatureNoiseSigma feature_noise_sigma = 2;
   }
 
@@ -357,13 +392,15 @@ message FeatureNoiseSigma {
   message NoiseSigmaForFeature {
     // The name of the input feature for which noise sigma is provided. The
     // features are defined in
-    // [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+    // [explanation metadata
+    // inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
     string name = 1;
 
     // This represents the standard deviation of the Gaussian kernel that will
     // be used to add noise to the feature prior to computing gradients. Similar
-    // to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
-    // noise added to the current feature. Defaults to 0.1.
+    // to
+    // [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma]
+    // but represents the noise added to the current feature. Defaults to 0.1.
     float sigma = 2;
   }
 
@@ -390,7 +427,8 @@ message BlurBaselineConfig {
 message Examples {
   oneof config {
     // The configuration for the generated index, the semantics are the same as
-    // [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should match NearestNeighborSearchConfig.
+    // [metadata][google.cloud.aiplatform.v1beta1.Index.metadata] and should
+    // match NearestNeighborSearchConfig.
     google.protobuf.Value nearest_neighbor_search_config = 2;
 
     // Preset config based on the desired query speed-precision trade-off
@@ -439,12 +477,13 @@ message Presets {
   Modality modality = 2;
 }
 
-// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec]
+// entries that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
 message ExplanationSpecOverride {
   // The parameters to be overridden. Note that the
-  // [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-  // no parameter is overridden.
+  // [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method]
+  // cannot be changed. If not specified, no parameter is overridden.
   ExplanationParameters parameters = 1;
 
   // The metadata to be overridden. If not specified, no metadata is overridden.
@@ -454,11 +493,14 @@ message ExplanationSpecOverride {
   ExamplesOverride examples_override = 3;
 }
 
-// The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+// The
+// [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata]
+// entries that can be overridden at [online
+// explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
 message ExplanationMetadataOverride {
-  // The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
-  // overridden.
+  // The [input
+  // metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+  // entries to be overridden.
   message InputMetadataOverride {
     // Baseline inputs for this feature.
     //
@@ -469,12 +511,14 @@ message ExplanationMetadataOverride {
     repeated google.protobuf.Value input_baselines = 1;
   }
 
-  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-  // The key is the name of the feature to be overridden. The keys specified
-  // here must exist in the input metadata to be overridden. If a feature is
-  // not specified here, the corresponding feature's input metadata is not
-  // overridden.
-  map inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. Overrides the [input
+  // metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of
+  // the features. The key is the name of the feature to be overridden. The keys
+  // specified here must exist in the input metadata to be overridden. If a
+  // feature is not specified here, the corresponding feature's input metadata
+  // is not overridden.
+  map inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Overrides for example-based explanations.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
index ef962a51933b..7089c4e01d1c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
@@ -31,8 +31,10 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 message ExplanationMetadata {
   // Metadata of the input of a feature.
   //
-  // Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only
-  // for Models that are using Vertex AI-provided images for Tensorflow.
+  // Fields other than
+  // [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines]
+  // are applicable only for Models that are using Vertex AI-provided images for
+  // Tensorflow.
   message InputMetadata {
     // Domain details of the input feature value. Provides numeric information
     // about the feature, such as its range (min, max). If the feature has been
@@ -63,7 +65,8 @@ message ExplanationMetadata {
     // Visualization configurations for image explanation.
     message Visualization {
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
       enum Type {
         // Should not be used.
         TYPE_UNSPECIFIED = 0;
@@ -141,7 +144,8 @@ message ExplanationMetadata {
       }
 
       // Type of the image visualization. Only applicable to
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
       // OUTLINES shows regions of attribution, while PIXELS shows per-pixel
       // attribution. Defaults to OUTLINES.
       Type type = 1;
@@ -153,12 +157,14 @@ message ExplanationMetadata {
       // The color scheme used for the highlighted areas.
       //
       // Defaults to PINK_GREEN for
-      // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+      // [Integrated Gradients
+      // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
       // which shows positive attributions in green and negative in pink.
       //
       // Defaults to VIRIDIS for
-      // [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
-      // highlights the most influential regions in yellow and the least
+      // [XRAI
+      // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+      // which highlights the most influential regions in yellow and the least
       // influential in blue.
       ColorMap color_map = 3;
 
@@ -188,8 +194,9 @@ message ExplanationMetadata {
       IDENTITY = 1;
 
       // The tensor represents a bag of features where each index maps to
-      // a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
-      // this encoding. For example:
+      // a feature.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [27, 6.0, 150]
       // index_feature_mapping = ["age", "height", "weight"]
@@ -198,8 +205,9 @@ message ExplanationMetadata {
 
       // The tensor represents a bag of features where each index maps to a
       // feature. Zero values in the tensor indicates feature being
-      // non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
-      // for this encoding. For example:
+      // non-existent.
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // must be provided for this encoding. For example:
       // ```
       // input = [2, 0, 5, 0, 1]
       // index_feature_mapping = ["a", "b", "c", "d", "e"]
@@ -207,7 +215,8 @@ message ExplanationMetadata {
       BAG_OF_FEATURES_SPARSE = 3;
 
       // The tensor is a list of binaries representing whether a feature exists
-      // or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
+      // or not (1 indicates existence).
+      // [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
       // must be provided for this encoding. For example:
       // ```
       // input = [1, 0, 1, 0, 1]
@@ -216,8 +225,9 @@ message ExplanationMetadata {
       INDICATOR = 4;
 
       // The tensor is encoded into a 1-dimensional array represented by an
-      // encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
-      // for this encoding. For example:
+      // encoded tensor.
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
@@ -226,9 +236,9 @@ message ExplanationMetadata {
 
       // Select this encoding when the input tensor is encoded into a
       // 2-dimensional array represented by an encoded tensor.
-      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
-      // encoding. The first dimension of the encoded tensor's shape is the same
-      // as the input tensor's shape. For example:
+      // [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
+      // must be provided for this encoding. The first dimension of the encoded
+      // tensor's shape is the same as the input tensor's shape. For example:
       // ```
       // input = ["This", "is", "a", "test", "."]
       // encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
@@ -244,7 +254,8 @@ message ExplanationMetadata {
     //
     // If no baseline is specified, Vertex AI chooses the baseline for this
     // feature. If multiple baselines are specified, Vertex AI returns the
-    // average attributions across them in [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+    // average attributions across them in
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
     //
     // For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
     // of each baseline must match the shape of the input tensor. If a scalar is
@@ -252,8 +263,9 @@ message ExplanationMetadata {
     //
     // For custom images, the element of the baselines must be in the same
     // format as the feature's input in the
-    // [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
-    // may be specified via Endpoint's DeployedModels'
+    // [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][].
+    // The schema of any single instance may be specified via Endpoint's
+    // DeployedModels'
     // [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
     // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
     // [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
@@ -287,15 +299,18 @@ message ExplanationMetadata {
     string dense_shape_tensor_name = 7;
 
     // A list of feature names for each index in the input tensor.
-    // Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
-    // BAG_OF_FEATURES_SPARSE, INDICATOR.
+    // Required when the input
+    // [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding]
+    // is BAG_OF_FEATURES, BAG_OF_FEATURES_SPARSE, INDICATOR.
     repeated string index_feature_mapping = 8;
 
     // Encoded tensor is a transformation of the input tensor. Must be provided
     // if choosing
-    // [Integrated Gradients attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
-    // or [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution] and the
-    // input tensor is not differentiable.
+    // [Integrated Gradients
+    // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution]
+    // or [XRAI
+    // attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
+    // and the input tensor is not differentiable.
     //
     // An encoded tensor is generated if the input tensor is encoded by a lookup
     // table.
@@ -315,17 +330,21 @@ message ExplanationMetadata {
     // name will be treated as one feature when computing attributions. Features
     // grouped together can have different shapes in value. If provided, there
     // will be one single attribution generated in
-    // [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions], keyed by the group name.
+    // [Attribution.feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions],
+    // keyed by the group name.
     string group_name = 12;
   }
 
   // Metadata of the prediction output to be explained.
   message OutputMetadata {
-    // Defines how to map [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] to
+    // Defines how to map
+    // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+    // to
     // [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name].
     //
     // If neither of the fields are specified,
-    // [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] will not be populated.
+    // [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+    // will not be populated.
     oneof display_name_mapping {
       // Static mapping between the index and display name.
       //
@@ -337,8 +356,10 @@ message ExplanationMetadata {
       //
       // The shape of the value must be an n-dimensional array of strings. The
       // number of dimensions must match that of the outputs to be explained.
-      // The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
-      // mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
+      // The
+      // [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name]
+      // is populated by locating in the mapping with
+      // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
       google.protobuf.Value index_display_name_mapping = 1;
 
       // Specify a field name in the prediction to look for the display name.
@@ -346,8 +367,9 @@ message ExplanationMetadata {
       // Use this if the prediction contains the display names for the outputs.
       //
       // The display names in the prediction must have the same shape of the
-      // outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
-      // a specific output.
+      // outputs, so that it can be located by
+      // [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
+      // for a specific output.
       string display_name_mapping_key = 2;
     }
 
@@ -356,21 +378,23 @@ message ExplanationMetadata {
     string output_tensor_name = 3;
   }
 
-  // Required. Map from feature names to feature input metadata. Keys are the name of the
-  // features. Values are the specification of the feature.
+  // Required. Map from feature names to feature input metadata. Keys are the
+  // name of the features. Values are the specification of the feature.
   //
   // An empty InputMetadata is valid. It describes a text feature which has the
-  // name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
-  // of the empty feature is chosen by Vertex AI.
+  // name specified as the key in
+  // [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
+  // The baseline of the empty feature is chosen by Vertex AI.
   //
   // For Vertex AI-provided Tensorflow images, the key can be any friendly
   // name of the feature. Once specified,
-  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
-  // this key (if not grouped with another feature).
+  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
+  // are keyed by this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
   // [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
-  map inputs = 1 [(google.api.field_behavior) = REQUIRED];
+  map inputs = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Map from output names to output metadata.
   //
@@ -381,10 +405,12 @@ message ExplanationMetadata {
   // to be explained.
   //
   // Currently only one key is allowed.
-  map outputs = 2 [(google.api.field_behavior) = REQUIRED];
+  map outputs = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // Points to a YAML file stored on Google Cloud Storage describing the format
-  // of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
+  // of the [feature
+  // attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML tabular Models always have this field populated by Vertex AI.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature.proto
index cf67cf3e9fd3..2d9b8883d7cb 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature.proto
@@ -42,7 +42,9 @@ message Feature {
   // A list of historical [Snapshot
   // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
   // Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-  // requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.
+  // requested by user, sorted by
+  // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+  // descending.
   message MonitoringStatsAnomaly {
     // If the objective in the request is both
     // Import Feature Analysis and Snapshot Analysis, this objective could be
@@ -63,7 +65,8 @@ message Feature {
     Objective objective = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The stats and anomalies generated at specific timestamp.
-    FeatureStatsAnomaly feature_stats_anomaly = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    FeatureStatsAnomaly feature_stats_anomaly = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a feature.
@@ -119,10 +122,12 @@ message Feature {
   ];
 
   // Output only. Timestamp when this EntityType was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this EntityType was most recently updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The labels with user-defined metadata to organize your Features.
   //
@@ -141,11 +146,11 @@ message Feature {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Optional. Deprecated: The custom monitoring configuration for this Feature, if not
-  // set, use the monitoring_config defined for the EntityType this Feature
-  // belongs to.
-  // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-  // INT64 can enable monitoring.
+  // Optional. Deprecated: The custom monitoring configuration for this Feature,
+  // if not set, use the monitoring_config defined for the EntityType this
+  // Feature belongs to. Only Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // BOOL, STRING, DOUBLE or INT64 can enable monitoring.
   //
   // If this is populated with
   // [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
@@ -153,15 +158,13 @@ message Feature {
   // [FeaturestoreMonitoringConfig.monitoring_interval][] specified, snapshot
   // analysis monitoring is enabled. Otherwise, snapshot analysis monitoring
   // config is same as the EntityType's this Feature belongs to.
-  FeaturestoreMonitoringConfig monitoring_config = 9 [
-    deprecated = true,
-    (google.api.field_behavior) = OPTIONAL
-  ];
+  FeaturestoreMonitoringConfig monitoring_config = 9
+      [deprecated = true, (google.api.field_behavior) = OPTIONAL];
 
-  // Optional. If not set, use the monitoring_config defined for the EntityType this
-  // Feature belongs to.
-  // Only Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL, STRING, DOUBLE or
-  // INT64 can enable monitoring.
+  // Optional. If not set, use the monitoring_config defined for the EntityType
+  // this Feature belongs to. Only Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // BOOL, STRING, DOUBLE or INT64 can enable monitoring.
   //
   // If set to true, all types of data monitoring are disabled despite the
   // config on EntityType.
@@ -169,10 +172,14 @@ message Feature {
 
   // Output only. A list of historical [Snapshot
   // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis]
-  // stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
+  // stats requested by user, sorted by
+  // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
   // descending.
-  repeated FeatureStatsAnomaly monitoring_stats = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated FeatureStatsAnomaly monitoring_stats = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The list of historical stats and anomalies with specified objectives.
-  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The list of historical stats and anomalies with specified
+  // objectives.
+  repeated MonitoringStatsAnomaly monitoring_stats_anomalies = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto
index 30ffbd951a16..749632305ded 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto
@@ -39,7 +39,8 @@ message FeatureStatsAnomaly {
   // Feature importance score, only populated when cross-feature monitoring is
   // enabled. For now only used to represent feature attribution score within
   // range [0, 1] for
-  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
+  // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
+  // and
   // [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
   double score = 1;
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
index 3a3026e774c3..3530ca6fbecf 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
@@ -45,8 +45,8 @@ message Featurestore {
     // max_node_count are set to the same value, the cluster will be configured
     // with the fixed number of node (no auto-scaling).
     message Scaling {
-      // Required. The minimum number of nodes to scale down to. Must be greater than or
-      // equal to 1.
+      // Required. The minimum number of nodes to scale down to. Must be greater
+      // than or equal to 1.
       int32 min_node_count = 1 [(google.api.field_behavior) = REQUIRED];
 
       // The maximum number of nodes to scale up to. Must be greater than
@@ -94,16 +94,19 @@ message Featurestore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Featurestore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
-  // "overwrite" update happens.
+  // Optional. Used to perform consistent read-modify-write updates. If not set,
+  // a blind "overwrite" update happens.
   string etag = 5 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. The labels with user-defined metadata to organize your Featurestore.
+  // Optional. The labels with user-defined metadata to organize your
+  // Featurestore.
   //
   // Label keys and values can be no longer than 64 characters
   // (Unicode codepoints), can only contain lowercase letters, numeric
@@ -116,25 +119,25 @@ message Featurestore {
   // and are immutable.
   map labels = 6 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Config for online storage resources. The field should not co-exist with the
-  // field of `OnlineStoreReplicationConfig`. If both of it and
-  // OnlineStoreReplicationConfig are unset, the feature store will not have an
-  // online store and cannot be used for online serving.
-  OnlineServingConfig online_serving_config = 7 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. Config for online storage resources. The field should not
+  // co-exist with the field of `OnlineStoreReplicationConfig`. If both of it
+  // and OnlineStoreReplicationConfig are unset, the feature store will not have
+  // an online store and cannot be used for online serving.
+  OnlineServingConfig online_serving_config = 7
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. State of the featurestore.
   State state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. TTL in days for feature values that will be stored in online serving
-  // storage. The Feature Store online storage periodically removes obsolete
-  // feature values older than `online_storage_ttl_days` since the feature
-  // generation time.
-  // Note that `online_storage_ttl_days` should be less than or equal to
-  // `offline_storage_ttl_days` for each EntityType under a featurestore.
-  // If not set, default to 4000 days
+  // Optional. TTL in days for feature values that will be stored in online
+  // serving storage. The Feature Store online storage periodically removes
+  // obsolete feature values older than `online_storage_ttl_days` since the
+  // feature generation time. Note that `online_storage_ttl_days` should be less
+  // than or equal to `offline_storage_ttl_days` for each EntityType under a
+  // featurestore. If not set, default to 4000 days
   int32 online_storage_ttl_days = 13 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Customer-managed encryption key spec for data storage. If set, both of the
-  // online and offline data storage will be secured by this key.
+  // Optional. Customer-managed encryption key spec for data storage. If set,
+  // both of the online and offline data storage will be secured by this key.
   EncryptionSpec encryption_spec = 10 [(google.api.field_behavior) = OPTIONAL];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto
index fefe9e7729cc..307a3cd88ed1 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto
@@ -54,7 +54,8 @@ message FeaturestoreMonitoringConfig {
     // running interval. The value indicates number of days.
     // If both
     // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-    // and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
+    // and
+    // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
     // are set when creating/updating EntityTypes/Features,
     // [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
     // will be used.
@@ -145,11 +146,15 @@ message FeaturestoreMonitoringConfig {
 
   // Threshold for numerical features of anomaly detection.
   // This is shared by all objectives of Featurestore Monitoring for numerical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) DOUBLE or INT64).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // DOUBLE or INT64).
   ThresholdConfig numerical_threshold_config = 3;
 
   // Threshold for categorical features of anomaly detection.
   // This is shared by all types of Featurestore Monitoring for categorical
-  // features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType]) BOOL or STRING).
+  // features (i.e. Features with type
+  // ([Feature.ValueType][google.cloud.aiplatform.v1beta1.Feature.ValueType])
+  // BOOL or STRING).
   ThresholdConfig categorical_threshold_config = 4;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_online_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_online_service.proto
index 5f7cbd1449a1..8ee05dffa2c2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_online_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_online_service.proto
@@ -35,12 +35,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for serving online feature values.
 service FeaturestoreOnlineServingService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Reads Feature values of a specific entity of an EntityType. For reading
   // feature values of multiple entities of an EntityType, please use
   // StreamingReadFeatureValues.
-  rpc ReadFeatureValues(ReadFeatureValuesRequest) returns (ReadFeatureValuesResponse) {
+  rpc ReadFeatureValues(ReadFeatureValuesRequest)
+      returns (ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:readFeatureValues"
       body: "*"
@@ -51,7 +53,8 @@ service FeaturestoreOnlineServingService {
   // Reads Feature values for multiple entities. Depending on their size, data
   // for different entities may be broken
   // up across multiple responses.
-  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest) returns (stream ReadFeatureValuesResponse) {
+  rpc StreamingReadFeatureValues(StreamingReadFeatureValuesRequest)
+      returns (stream ReadFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:streamingReadFeatureValues"
       body: "*"
@@ -64,7 +67,8 @@ service FeaturestoreOnlineServingService {
   // The Feature values are merged into existing entities if any. The Feature
   // values to be written must have timestamp within the online storage
   // retention.
-  rpc WriteFeatureValues(WriteFeatureValuesRequest) returns (WriteFeatureValuesResponse) {
+  rpc WriteFeatureValues(WriteFeatureValuesRequest)
+      returns (WriteFeatureValuesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:writeFeatureValues"
       body: "*"
@@ -73,10 +77,12 @@ service FeaturestoreOnlineServingService {
   }
 }
 
-// Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
 message WriteFeatureValuesRequest {
-  // Required. The resource name of the EntityType for the entities being written.
-  // Value format: `projects/{project}/locations/{location}/featurestores/
+  // Required. The resource name of the EntityType for the entities being
+  // written. Value format:
+  // `projects/{project}/locations/{location}/featurestores/
   // {featurestore}/entityTypes/{entityType}`. For example,
   // for a machine learning model predicting user clicks on a website, an
   // EntityType ID could be `user`.
@@ -87,9 +93,10 @@ message WriteFeatureValuesRequest {
     }
   ];
 
-  // Required. The entities to be written. Up to 100,000 feature values can be written
-  // across all `payloads`.
-  repeated WriteFeatureValuesPayload payloads = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The entities to be written. Up to 100,000 feature values can be
+  // written across all `payloads`.
+  repeated WriteFeatureValuesPayload payloads = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Contains Feature values to be written for a specific entity.
@@ -97,19 +104,20 @@ message WriteFeatureValuesPayload {
   // Required. The ID of the entity.
   string entity_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Feature values to be written, mapping from Feature ID to value. Up to
-  // 100,000 `feature_values` entries may be written across all payloads.  The
-  // feature generation time, aligned by days, must be no older than five
+  // Required. Feature values to be written, mapping from Feature ID to value.
+  // Up to 100,000 `feature_values` entries may be written across all payloads.
+  // The feature generation time, aligned by days, must be no older than five
   // years (1825 days) and no later than one year (366 days) in the future.
-  map feature_values = 2 [(google.api.field_behavior) = REQUIRED];
+  map feature_values = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
-message WriteFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].
+message WriteFeatureValuesResponse {}
 
-// Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Request message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesRequest {
   // Required. The resource name of the EntityType for the entity being read.
   // Value format:
@@ -132,7 +140,8 @@ message ReadFeatureValuesRequest {
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
+// Response message for
+// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].
 message ReadFeatureValuesResponse {
   // Metadata for requested Features.
   message FeatureDescriptor {
@@ -141,14 +150,16 @@ message ReadFeatureValuesResponse {
   }
 
   // Response header with metadata for the requested
-  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.
+  // [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type]
+  // and Features.
   message Header {
     // The resource name of the EntityType from the
-    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
+    // [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest].
+    // Value format:
     // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
     string entity_type = 1 [(google.api.resource_reference) = {
-                              type: "aiplatform.googleapis.com/EntityType"
-                            }];
+      type: "aiplatform.googleapis.com/EntityType"
+    }];
 
     // List of Feature metadata corresponding to each piece of
     // [ReadFeatureValuesResponse.data][].
@@ -179,7 +190,8 @@ message ReadFeatureValuesResponse {
     // requested values for one requested Feature. If no values
     // for the requested Feature exist, the corresponding cell will be empty.
     // This has the same size and is in the same order as the features from the
-    // header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
+    // header
+    // [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
     repeated Data data = 2;
   }
 
@@ -209,13 +221,13 @@ message StreamingReadFeatureValuesRequest {
     }
   ];
 
-  // Required. IDs of entities to read Feature values of. The maximum number of IDs is
-  // 100. For example, for a machine learning model predicting user clicks on a
-  // website, an entity ID could be `user_123`.
+  // Required. IDs of entities to read Feature values of. The maximum number of
+  // IDs is 100. For example, for a machine learning model predicting user
+  // clicks on a website, an entity ID could be `user_123`.
   repeated string entity_ids = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Selector choosing Features of the target EntityType. Feature IDs will be
-  // deduplicated.
+  // Required. Selector choosing Features of the target EntityType. Feature IDs
+  // will be deduplicated.
   FeatureSelector feature_selector = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
index 5db9e02bf915..31aed3da96c3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
@@ -42,16 +42,19 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // The service that handles CRUD and List for resources for Featurestore.
 service FeaturestoreService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a new Featurestore in a given project and location.
-  rpc CreateFeaturestore(CreateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeaturestore(CreateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/featurestores"
       body: "featurestore"
     };
     option (google.api.method_signature) = "parent,featurestore";
-    option (google.api.method_signature) = "parent,featurestore,featurestore_id";
+    option (google.api.method_signature) =
+        "parent,featurestore,featurestore_id";
     option (google.longrunning.operation_info) = {
       response_type: "Featurestore"
       metadata_type: "CreateFeaturestoreOperationMetadata"
@@ -67,7 +70,8 @@ service FeaturestoreService {
   }
 
   // Lists Featurestores in a given project and location.
-  rpc ListFeaturestores(ListFeaturestoresRequest) returns (ListFeaturestoresResponse) {
+  rpc ListFeaturestores(ListFeaturestoresRequest)
+      returns (ListFeaturestoresResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/featurestores"
     };
@@ -75,7 +79,8 @@ service FeaturestoreService {
   }
 
   // Updates the parameters of a single Featurestore.
-  rpc UpdateFeaturestore(UpdateFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc UpdateFeaturestore(UpdateFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1beta1/{featurestore.name=projects/*/locations/*/featurestores/*}"
       body: "featurestore"
@@ -89,7 +94,8 @@ service FeaturestoreService {
 
   // Deletes a single Featurestore. The Featurestore must not contain any
   // EntityTypes or `force` must be set to true for the request to succeed.
-  rpc DeleteFeaturestore(DeleteFeaturestoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeaturestore(DeleteFeaturestoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/featurestores/*}"
     };
@@ -102,7 +108,8 @@ service FeaturestoreService {
   }
 
   // Creates a new EntityType in a given Featurestore.
-  rpc CreateEntityType(CreateEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc CreateEntityType(CreateEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
       body: "entity_type"
@@ -124,7 +131,8 @@ service FeaturestoreService {
   }
 
   // Lists EntityTypes in a given Featurestore.
-  rpc ListEntityTypes(ListEntityTypesRequest) returns (ListEntityTypesResponse) {
+  rpc ListEntityTypes(ListEntityTypesRequest)
+      returns (ListEntityTypesResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/featurestores/*}/entityTypes"
     };
@@ -142,7 +150,8 @@ service FeaturestoreService {
 
   // Deletes a single EntityType. The EntityType must not have any Features
   // or `force` must be set to true for the request to succeed.
-  rpc DeleteEntityType(DeleteEntityTypeRequest) returns (google.longrunning.Operation) {
+  rpc DeleteEntityType(DeleteEntityTypeRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}"
     };
@@ -155,7 +164,8 @@ service FeaturestoreService {
   }
 
   // Creates a new Feature in a given EntityType.
-  rpc CreateFeature(CreateFeatureRequest) returns (google.longrunning.Operation) {
+  rpc CreateFeature(CreateFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features"
       body: "feature"
@@ -169,7 +179,8 @@ service FeaturestoreService {
   }
 
   // Creates a batch of Features in a given EntityType.
-  rpc BatchCreateFeatures(BatchCreateFeaturesRequest) returns (google.longrunning.Operation) {
+  rpc BatchCreateFeatures(BatchCreateFeaturesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/featurestores/*/entityTypes/*}/features:batchCreate"
       body: "*"
@@ -207,7 +218,8 @@ service FeaturestoreService {
   }
 
   // Deletes a single Feature.
-  rpc DeleteFeature(DeleteFeatureRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeature(DeleteFeatureRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}"
     };
@@ -238,7 +250,8 @@ service FeaturestoreService {
   //  include but are not limited to changing storage location, storage class,
   //  or retention policy.
   //  - Online serving cluster is under-provisioned.
-  rpc ImportFeatureValues(ImportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ImportFeatureValues(ImportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:importFeatureValues"
       body: "*"
@@ -256,7 +269,8 @@ service FeaturestoreService {
   // instance in the batch may read Feature values of entities from one or
   // more EntityTypes. Point-in-time correctness is guaranteed for Feature
   // values of each read instance as of each instance's read timestamp.
-  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc BatchReadFeatureValues(BatchReadFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{featurestore=projects/*/locations/*/featurestores/*}:batchReadFeatureValues"
       body: "*"
@@ -269,7 +283,8 @@ service FeaturestoreService {
   }
 
   // Exports Feature values from all the entities of a target EntityType.
-  rpc ExportFeatureValues(ExportFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc ExportFeatureValues(ExportFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:exportFeatureValues"
       body: "*"
@@ -291,7 +306,8 @@ service FeaturestoreService {
   // returned from reads and exports may be inconsistent. If consistency is
   // required, the caller must retry the same delete request again and wait till
   // the new operation returned is marked as successfully done.
-  rpc DeleteFeatureValues(DeleteFeatureValuesRequest) returns (google.longrunning.Operation) {
+  rpc DeleteFeatureValues(DeleteFeatureValuesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:deleteFeatureValues"
       body: "*"
@@ -313,7 +329,8 @@ service FeaturestoreService {
   }
 }
 
-// Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
+// Request message for
+// [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].
 message CreateFeaturestoreRequest {
   // Required. The resource name of the Location to create Featurestores.
   // Format:
@@ -328,8 +345,8 @@ message CreateFeaturestoreRequest {
   // Required. The Featurestore to create.
   Featurestore featurestore = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for this Featurestore, which will become the final component
-  // of the Featurestore's resource name.
+  // Required. The ID to use for this Featurestore, which will become the final
+  // component of the Featurestore's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -338,7 +355,8 @@ message CreateFeaturestoreRequest {
   string featurestore_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
+// Request message for
+// [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].
 message GetFeaturestoreRequest {
   // Required. The name of the Featurestore resource.
   string name = 1 [
@@ -349,7 +367,8 @@ message GetFeaturestoreRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+// Request message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresRequest {
   // Required. The resource name of the Location to list Featurestores.
   // Format:
@@ -389,12 +408,12 @@ message ListFeaturestoresRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -410,22 +429,24 @@ message ListFeaturestoresRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
+// Response message for
+// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].
 message ListFeaturestoresResponse {
   // The Featurestores matching the request.
   repeated Featurestore featurestores = 1;
 
-  // A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
+// Request message for
+// [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].
 message UpdateFeaturestoreRequest {
-  // Required. The Featurestore's `name` field is used to identify the Featurestore to be
-  // updated.
-  // Format:
+  // Required. The Featurestore's `name` field is used to identify the
+  // Featurestore to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   Featurestore featurestore = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -442,11 +463,12 @@ message UpdateFeaturestoreRequest {
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
   //   * `online_serving_config.scaling`
-  //   * `online_storage_ttl_days`
+  //   * `online_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
+// Request message for
+// [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].
 message DeleteFeaturestoreRequest {
   // Required. The name of the Featurestore to be deleted.
   // Format:
@@ -464,12 +486,13 @@ message DeleteFeaturestoreRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+// Request message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesRequest {
   // Defines the Feature value(s) to import.
   message FeatureSpec {
-    // Required. ID of the Feature to import values of. This Feature must exist in the
-    // target EntityType, or the request will fail.
+    // Required. ID of the Feature to import values of. This Feature must exist
+    // in the target EntityType, or the request will fail.
     string id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Source column to get the Feature values from. If not set, uses the column
@@ -499,8 +522,8 @@ message ImportFeatureValuesRequest {
     google.protobuf.Timestamp feature_time = 7;
   }
 
-  // Required. The resource name of the EntityType grouping the Features for which values
-  // are being imported. Format:
+  // Required. The resource name of the EntityType grouping the Features for
+  // which values are being imported. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -513,10 +536,11 @@ message ImportFeatureValuesRequest {
   // extracted from the column named `entity_id`.
   string entity_id_field = 5;
 
-  // Required. Specifications defining which Feature values to import from the entity. The
-  // request fails if no feature_specs are provided, and having multiple
-  // feature_specs for one Feature is not allowed.
-  repeated FeatureSpec feature_specs = 8 [(google.api.field_behavior) = REQUIRED];
+  // Required. Specifications defining which Feature values to import from the
+  // entity. The request fails if no feature_specs are provided, and having
+  // multiple feature_specs for one Feature is not allowed.
+  repeated FeatureSpec feature_specs = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // If set, data will not be imported for online serving. This
   // is typically used for backfilling, where Feature generation timestamps are
@@ -535,7 +559,8 @@ message ImportFeatureValuesRequest {
   bool disable_ingestion_analysis = 12;
 }
 
-// Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
+// Response message for
+// [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].
 message ImportFeatureValuesResponse {
   // Number of entities that have been imported by the operation.
   int64 imported_entity_count = 1;
@@ -555,25 +580,30 @@ message ImportFeatureValuesResponse {
   int64 timestamp_outside_retention_rows_count = 4;
 }
 
-// Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+// Request message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
 message BatchReadFeatureValuesRequest {
   // Describe pass-through fields in read_instance source.
   message PassThroughField {
-    // Required. The name of the field in the CSV header or the name of the column in
-    // BigQuery table. The naming restriction is the same as [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
+    // Required. The name of the field in the CSV header or the name of the
+    // column in BigQuery table. The naming restriction is the same as
+    // [Feature.name][google.cloud.aiplatform.v1beta1.Feature.name].
     string field_name = 1 [(google.api.field_behavior) = REQUIRED];
   }
 
   // Selects Features of an EntityType to read values of and specifies read
   // settings.
   message EntityTypeSpec {
-    // Required. ID of the EntityType to select Features. The EntityType id is the
-    // [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
-    // during EntityType creation.
+    // Required. ID of the EntityType to select Features. The EntityType id is
+    // the
+    // [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id]
+    // specified during EntityType creation.
     string entity_type_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-    // Required. Selectors choosing which Feature values to read from the EntityType.
-    FeatureSelector feature_selector = 2 [(google.api.field_behavior) = REQUIRED];
+    // Required. Selectors choosing which Feature values to read from the
+    // EntityType.
+    FeatureSelector feature_selector = 2
+        [(google.api.field_behavior) = REQUIRED];
 
     // Per-Feature settings for the batch read.
     repeated DestinationFeatureSetting settings = 3;
@@ -610,8 +640,8 @@ message BatchReadFeatureValuesRequest {
     BigQuerySource bigquery_read_instances = 5;
   }
 
-  // Required. The resource name of the Featurestore from which to query Feature values.
-  // Format:
+  // Required. The resource name of the Featurestore from which to query Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}`
   string featurestore = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -621,7 +651,8 @@ message BatchReadFeatureValuesRequest {
   ];
 
   // Required. Specifies output location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // When not empty, the specified fields in the *_read_instances source will be
   // joined as-is in the output, in addition to those fields from the
@@ -632,20 +663,23 @@ message BatchReadFeatureValuesRequest {
   // passed as opaque bytes.
   repeated PassThroughField pass_through_fields = 8;
 
-  // Required. Specifies EntityType grouping Features to read values of and settings.
-  // Each EntityType referenced in
+  // Required. Specifies EntityType grouping Features to read values of and
+  // settings. Each EntityType referenced in
   // [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
   // specifying entity IDs in the EntityType in
   // [BatchReadFeatureValuesRequest.request][] .
-  repeated EntityTypeSpec entity_type_specs = 7 [(google.api.field_behavior) = REQUIRED];
+  repeated EntityTypeSpec entity_type_specs = 7
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Excludes Feature values with feature generation timestamp before this
-  // timestamp. If not set, retrieve oldest values kept in Feature Store.
+  // Optional. Excludes Feature values with feature generation timestamp before
+  // this timestamp. If not set, retrieve oldest values kept in Feature Store.
   // Timestamp, if present, must not have higher than millisecond precision.
-  google.protobuf.Timestamp start_time = 11 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.Timestamp start_time = 11
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+// Request message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
 message ExportFeatureValuesRequest {
   // Describes exporting the latest Feature values of all entities of the
   // EntityType between [start_time, snapshot_time].
@@ -686,8 +720,8 @@ message ExportFeatureValuesRequest {
     FullExport full_export = 7;
   }
 
-  // Required. The resource name of the EntityType from which to export Feature values.
-  // Format:
+  // Required. The resource name of the EntityType from which to export Feature
+  // values. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -697,7 +731,8 @@ message ExportFeatureValuesRequest {
   ];
 
   // Required. Specifies destination location and format.
-  FeatureValueDestination destination = 4 [(google.api.field_behavior) = REQUIRED];
+  FeatureValueDestination destination = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Selects Features to export values of.
   FeatureSelector feature_selector = 5 [(google.api.field_behavior) = REQUIRED];
@@ -719,8 +754,10 @@ message DestinationFeatureSetting {
 message FeatureValueDestination {
   oneof destination {
     // Output in BigQuery format.
-    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
-    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
+    // [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri]
+    // in
+    // [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination]
+    // must refer to a table.
     BigQueryDestination bigquery_destination = 1;
 
     // Output in TFRecord format.
@@ -742,17 +779,16 @@ message FeatureValueDestination {
   }
 }
 
-// Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
-message ExportFeatureValuesResponse {
-
-}
-
-// Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
-message BatchReadFeatureValuesResponse {
+// Response message for
+// [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].
+message ExportFeatureValuesResponse {}
 
-}
+// Response message for
+// [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
+message BatchReadFeatureValuesResponse {}
 
-// Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
+// Request message for
+// [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].
 message CreateEntityTypeRequest {
   // Required. The resource name of the Featurestore to create EntityTypes.
   // Format:
@@ -767,8 +803,8 @@ message CreateEntityTypeRequest {
   // The EntityType to create.
   EntityType entity_type = 2;
 
-  // Required. The ID to use for the EntityType, which will become the final component of
-  // the EntityType's resource name.
+  // Required. The ID to use for the EntityType, which will become the final
+  // component of the EntityType's resource name.
   //
   // This value may be up to 60 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -777,7 +813,8 @@ message CreateEntityTypeRequest {
   string entity_type_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
+// Request message for
+// [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].
 message GetEntityTypeRequest {
   // Required. The name of the EntityType resource.
   // Format:
@@ -790,7 +827,8 @@ message GetEntityTypeRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+// Request message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesRequest {
   // Required. The resource name of the Featurestore to list EntityTypes.
   // Format:
@@ -829,12 +867,12 @@ message ListEntityTypesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -851,22 +889,24 @@ message ListEntityTypesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
+// Response message for
+// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].
 message ListEntityTypesResponse {
   // The EntityTypes matching the request.
   repeated EntityType entity_types = 1;
 
-  // A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
+// Request message for
+// [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].
 message UpdateEntityTypeRequest {
-  // Required. The EntityType's `name` field is used to identify the EntityType to be
-  // updated.
-  // Format:
+  // Required. The EntityType's `name` field is used to identify the EntityType
+  // to be updated. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   EntityType entity_type = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -889,7 +929,7 @@ message UpdateEntityTypeRequest {
   //   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
   //   * `monitoring_config.numerical_threshold_config.value`
   //   * `monitoring_config.categorical_threshold_config.value`
-  //   * `offline_storage_ttl_days`
+  //   * `offline_storage_ttl_days` (available in Preview)
   google.protobuf.FieldMask update_mask = 2;
 }
 
@@ -910,7 +950,8 @@ message DeleteEntityTypeRequest {
   bool force = 2;
 }
 
-// Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
+// Request message for
+// [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].
 message CreateFeatureRequest {
   // Required. The resource name of the EntityType to create a Feature.
   // Format:
@@ -925,8 +966,8 @@ message CreateFeatureRequest {
   // Required. The Feature to create.
   Feature feature = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Feature, which will become the final component of
-  // the Feature's resource name.
+  // Required. The ID to use for the Feature, which will become the final
+  // component of the Feature's resource name.
   //
   // This value may be up to 128 characters, and valid characters are
   // `[a-z0-9_]`. The first character cannot be a number.
@@ -935,10 +976,11 @@ message CreateFeatureRequest {
   string feature_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+// Request message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesRequest {
-  // Required. The resource name of the EntityType to create the batch of Features under.
-  // Format:
+  // Required. The resource name of the EntityType to create the batch of
+  // Features under. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -947,20 +989,24 @@ message BatchCreateFeaturesRequest {
     }
   ];
 
-  // Required. The request message specifying the Features to create. All Features must be
-  // created under the same parent EntityType. The `parent` field in each child
-  // request message can be omitted. If `parent` is set in a child request, then
-  // the value must match the `parent` value in this request message.
-  repeated CreateFeatureRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the Features to create. All
+  // Features must be created under the same parent EntityType. The `parent`
+  // field in each child request message can be omitted. If `parent` is set in a
+  // child request, then the value must match the `parent` value in this request
+  // message.
+  repeated CreateFeatureRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
+// Response message for
+// [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].
 message BatchCreateFeaturesResponse {
   // The Features created.
   repeated Feature features = 1;
 }
 
-// Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
+// Request message for
+// [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].
 message GetFeatureRequest {
   // Required. The name of the Feature resource.
   // Format:
@@ -973,7 +1019,8 @@ message GetFeatureRequest {
   ];
 }
 
-// Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+// Request message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
 message ListFeaturesRequest {
   // Required. The resource name of the Location to list Features.
   // Format:
@@ -1014,12 +1061,12 @@ message ListFeaturesRequest {
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
-  // match the call that provided the page token.
+  // [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // A comma-separated list of fields to order by, sorted in ascending order.
@@ -1035,25 +1082,30 @@ message ListFeaturesRequest {
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 6;
 
-  // If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
+  // If set, return the most recent
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
   // of stats for each Feature in response. Valid value is [0, 10]. If number of
-  // stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
-  // existing stats.
+  // stats exists <
+  // [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count],
+  // return all existing stats.
   int32 latest_stats_count = 7;
 }
 
-// Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
+// Response message for
+// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].
 message ListFeaturesResponse {
   // The Features matching the request.
   repeated Feature features = 1;
 
-  // A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+// Request message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesRequest {
   // Required. The resource name of the Location to search Features.
   // Format:
@@ -1133,16 +1185,17 @@ message SearchFeaturesRequest {
   int32 page_size = 4;
 
   // A page token, received from a previous
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
-  // Provide this to retrieve the subsequent page.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
-  // match the call that provided the page token.
+  // [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures],
+  // except `page_size`, must match the call that provided the page token.
   string page_token = 5;
 }
 
-// Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
+// Response message for
+// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].
 message SearchFeaturesResponse {
   // The Features matching the request.
   //
@@ -1155,13 +1208,15 @@ message SearchFeaturesResponse {
   //  * `update_time`
   repeated Feature features = 1;
 
-  // A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
+// Request message for
+// [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].
 message UpdateFeatureRequest {
   // Required. The Feature's `name` field is used to identify the Feature to be
   // updated.
@@ -1185,7 +1240,8 @@ message UpdateFeatureRequest {
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
+// Request message for
+// [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].
 message DeleteFeatureRequest {
   // Required. The name of the Features to be deleted.
   // Format:
@@ -1272,15 +1328,17 @@ message BatchCreateFeaturesOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+// Request message for
+// [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
 message DeleteFeatureValuesRequest {
   // Message to select entity.
   // If an entity id is selected, all the feature values corresponding to the
   // entity id will be deleted, including the entityId.
   message SelectEntity {
-    // Required. Selectors choosing feature values of which entity id to be deleted from
-    // the EntityType.
-    EntityIdSelector entity_id_selector = 1 [(google.api.field_behavior) = REQUIRED];
+    // Required. Selectors choosing feature values of which entity id to be
+    // deleted from the EntityType.
+    EntityIdSelector entity_id_selector = 1
+        [(google.api.field_behavior) = REQUIRED];
   }
 
   // Message to select time range and feature.
@@ -1292,11 +1350,13 @@ message DeleteFeatureValuesRequest {
   message SelectTimeRangeAndFeature {
     // Required. Select feature generated within a half-inclusive time range.
     // The time range is lower inclusive and upper exclusive.
-    google.type.Interval time_range = 1 [(google.api.field_behavior) = REQUIRED];
+    google.type.Interval time_range = 1
+        [(google.api.field_behavior) = REQUIRED];
 
     // Required. Selectors choosing which feature values to be deleted from the
     // EntityType.
-    FeatureSelector feature_selector = 2 [(google.api.field_behavior) = REQUIRED];
+    FeatureSelector feature_selector = 2
+        [(google.api.field_behavior) = REQUIRED];
 
     // If set, data will not be deleted from online storage.
     // When time range is older than the data in online storage, setting this to
@@ -1314,8 +1374,8 @@ message DeleteFeatureValuesRequest {
     SelectTimeRangeAndFeature select_time_range_and_feature = 3;
   }
 
-  // Required. The resource name of the EntityType grouping the Features for which values
-  // are being deleted from. Format:
+  // Required. The resource name of the EntityType grouping the Features for
+  // which values are being deleted from. Format:
   // `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
   string entity_type = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1325,10 +1385,9 @@ message DeleteFeatureValuesRequest {
   ];
 }
 
-// Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
-message DeleteFeatureValuesResponse {
-
-}
+// Response message for
+// [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
+message DeleteFeatureValuesResponse {}
 
 // Selector for entityId. Getting ids from the given source.
 message EntityIdSelector {
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
index 587680bc300f..ac5d551570ec 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
@@ -66,8 +66,8 @@ message HyperparameterTuningJob {
   // before the whole job fails.
   int32 max_failed_trial_count = 7;
 
-  // Required. The spec of a trial job. The same spec applies to the CustomJobs created
-  // in all the trials.
+  // Required. The spec of a trial job. The same spec applies to the CustomJobs
+  // created in all the trials.
   CustomJobSpec trial_job_spec = 8 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. Trials of the HyperparameterTuningJob.
@@ -77,18 +77,24 @@ message HyperparameterTuningJob {
   JobState state = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the HyperparameterTuningJob was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob for the first time entered the
-  // `JOB_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob entered any of the following states:
-  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Time when the HyperparameterTuningJob was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob for the first time
+  // entered the `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob entered any of the
+  // following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`,
+  // `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob was most recently
+  // updated.
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Only populated when job's state is JOB_STATE_FAILED or
   // JOB_STATE_CANCELLED.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index.proto
index 9e010542e6a0..279c421d8833 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index.proto
@@ -64,10 +64,10 @@ message Index {
   // The description of the Index.
   string description = 3;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Index, that is specific to it. Unset if the Index
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Index, that is specific to it. Unset if
+  // the Index does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -75,13 +75,15 @@ message Index {
   string metadata_schema_uri = 4 [(google.api.field_behavior) = IMMUTABLE];
 
   // An additional information about the Index; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
+  // be found in
+  // [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
   google.protobuf.Value metadata = 6;
 
   // Output only. The pointers to DeployedIndexes created from this Index.
   // An Index can be only deleted if all its DeployedIndexes had been undeployed
   // first.
-  repeated DeployedIndexRef deployed_indexes = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndexRef deployed_indexes = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -97,24 +99,27 @@ message Index {
   map labels = 9;
 
   // Output only. Timestamp when this Index was created.
-  google.protobuf.Timestamp create_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Index was most recently updated.
   // This also includes any update to the contents of the Index.
   // Note that Operations working on this Index may have their
   // [Operations.metadata.generic_metadata.update_time]
-  // [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
-  // timestamp, yet that does not mean their results are not already reflected
-  // in the Index. Result of any successfully completed Operation on the Index
-  // is reflected in it.
-  google.protobuf.Timestamp update_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a
+  // little after the value of this timestamp, yet that does not mean their
+  // results are not already reflected in the Index. Result of any successfully
+  // completed Operation on the Index is reflected in it.
+  google.protobuf.Timestamp update_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Stats of the index resource.
   IndexStats index_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Immutable. The update method to use with this Index. If not set, BATCH_UPDATE will be
-  // used by default.
-  IndexUpdateMethod index_update_method = 16 [(google.api.field_behavior) = IMMUTABLE];
+  // Immutable. The update method to use with this Index. If not set,
+  // BATCH_UPDATE will be used by default.
+  IndexUpdateMethod index_update_method = 16
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A datapoint of Index.
@@ -151,14 +156,14 @@ message IndexDatapoint {
   // [NearestNeighborSearchConfig.dimensions].
   repeated float feature_vector = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. List of Restrict of the datapoint, used to perform "restricted searches"
-  // where boolean rule are used to filter the subset of the database eligible
-  // for matching.
-  // See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
+  // Optional. List of Restrict of the datapoint, used to perform "restricted
+  // searches" where boolean rule are used to filter the subset of the database
+  // eligible for matching. See:
+  // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
   repeated Restriction restricts = 4 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. CrowdingTag of the datapoint, the number of neighbors to return in each
-  // crowding can be configured during query.
+  // Optional. CrowdingTag of the datapoint, the number of neighbors to return
+  // in each crowding can be configured during query.
   CrowdingTag crowding_tag = 5 [(google.api.field_behavior) = OPTIONAL];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint.proto
index ba443ca3864d..2230eae354a6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint.proto
@@ -49,7 +49,8 @@ message IndexEndpoint {
   string description = 3;
 
   // Output only. The indexes deployed in this endpoint.
-  repeated DeployedIndex deployed_indexes = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeployedIndex deployed_indexes = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -65,13 +66,15 @@ message IndexEndpoint {
   map labels = 6;
 
   // Output only. Timestamp when this IndexEndpoint was created.
-  google.protobuf.Timestamp create_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this IndexEndpoint was last updated.
   // This timestamp is not updated when the endpoint's DeployedIndexes are
   // updated, e.g. due to updates of the original Indexes they are the
   // deployments of.
-  google.protobuf.Timestamp update_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The full name of the Google Compute Engine
   // [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks)
@@ -90,15 +93,15 @@ message IndexEndpoint {
   // network name.
   string network = 9 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. Deprecated: If true, expose the IndexEndpoint via private service connect.
+  // Optional. Deprecated: If true, expose the IndexEndpoint via private service
+  // connect.
   //
-  // Only one of the fields, [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
+  // Only one of the fields,
+  // [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] or
   // [enable_private_service_connect][google.cloud.aiplatform.v1beta1.IndexEndpoint.enable_private_service_connect],
   // can be set.
-  bool enable_private_service_connect = 10 [
-    deprecated = true,
-    (google.api.field_behavior) = OPTIONAL
-  ];
+  bool enable_private_service_connect = 10
+      [deprecated = true, (google.api.field_behavior) = OPTIONAL];
 }
 
 // A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
@@ -123,20 +126,25 @@ message DeployedIndex {
   string display_name = 3;
 
   // Output only. Timestamp when the DeployedIndex was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Provides paths for users to send requests directly to the deployed index
-  // services running on Cloud via private services access. This field is
-  // populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
-  IndexPrivateEndpoints private_endpoints = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. The DeployedIndex may depend on various data on its original Index.
-  // Additionally when certain changes to the original Index are being done
-  // (e.g. when what the Index contains is being changed) the DeployedIndex may
-  // be asynchronously updated in the background to reflect this changes.
-  // If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
-  // original Index, it means that this DeployedIndex and the original Index are
-  // in sync. If this timestamp is older, then to see which updates this
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Provides paths for users to send requests directly to the
+  // deployed index services running on Cloud via private services access. This
+  // field is populated if
+  // [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is
+  // configured.
+  IndexPrivateEndpoints private_endpoints = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The DeployedIndex may depend on various data on its original
+  // Index. Additionally when certain changes to the original Index are being
+  // done (e.g. when what the Index contains is being changed) the DeployedIndex
+  // may be asynchronously updated in the background to reflect this changes. If
+  // this timestamp's value is at least the
+  // [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of
+  // the original Index, it means that this DeployedIndex and the original Index
+  // are in sync. If this timestamp is older, then to see which updates this
   // DeployedIndex already contains (and which not), one must
   // [list][Operations.ListOperations] [Operations][Operation]
   // [working][Operation.name] on the original Index. Only
@@ -144,30 +152,41 @@ message DeployedIndex {
   // [Operations.metadata.generic_metadata.update_time]
   // [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time]
   // equal or before this sync time are contained in this DeployedIndex.
-  google.protobuf.Timestamp index_sync_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp index_sync_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Optional. A description of resources that the DeployedIndex uses, which to large
-  // degree are decided by Vertex AI, and optionally allows only a modest
+  // Optional. A description of resources that the DeployedIndex uses, which to
+  // large degree are decided by Vertex AI, and optionally allows only a modest
   // additional configuration.
   // If min_replica_count is not set, the default value is 2 (we don't provide
   // SLA when min_replica_count=1). If max_replica_count is not set, the
   // default value is min_replica_count. The max allowed replica count is
   // 1000.
-  AutomaticResources automatic_resources = 7 [(google.api.field_behavior) = OPTIONAL];
-
-  // Optional. A description of resources that are dedicated to the DeployedIndex, and
-  // that need a higher degree of manual configuration.
-  // If min_replica_count is not set, the default value is 2 (we don't provide
-  // SLA when min_replica_count=1). If max_replica_count is not set, the
-  // default value is min_replica_count. The max allowed replica count is
-  // 1000.
+  AutomaticResources automatic_resources = 7
+      [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. A description of resources that are dedicated to the
+  // DeployedIndex, and that need a higher degree of manual configuration. If
+  // min_replica_count is not set, the default value is 2 (we don't provide SLA
+  // when min_replica_count=1). If max_replica_count is not set, the default
+  // value is min_replica_count. The max allowed replica count is 1000.
+  //
+  // Available machine types for SMALL shard:
+  // e2-standard-2 and all machine types available for MEDIUM and LARGE shard.
+  //
+  // Available machine types for MEDIUM shard:
+  // e2-standard-16 and all machine types available for LARGE shard.
+  //
+  // Available machine types for LARGE shard:
+  // e2-standard-32, e2-highmem-16, n2d-standard-32.
   //
-  // Available machine types:
-  // n1-standard-16
-  // n1-standard-32
-  DedicatedResources dedicated_resources = 16 [(google.api.field_behavior) = OPTIONAL];
+  // n1-standard-16 and n1-standard-32 are still available, but we recommend
+  // e2-standard-16 and e2-standard-32 for cost efficiency.
+  DedicatedResources dedicated_resources = 16
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
+  // Optional. If true, private endpoint's access logs are sent to StackDriver
+  // Logging.
   //
   // These logs are like standard server access logs, containing
   // information like timestamp and latency for each MatchRequest.
@@ -178,7 +197,8 @@ message DeployedIndex {
   bool enable_access_logging = 8 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. If set, the authentication is enabled for the private endpoint.
-  DeployedIndexAuthConfig deployed_index_auth_config = 9 [(google.api.field_behavior) = OPTIONAL];
+  DeployedIndexAuthConfig deployed_index_auth_config = 9
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. A list of reserved ip ranges under the VPC network that can be
   // used for this DeployedIndex.
@@ -190,7 +210,8 @@ message DeployedIndex {
   // The value sohuld be the name of the address
   // (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
   // Example: 'vertex-ai-ip-range'.
-  repeated string reserved_ip_ranges = 10 [(google.api.field_behavior) = OPTIONAL];
+  repeated string reserved_ip_ranges = 10
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The deployment group can be no longer than 64 characters (eg:
   // 'test', 'prod'). If not set, we will use the 'default' deployment group.
@@ -239,7 +260,7 @@ message IndexPrivateEndpoints {
   // Output only. The ip address used to send match gRPC requests.
   string match_grpc_address = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The name of the service attachment resource. Populated if private service
-  // connect is enabled.
+  // Output only. The name of the service attachment resource. Populated if
+  // private service connect is enabled.
   string service_attachment = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint_service.proto
index c688741fa2d7..27e5e374d7ae 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint_service.proto
@@ -36,10 +36,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for managing Vertex AI's IndexEndpoints.
 service IndexEndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an IndexEndpoint.
-  rpc CreateIndexEndpoint(CreateIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc CreateIndexEndpoint(CreateIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/indexEndpoints"
       body: "index_endpoint"
@@ -60,7 +62,8 @@ service IndexEndpointService {
   }
 
   // Lists IndexEndpoints in a Location.
-  rpc ListIndexEndpoints(ListIndexEndpointsRequest) returns (ListIndexEndpointsResponse) {
+  rpc ListIndexEndpoints(ListIndexEndpointsRequest)
+      returns (ListIndexEndpointsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/indexEndpoints"
     };
@@ -77,7 +80,8 @@ service IndexEndpointService {
   }
 
   // Deletes an IndexEndpoint.
-  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest) returns (google.longrunning.Operation) {
+  rpc DeleteIndexEndpoint(DeleteIndexEndpointRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}"
     };
@@ -105,7 +109,8 @@ service IndexEndpointService {
 
   // Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
   // and freeing all resources it's using.
-  rpc UndeployIndex(UndeployIndexRequest) returns (google.longrunning.Operation) {
+  rpc UndeployIndex(UndeployIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:undeployIndex"
       body: "*"
@@ -118,7 +123,8 @@ service IndexEndpointService {
   }
 
   // Update an existing DeployedIndex under an IndexEndpoint.
-  rpc MutateDeployedIndex(MutateDeployedIndexRequest) returns (google.longrunning.Operation) {
+  rpc MutateDeployedIndex(MutateDeployedIndexRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:mutateDeployedIndex"
       body: "deployed_index"
@@ -131,7 +137,8 @@ service IndexEndpointService {
   }
 }
 
-// Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].
 message CreateIndexEndpointRequest {
   // Required. The resource name of the Location to create the IndexEndpoint in.
   // Format: `projects/{project}/locations/{location}`
@@ -153,7 +160,8 @@ message CreateIndexEndpointOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
+// Request message for
+// [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]
 message GetIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource.
   // Format:
@@ -166,10 +174,11 @@ message GetIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+// Request message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsRequest {
-  // Required. The resource name of the Location from which to list the IndexEndpoints.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location from which to list the
+  // IndexEndpoints. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -177,8 +186,8 @@ message ListIndexEndpointsRequest {
     }
   ];
 
-  // Optional. An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
+  // Optional. An expression for filtering the results of the request. For field
+  // names both snake_case and camelCase are supported.
   //
   //   * `index_endpoint` supports = and !=. `index_endpoint` represents the
   //      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
@@ -202,34 +211,44 @@ message ListIndexEndpointsRequest {
 
   // Optional. The standard list page token.
   // Typically obtained via
-  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
-  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
+  // [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token]
+  // of the previous
+  // [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints]
+  // call.
   string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Mask specifying which fields to read.
-  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask read_mask = 5
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
+// Response message for
+// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].
 message ListIndexEndpointsResponse {
   // List of IndexEndpoints in the requested page.
   repeated IndexEndpoint index_endpoints = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
+// Request message for
+// [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].
 message UpdateIndexEndpointRequest {
   // Required. The IndexEndpoint which replaces the resource on the server.
   IndexEndpoint index_endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
+// Request message for
+// [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].
 message DeleteIndexEndpointRequest {
   // Required. The name of the IndexEndpoint resource to be deleted.
   // Format:
@@ -242,10 +261,11 @@ message DeleteIndexEndpointRequest {
   ];
 }
 
-// Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+// Request message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
 message DeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -258,13 +278,15 @@ message DeployIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+// Response message for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
 message DeployIndexResponse {
   // The DeployedIndex that had been deployed in the IndexEndpoint.
   DeployedIndex deployed_index = 1;
 }
 
-// Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].
 message DeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
@@ -273,10 +295,11 @@ message DeployIndexOperationMetadata {
   string deployed_index_id = 2;
 }
 
-// Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+// Request message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
 message UndeployIndexRequest {
-  // Required. The name of the IndexEndpoint resource from which to undeploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource from which to undeploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -285,25 +308,27 @@ message UndeployIndexRequest {
     }
   ];
 
-  // Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
+  // Required. The ID of the DeployedIndex to be undeployed from the
+  // IndexEndpoint.
   string deployed_index_id = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
-message UndeployIndexResponse {
+// Response message for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+message UndeployIndexResponse {}
 
-}
-
-// Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
+// Runtime operation information for
+// [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].
 message UndeployIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+// Request message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexRequest {
-  // Required. The name of the IndexEndpoint resource into which to deploy an Index.
-  // Format:
+  // Required. The name of the IndexEndpoint resource into which to deploy an
+  // Index. Format:
   // `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
   string index_endpoint = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -318,7 +343,8 @@ message MutateDeployedIndexRequest {
   DeployedIndex deployed_index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
+// Response message for
+// [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].
 message MutateDeployedIndexResponse {
   // The DeployedIndex that had been updated in the IndexEndpoint.
   DeployedIndex deployed_index = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
index 813f648c93f5..68bc40488852 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
@@ -36,7 +36,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for creating and managing Vertex AI's Index resources.
 service IndexService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates an Index.
   rpc CreateIndex(CreateIndexRequest) returns (google.longrunning.Operation) {
@@ -82,7 +83,8 @@ service IndexService {
 
   // Deletes an Index.
   // An Index can only be deleted when all its
-  // [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
+  // [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes]
+  // had been undeployed.
   rpc DeleteIndex(DeleteIndexRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/indexes/*}"
@@ -95,7 +97,8 @@ service IndexService {
   }
 
   // Add/update Datapoints into an Index.
-  rpc UpsertDatapoints(UpsertDatapointsRequest) returns (UpsertDatapointsResponse) {
+  rpc UpsertDatapoints(UpsertDatapointsRequest)
+      returns (UpsertDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{index=projects/*/locations/*/indexes/*}:upsertDatapoints"
       body: "*"
@@ -103,7 +106,8 @@ service IndexService {
   }
 
   // Remove Datapoints from an Index.
-  rpc RemoveDatapoints(RemoveDatapointsRequest) returns (RemoveDatapointsResponse) {
+  rpc RemoveDatapoints(RemoveDatapointsRequest)
+      returns (RemoveDatapointsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{index=projects/*/locations/*/indexes/*}:removeDatapoints"
       body: "*"
@@ -111,7 +115,8 @@ service IndexService {
   }
 }
 
-// Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+// Request message for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
 message CreateIndexRequest {
   // Required. The resource name of the Location to create the Index in.
   // Format: `projects/{project}/locations/{location}`
@@ -126,16 +131,19 @@ message CreateIndexRequest {
   Index index = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
+// Runtime operation information for
+// [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].
 message CreateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
+// Request message for
+// [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]
 message GetIndexRequest {
   // Required. The name of the Index resource.
   // Format:
@@ -148,7 +156,8 @@ message GetIndexRequest {
   ];
 }
 
-// Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+// Request message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
 message ListIndexesRequest {
   // Required. The resource name of the Location from which to list the Indexes.
   // Format: `projects/{project}/locations/{location}`
@@ -167,44 +176,54 @@ message ListIndexesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
-  // [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
+  // [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
+  // of the previous
+  // [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
+// Response message for
+// [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].
 message ListIndexesResponse {
   // List of indexes in the requested page.
   repeated Index indexes = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+// Request message for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
 message UpdateIndexRequest {
   // Required. The Index which updates the resource on the server.
   Index index = 1 [(google.api.field_behavior) = REQUIRED];
 
   // The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
   google.protobuf.FieldMask update_mask = 2;
 }
 
-// Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
+// Runtime operation information for
+// [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].
 message UpdateIndexOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 
   // The operation metadata with regard to Matching Engine Index operation.
-  NearestNeighborSearchOperationMetadata nearest_neighbor_search_operation_metadata = 2;
+  NearestNeighborSearchOperationMetadata
+      nearest_neighbor_search_operation_metadata = 2;
 }
 
-// Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
+// Request message for
+// [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].
 message DeleteIndexRequest {
   // Required. The name of the Index resource to be deleted.
   // Format:
@@ -217,7 +236,8 @@ message DeleteIndexRequest {
   ];
 }
 
-// Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+// Request message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
 message UpsertDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -233,12 +253,12 @@ message UpsertDatapointsRequest {
   repeated IndexDatapoint datapoints = 2;
 }
 
-// Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
-message UpsertDatapointsResponse {
+// Response message for
+// [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]
+message UpsertDatapointsResponse {}
 
-}
-
-// Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+// Request message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
 message RemoveDatapointsRequest {
   // Required. The name of the Index resource to be updated.
   // Format:
@@ -254,10 +274,9 @@ message RemoveDatapointsRequest {
   repeated string datapoint_ids = 2;
 }
 
-// Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
-message RemoveDatapointsResponse {
-
-}
+// Response message for
+// [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]
+message RemoveDatapointsResponse {}
 
 // Runtime operation metadata with regard to Matching Engine Index.
 message NearestNeighborSearchOperationMetadata {
@@ -325,9 +344,10 @@ message NearestNeighborSearchOperationMetadata {
 
   // The validation stats of the content (per file) to be inserted or
   // updated on the Matching Engine Index resource. Populated if
-  // contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
-  // that, currently for those files that are broken or has unsupported file
-  // format, we will not have the stats for those files.
+  // contentsDeltaUri is provided as part of
+  // [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please
+  // note that, currently for those files that are broken or has unsupported
+  // file format, we will not have the stats for those files.
   repeated ContentValidationStats content_validation_stats = 1;
 
   // The ingested data size in bytes.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
index f571bb62f745..2b52b83aeb5b 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
@@ -48,7 +48,8 @@ message GcsSource {
 
 // The Google Cloud Storage location where the output is to be written to.
 message GcsDestination {
-  // Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+  // Required. Google Cloud Storage URI to output directory. If the uri doesn't
+  // end with
   // '/', a '/' will be automatically appended. The directory is created if it
   // doesn't exist.
   string output_uri_prefix = 1 [(google.api.field_behavior) = REQUIRED];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
index 9095e1e28937..ec07d5fd4aac 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
@@ -42,7 +42,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for creating and managing Vertex AI's jobs.
 service JobService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a CustomJob. A created CustomJob right away
   // will be attempted to be run.
@@ -71,7 +72,8 @@ service JobService {
   }
 
   // Deletes a CustomJob.
-  rpc DeleteCustomJob(DeleteCustomJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteCustomJob(DeleteCustomJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/customJobs/*}"
     };
@@ -85,13 +87,16 @@ service JobService {
   // Cancels a CustomJob.
   // Starts asynchronous cancellation on the CustomJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the CustomJob is not deleted; instead it becomes a job with
-  // a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to
-  // `CANCELLED`.
+  // a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value
+  // with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
+  // to `Code.CANCELLED`, and
+  // [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set
+  // to `CANCELLED`.
   rpc CancelCustomJob(CancelCustomJobRequest) returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/customJobs/*}:cancel"
@@ -101,7 +106,8 @@ service JobService {
   }
 
   // Creates a DataLabelingJob.
-  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest) returns (DataLabelingJob) {
+  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest)
+      returns (DataLabelingJob) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/dataLabelingJobs"
       body: "data_labeling_job"
@@ -118,7 +124,8 @@ service JobService {
   }
 
   // Lists DataLabelingJobs in a Location.
-  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest) returns (ListDataLabelingJobsResponse) {
+  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest)
+      returns (ListDataLabelingJobsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/dataLabelingJobs"
     };
@@ -126,7 +133,8 @@ service JobService {
   }
 
   // Deletes a DataLabelingJob.
-  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}"
     };
@@ -138,7 +146,8 @@ service JobService {
   }
 
   // Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
-  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest) returns (google.protobuf.Empty) {
+  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}:cancel"
       body: "*"
@@ -147,7 +156,8 @@ service JobService {
   }
 
   // Creates a HyperparameterTuningJob
-  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
       body: "hyperparameter_tuning_job"
@@ -156,7 +166,8 @@ service JobService {
   }
 
   // Gets a HyperparameterTuningJob
-  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest)
+      returns (HyperparameterTuningJob) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -164,7 +175,8 @@ service JobService {
   }
 
   // Lists HyperparameterTuningJobs in a Location.
-  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest) returns (ListHyperparameterTuningJobsResponse) {
+  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest)
+      returns (ListHyperparameterTuningJobsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
     };
@@ -172,7 +184,8 @@ service JobService {
   }
 
   // Deletes a HyperparameterTuningJob.
-  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
     };
@@ -186,14 +199,19 @@ service JobService {
   // Cancels a HyperparameterTuningJob.
   // Starts asynchronous cancellation on the HyperparameterTuningJob. The server
   // makes a best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On successful cancellation,
   // the HyperparameterTuningJob is not deleted; instead it becomes a job with
-  // a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
-  // of 1, corresponding to `Code.CANCELLED`, and
-  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`.
-  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest) returns (google.protobuf.Empty) {
+  // a
+  // [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state]
+  // is set to `CANCELLED`.
+  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}:cancel"
       body: "*"
@@ -203,7 +221,8 @@ service JobService {
 
   // Creates a BatchPredictionJob. A BatchPredictionJob once created will
   // right away be attempted to start.
-  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/batchPredictionJobs"
       body: "batch_prediction_job"
@@ -212,7 +231,8 @@ service JobService {
   }
 
   // Gets a BatchPredictionJob
-  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest) returns (BatchPredictionJob) {
+  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest)
+      returns (BatchPredictionJob) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -220,7 +240,8 @@ service JobService {
   }
 
   // Lists BatchPredictionJobs in a Location.
-  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest) returns (ListBatchPredictionJobsResponse) {
+  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest)
+      returns (ListBatchPredictionJobsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/batchPredictionJobs"
     };
@@ -229,7 +250,8 @@ service JobService {
 
   // Deletes a BatchPredictionJob. Can only be called on jobs that already
   // finished.
-  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/batchPredictionJobs/*}"
     };
@@ -244,13 +266,16 @@ service JobService {
   //
   // Starts asynchronous cancellation on the BatchPredictionJob. The server
   // makes the best effort to cancel the job, but success is not
-  // guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // job completed despite cancellation. On a successful cancellation,
   // the BatchPredictionJob is not deleted;instead its
-  // [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
-  // outputted by the job are not deleted.
-  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest) returns (google.protobuf.Empty) {
+  // [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state]
+  // is set to `CANCELLED`. Any files already outputted by the job are not
+  // deleted.
+  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/batchPredictionJobs/*}:cancel"
       body: "*"
@@ -260,25 +285,32 @@ service JobService {
 
   // Creates a ModelDeploymentMonitoringJob. It will run periodically on a
   // configured interval.
-  rpc CreateModelDeploymentMonitoringJob(CreateModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc CreateModelDeploymentMonitoringJob(
+      CreateModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "parent,model_deployment_monitoring_job";
+    option (google.api.method_signature) =
+        "parent,model_deployment_monitoring_job";
   }
 
   // Searches Model Monitoring Statistics generated within a given time window.
-  rpc SearchModelDeploymentMonitoringStatsAnomalies(SearchModelDeploymentMonitoringStatsAnomaliesRequest) returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
+  rpc SearchModelDeploymentMonitoringStatsAnomalies(
+      SearchModelDeploymentMonitoringStatsAnomaliesRequest)
+      returns (SearchModelDeploymentMonitoringStatsAnomaliesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{model_deployment_monitoring_job=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:searchModelDeploymentMonitoringStatsAnomalies"
       body: "*"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,deployed_model_id";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,deployed_model_id";
   }
 
   // Gets a ModelDeploymentMonitoringJob.
-  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest) returns (ModelDeploymentMonitoringJob) {
+  rpc GetModelDeploymentMonitoringJob(GetModelDeploymentMonitoringJobRequest)
+      returns (ModelDeploymentMonitoringJob) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -286,7 +318,9 @@ service JobService {
   }
 
   // Lists ModelDeploymentMonitoringJobs in a Location.
-  rpc ListModelDeploymentMonitoringJobs(ListModelDeploymentMonitoringJobsRequest) returns (ListModelDeploymentMonitoringJobsResponse) {
+  rpc ListModelDeploymentMonitoringJobs(
+      ListModelDeploymentMonitoringJobsRequest)
+      returns (ListModelDeploymentMonitoringJobsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/modelDeploymentMonitoringJobs"
     };
@@ -294,12 +328,15 @@ service JobService {
   }
 
   // Updates a ModelDeploymentMonitoringJob.
-  rpc UpdateModelDeploymentMonitoringJob(UpdateModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc UpdateModelDeploymentMonitoringJob(
+      UpdateModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1beta1/{model_deployment_monitoring_job.name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
       body: "model_deployment_monitoring_job"
     };
-    option (google.api.method_signature) = "model_deployment_monitoring_job,update_mask";
+    option (google.api.method_signature) =
+        "model_deployment_monitoring_job,update_mask";
     option (google.longrunning.operation_info) = {
       response_type: "ModelDeploymentMonitoringJob"
       metadata_type: "UpdateModelDeploymentMonitoringJobOperationMetadata"
@@ -307,7 +344,9 @@ service JobService {
   }
 
   // Deletes a ModelDeploymentMonitoringJob.
-  rpc DeleteModelDeploymentMonitoringJob(DeleteModelDeploymentMonitoringJobRequest) returns (google.longrunning.Operation) {
+  rpc DeleteModelDeploymentMonitoringJob(
+      DeleteModelDeploymentMonitoringJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}"
     };
@@ -320,8 +359,11 @@ service JobService {
 
   // Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
   // makes a best effort to cancel the job. Will mark
-  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
-  rpc PauseModelDeploymentMonitoringJob(PauseModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  // [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state]
+  // to 'PAUSED'.
+  rpc PauseModelDeploymentMonitoringJob(
+      PauseModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:pause"
       body: "*"
@@ -332,7 +374,9 @@ service JobService {
   // Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
   // next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
   // resumed.
-  rpc ResumeModelDeploymentMonitoringJob(ResumeModelDeploymentMonitoringJobRequest) returns (google.protobuf.Empty) {
+  rpc ResumeModelDeploymentMonitoringJob(
+      ResumeModelDeploymentMonitoringJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}:resume"
       body: "*"
@@ -341,7 +385,8 @@ service JobService {
   }
 }
 
-// Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
+// Request message for
+// [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].
 message CreateCustomJobRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -356,7 +401,8 @@ message CreateCustomJobRequest {
   CustomJob custom_job = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
+// Request message for
+// [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].
 message GetCustomJobRequest {
   // Required. The name of the CustomJob resource.
   // Format:
@@ -369,7 +415,8 @@ message GetCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
+// Request message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].
 message ListCustomJobsRequest {
   // Required. The resource name of the Location to list the CustomJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -407,25 +454,31 @@ message ListCustomJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
-  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
+  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
+// Response message for
+// [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]
 message ListCustomJobsResponse {
   // List of CustomJobs in the requested page.
   repeated CustomJob custom_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
+// Request message for
+// [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].
 message DeleteCustomJobRequest {
   // Required. The name of the CustomJob resource to be deleted.
   // Format:
@@ -438,7 +491,8 @@ message DeleteCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
+// Request message for
+// [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].
 message CancelCustomJobRequest {
   // Required. The name of the CustomJob to cancel.
   // Format:
@@ -451,7 +505,8 @@ message CancelCustomJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
+// Request message for
+// [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].
 message CreateDataLabelingJobRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -463,10 +518,12 @@ message CreateDataLabelingJobRequest {
   ];
 
   // Required. The DataLabelingJob to create.
-  DataLabelingJob data_labeling_job = 2 [(google.api.field_behavior) = REQUIRED];
+  DataLabelingJob data_labeling_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
+// Request message for
+// [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].
 message GetDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -479,7 +536,8 @@ message GetDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+// Request message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsRequest {
   // Required. The parent of the DataLabelingJob.
   // Format: `projects/{project}/locations/{location}`
@@ -530,7 +588,8 @@ message ListDataLabelingJobsRequest {
   string order_by = 6;
 }
 
-// Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
+// Response message for
+// [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].
 message ListDataLabelingJobsResponse {
   // A list of DataLabelingJobs that matches the specified filter in the
   // request.
@@ -540,7 +599,8 @@ message ListDataLabelingJobsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
+// Request message for
+// [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].
 message DeleteDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob to be deleted.
   // Format:
@@ -553,7 +613,8 @@ message DeleteDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
+// Request message for
+// [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].
 message CancelDataLabelingJobRequest {
   // Required. The name of the DataLabelingJob.
   // Format:
@@ -566,10 +627,12 @@ message CancelDataLabelingJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
+// Request message for
+// [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].
 message CreateHyperparameterTuningJobRequest {
-  // Required. The resource name of the Location to create the HyperparameterTuningJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // HyperparameterTuningJob in. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -578,10 +641,12 @@ message CreateHyperparameterTuningJobRequest {
   ];
 
   // Required. The HyperparameterTuningJob to create.
-  HyperparameterTuningJob hyperparameter_tuning_job = 2 [(google.api.field_behavior) = REQUIRED];
+  HyperparameterTuningJob hyperparameter_tuning_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
+// Request message for
+// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].
 message GetHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource.
   // Format:
@@ -594,10 +659,12 @@ message GetHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
+// Request message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].
 message ListHyperparameterTuningJobsRequest {
-  // Required. The resource name of the Location to list the HyperparameterTuningJobs
-  // from. Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the
+  // HyperparameterTuningJobs from. Format:
+  // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -632,27 +699,33 @@ message ListHyperparameterTuningJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
-  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
+  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
+// Response message for
+// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]
 message ListHyperparameterTuningJobsResponse {
   // List of HyperparameterTuningJobs in the requested page.
-  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]
+  // of the jobs will be not be returned.
   repeated HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
+// Request message for
+// [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].
 message DeleteHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob resource to be deleted.
   // Format:
@@ -665,7 +738,8 @@ message DeleteHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
+// Request message for
+// [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].
 message CancelHyperparameterTuningJobRequest {
   // Required. The name of the HyperparameterTuningJob to cancel.
   // Format:
@@ -678,10 +752,11 @@ message CancelHyperparameterTuningJobRequest {
   ];
 }
 
-// Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
+// Request message for
+// [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].
 message CreateBatchPredictionJobRequest {
-  // Required. The resource name of the Location to create the BatchPredictionJob in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the
+  // BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -690,10 +765,12 @@ message CreateBatchPredictionJobRequest {
   ];
 
   // Required. The BatchPredictionJob to create.
-  BatchPredictionJob batch_prediction_job = 2 [(google.api.field_behavior) = REQUIRED];
+  BatchPredictionJob batch_prediction_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
+// Request message for
+// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].
 message GetBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource.
   // Format:
@@ -706,7 +783,8 @@ message GetBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
+// Request message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].
 message ListBatchPredictionJobsRequest {
   // Required. The resource name of the Location to list the BatchPredictionJobs
   // from. Format: `projects/{project}/locations/{location}`
@@ -745,26 +823,31 @@ message ListBatchPredictionJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
-  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
+  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token]
+  // of the previous
+  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
+// Response message for
+// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]
 message ListBatchPredictionJobsResponse {
   // List of BatchPredictionJobs in the requested page.
   repeated BatchPredictionJob batch_prediction_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
+// Request message for
+// [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].
 message DeleteBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob resource to be deleted.
   // Format:
@@ -777,7 +860,8 @@ message DeleteBatchPredictionJobRequest {
   ];
 }
 
-// Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
+// Request message for
+// [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].
 message CancelBatchPredictionJobRequest {
   // Required. The name of the BatchPredictionJob to cancel.
   // Format:
@@ -803,7 +887,8 @@ message CreateModelDeploymentMonitoringJobRequest {
   ];
 
   // Required. The ModelDeploymentMonitoringJob to create
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
@@ -814,11 +899,12 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
     ModelDeploymentMonitoringObjectiveType type = 1;
 
     // If set, all attribution scores between
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
-    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
-    // fetched, and page token doesn't take effect in this case.
-    // Only used to retrieve attribution score for the top Features which has
-    // the highest attribution score in the latest monitoring run.
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time]
+    // and
+    // [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time]
+    // are fetched, and page token doesn't take effect in this case. Only used
+    // to retrieve attribution score for the top Features which has the highest
+    // attribution score in the latest monitoring run.
     int32 top_feature_count = 4;
   }
 
@@ -843,7 +929,8 @@ message SearchModelDeploymentMonitoringStatsAnomaliesRequest {
   string feature_display_name = 3;
 
   // Required. Objectives of the stats to retrieve.
-  repeated StatsAnomaliesObjective objectives = 4 [(google.api.field_behavior) = REQUIRED];
+  repeated StatsAnomaliesObjective objectives = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // The standard list page size.
   int32 page_size = 5;
@@ -949,18 +1036,18 @@ message ListModelDeploymentMonitoringJobsResponse {
 // Request message for
 // [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].
 message UpdateModelDeploymentMonitoringJobRequest {
-  // Required. The model monitoring configuration which replaces the resource on the
-  // server.
-  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // Required. The update mask is used to specify the fields to be overwritten in the
-  // ModelDeploymentMonitoringJob resource by the update.
-  // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then only the non-empty fields present in the
-  // request will be overwritten. Set the update_mask to `*` to override all
-  // fields.
-  // For the objective config, the user can either provide the update mask for
+  // Required. The model monitoring configuration which replaces the resource on
+  // the server.
+  ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1
+      [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask is used to specify the fields to be overwritten
+  // in the ModelDeploymentMonitoringJob resource by the update. The fields
+  // specified in the update_mask are relative to the resource, not the full
+  // request. A field will be overwritten if it is in the mask. If the user does
+  // not provide a mask then only the non-empty fields present in the request
+  // will be overwritten. Set the update_mask to `*` to override all fields. For
+  // the objective config, the user can either provide the update mask for
   // model_deployment_monitoring_objective_configs or any combination of its
   // nested fields, such as:
   // model_deployment_monitoring_objective_configs.objective_config.training_dataset.
@@ -980,7 +1067,8 @@ message UpdateModelDeploymentMonitoringJobRequest {
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
   //   * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
   //   * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
index fa1d1faaf53c..fcf75e357f54 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
@@ -37,14 +37,18 @@ message MachineSpec {
   // See the [list of machine types supported for custom
   // training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
   //
-  // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
-  // [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
+  // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
+  // field is optional, and the default value is `n1-standard-2`. For
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
+  // as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
+  // this field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The type of accelerator(s) that may be attached to the machine as per
+  // Immutable. The type of accelerator(s) that may be attached to the machine
+  // as per
   // [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
-  AcceleratorType accelerator_type = 2 [(google.api.field_behavior) = IMMUTABLE];
+  AcceleratorType accelerator_type = 2
+      [(google.api.field_behavior) = IMMUTABLE];
 
   // The number of accelerators to attach to the machine.
   int32 accelerator_count = 3;
@@ -53,14 +57,16 @@ message MachineSpec {
 // A description of resources that are dedicated to a DeployedModel, and
 // that need a higher degree of manual configuration.
 message DedicatedResources {
-  // Required. Immutable. The specification of a single machine used by the prediction.
+  // Required. Immutable. The specification of a single machine used by the
+  // prediction.
   MachineSpec machine_spec = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
-  // deployed on. This value must be greater than or equal to 1.
+  // Required. Immutable. The minimum number of machine replicas this
+  // DeployedModel will be always deployed on. This value must be greater than
+  // or equal to 1.
   //
   // If traffic against the DeployedModel increases, it may dynamically be
   // deployed onto more replicas, and as traffic decreases, some of these extra
@@ -70,14 +76,15 @@ message DedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
-  // default value.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, will use
+  // [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count]
+  // as the default value.
   //
   // The value of this field impacts the charge against Vertex CPU and GPU
   // quotas. Specifically, you will be charged for (max_replica_count *
@@ -90,44 +97,49 @@ message DedicatedResources {
   // target value (default to 60 if not set). At most one entry is allowed per
   // metric.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-  // above 0, the autoscaling will be based on both CPU utilization and
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+  // is above 0, the autoscaling will be based on both CPU utilization and
   // accelerator's duty cycle metrics and scale up when either metrics exceeds
   // its target value while scale down if both metrics are under their target
   // value. The default target value is 60 for both metrics.
   //
-  // If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
-  // 0, the autoscaling will be based on CPU utilization metric only with
+  // If
+  // [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count]
+  // is 0, the autoscaling will be based on CPU utilization metric only with
   // default target value 60 if not explicitly set.
   //
   // For example, in the case of Online Prediction, if you want to override
   // target CPU utilization to 80, you should set
   // [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
   // to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
-  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
-  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4 [(google.api.field_behavior) = IMMUTABLE];
+  // [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target]
+  // to `80`.
+  repeated AutoscalingMetricSpec autoscaling_metric_specs = 4
+      [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // A description of resources that to large degree are decided by Vertex AI,
 // and require only a modest additional configuration.
 // Each Model supporting these resources documents its specific guidelines.
 message AutomaticResources {
-  // Immutable. The minimum number of replicas this DeployedModel will be always deployed
-  // on. If traffic against it increases, it may dynamically be deployed onto
-  // more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
-  // of these extra replicas may be freed.
-  // If the requested value is too large, the deployment will error.
+  // Immutable. The minimum number of replicas this DeployedModel will be always
+  // deployed on. If traffic against it increases, it may dynamically be
+  // deployed onto more replicas up to
+  // [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
+  // and as traffic decreases, some of these extra replicas may be freed. If the
+  // requested value is too large, the deployment will error.
   int32 min_replica_count = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
-  // the traffic against it increases. If the requested value is too large,
-  // the deployment will error, but if deployment succeeds then the ability
-  // to scale the model to that many replicas is guaranteed (barring service
-  // outages). If traffic against the DeployedModel increases beyond what its
-  // replicas at maximum may handle, a portion of the traffic will be dropped.
-  // If this value is not provided, a no upper bound for scaling under heavy
-  // traffic will be assume, though Vertex AI may be unable to scale beyond
-  // certain replica number.
+  // Immutable. The maximum number of replicas this DeployedModel may be
+  // deployed on when the traffic against it increases. If the requested value
+  // is too large, the deployment will error, but if deployment succeeds then
+  // the ability to scale the model to that many replicas is guaranteed (barring
+  // service outages). If traffic against the DeployedModel increases beyond
+  // what its replicas at maximum may handle, a portion of the traffic will be
+  // dropped. If this value is not provided, a no upper bound for scaling under
+  // heavy traffic will be assume, though Vertex AI may be unable to scale
+  // beyond certain replica number.
   int32 max_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 }
 
@@ -140,21 +152,21 @@ message BatchDedicatedResources {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. The number of machine replicas used at the start of the batch operation.
-  // If not set, Vertex AI decides starting number, not greater than
+  // Immutable. The number of machine replicas used at the start of the batch
+  // operation. If not set, Vertex AI decides starting number, not greater than
   // [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
   int32 starting_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. The maximum number of machine replicas the batch operation may be scaled
-  // to. The default value is 10.
+  // Immutable. The maximum number of machine replicas the batch operation may
+  // be scaled to. The default value is 10.
   int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
 }
 
 // Statistics information about resource consumption.
 message ResourcesConsumed {
-  // Output only. The number of replica hours used. Note that many replicas may run in
-  // parallel, and additionally any given work may be queued for some time.
-  // Therefore this value is not strictly related to wall time.
+  // Output only. The number of replica hours used. Note that many replicas may
+  // run in parallel, and additionally any given work may be queued for some
+  // time. Therefore this value is not strictly related to wall time.
   double replica_hours = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
@@ -179,8 +191,8 @@ message NfsMount {
   // the source mount path in the form of `server:path`
   string path = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Destination mount path. The NFS will be mounted for the user under
-  // /mnt/nfs/
+  // Required. Destination mount path. The NFS will be mounted for the user
+  // under /mnt/nfs/
   string mount_point = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto
index 5498d89d4a3c..189e88f21d64 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto
@@ -28,11 +28,11 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Manual batch tuning parameters.
 message ManualBatchTuningParameters {
-  // Immutable. The number of the records (e.g. instances) of the operation given in
-  // each batch to a machine replica. Machine type, and size of a single
-  // record should be considered when setting this parameter, higher value
-  // speeds up the batch operation's execution, but too high value will result
-  // in a whole batch not fitting in a machine's memory, and the whole
+  // Immutable. The number of the records (e.g. instances) of the operation
+  // given in each batch to a machine replica. Machine type, and size of a
+  // single record should be considered when setting this parameter, higher
+  // value speeds up the batch operation's execution, but too high value will
+  // result in a whole batch not fitting in a machine's memory, and the whole
   // operation will fail.
   // The default value is 64.
   int32 batch_size = 1 [(google.api.field_behavior) = IMMUTABLE];
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_schema.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_schema.proto
index 0623a3ee9755..fbe45dff4e05 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_schema.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_schema.proto
@@ -58,9 +58,9 @@ message MetadataSchema {
   // allow to order/compare different versions. Example: 1.0.0, 1.0.1, etc.
   string schema_version = 2;
 
-  // Required. The raw YAML string representation of the MetadataSchema. The combination
-  // of [MetadataSchema.version] and the schema name given by `title` in
-  // [MetadataSchema.schema] must be unique within a MetadataStore.
+  // Required. The raw YAML string representation of the MetadataSchema. The
+  // combination of [MetadataSchema.version] and the schema name given by
+  // `title` in [MetadataSchema.schema] must be unique within a MetadataStore.
   //
   // The schema is defined as an OpenAPI 3.0.2
   // [MetadataSchema
@@ -72,7 +72,8 @@ message MetadataSchema {
   MetadataSchemaType schema_type = 4;
 
   // Output only. Timestamp when this MetadataSchema was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Description of the Metadata Schema
   string description = 6;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_service.proto
index 9e1767a09929..215b853170ee 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_service.proto
@@ -42,15 +42,18 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // Service for reading and writing metadata entries.
 service MetadataService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Initializes a MetadataStore, including allocation of resources.
-  rpc CreateMetadataStore(CreateMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc CreateMetadataStore(CreateMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/metadataStores"
       body: "metadata_store"
     };
-    option (google.api.method_signature) = "parent,metadata_store,metadata_store_id";
+    option (google.api.method_signature) =
+        "parent,metadata_store,metadata_store_id";
     option (google.longrunning.operation_info) = {
       response_type: "MetadataStore"
       metadata_type: "CreateMetadataStoreOperationMetadata"
@@ -66,7 +69,8 @@ service MetadataService {
   }
 
   // Lists MetadataStores for a Location.
-  rpc ListMetadataStores(ListMetadataStoresRequest) returns (ListMetadataStoresResponse) {
+  rpc ListMetadataStores(ListMetadataStoresRequest)
+      returns (ListMetadataStoresResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/metadataStores"
     };
@@ -75,7 +79,8 @@ service MetadataService {
 
   // Deletes a single MetadataStore and all its child resources (Artifacts,
   // Executions, and Contexts).
-  rpc DeleteMetadataStore(DeleteMetadataStoreRequest) returns (google.longrunning.Operation) {
+  rpc DeleteMetadataStore(DeleteMetadataStoreRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*}"
     };
@@ -121,7 +126,8 @@ service MetadataService {
   }
 
   // Deletes an Artifact.
-  rpc DeleteArtifact(DeleteArtifactRequest) returns (google.longrunning.Operation) {
+  rpc DeleteArtifact(DeleteArtifactRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}"
     };
@@ -133,7 +139,8 @@ service MetadataService {
   }
 
   // Purges Artifacts.
-  rpc PurgeArtifacts(PurgeArtifactsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeArtifacts(PurgeArtifactsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/artifacts:purge"
       body: "*"
@@ -180,7 +187,8 @@ service MetadataService {
   }
 
   // Deletes a stored Context.
-  rpc DeleteContext(DeleteContextRequest) returns (google.longrunning.Operation) {
+  rpc DeleteContext(DeleteContextRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*/contexts/*}"
     };
@@ -192,7 +200,8 @@ service MetadataService {
   }
 
   // Purges Contexts.
-  rpc PurgeContexts(PurgeContextsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeContexts(PurgeContextsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/contexts:purge"
       body: "*"
@@ -207,7 +216,8 @@ service MetadataService {
   // Adds a set of Artifacts and Executions to a Context. If any of the
   // Artifacts or Executions have already been added to a Context, they are
   // simply skipped.
-  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest) returns (AddContextArtifactsAndExecutionsResponse) {
+  rpc AddContextArtifactsAndExecutions(AddContextArtifactsAndExecutionsRequest)
+      returns (AddContextArtifactsAndExecutionsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextArtifactsAndExecutions"
       body: "*"
@@ -220,7 +230,8 @@ service MetadataService {
   // simply skipped. If this call would create a cycle or cause any Context to
   // have more than 10 parents, the request will fail with an INVALID_ARGUMENT
   // error.
-  rpc AddContextChildren(AddContextChildrenRequest) returns (AddContextChildrenResponse) {
+  rpc AddContextChildren(AddContextChildrenRequest)
+      returns (AddContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:addContextChildren"
       body: "*"
@@ -231,7 +242,8 @@ service MetadataService {
   // Remove a set of children contexts from a parent Context. If any of the
   // child Contexts were NOT added to the parent Context, they are
   // simply skipped.
-  rpc RemoveContextChildren(RemoveContextChildrenRequest) returns (RemoveContextChildrenResponse) {
+  rpc RemoveContextChildren(RemoveContextChildrenRequest)
+      returns (RemoveContextChildrenResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:removeContextChildren"
       body: "*"
@@ -241,7 +253,8 @@ service MetadataService {
 
   // Retrieves Artifacts and Executions within the specified Context, connected
   // by Event edges and returned as a LineageSubgraph.
-  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryContextLineageSubgraph(QueryContextLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1beta1/{context=projects/*/locations/*/metadataStores/*/contexts/*}:queryContextLineageSubgraph"
     };
@@ -283,7 +296,8 @@ service MetadataService {
   }
 
   // Deletes an Execution.
-  rpc DeleteExecution(DeleteExecutionRequest) returns (google.longrunning.Operation) {
+  rpc DeleteExecution(DeleteExecutionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/metadataStores/*/executions/*}"
     };
@@ -295,7 +309,8 @@ service MetadataService {
   }
 
   // Purges Executions.
-  rpc PurgeExecutions(PurgeExecutionsRequest) returns (google.longrunning.Operation) {
+  rpc PurgeExecutions(PurgeExecutionsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/executions:purge"
       body: "*"
@@ -311,7 +326,8 @@ service MetadataService {
   // Artifact was used as an input or output for an Execution. If an Event
   // already exists between the Execution and the Artifact, the Event is
   // skipped.
-  rpc AddExecutionEvents(AddExecutionEventsRequest) returns (AddExecutionEventsResponse) {
+  rpc AddExecutionEvents(AddExecutionEventsRequest)
+      returns (AddExecutionEventsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:addExecutionEvents"
       body: "*"
@@ -322,7 +338,8 @@ service MetadataService {
   // Obtains the set of input and output Artifacts for this Execution, in the
   // form of LineageSubgraph that also contains the Execution and connecting
   // Events.
-  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest) returns (LineageSubgraph) {
+  rpc QueryExecutionInputsAndOutputs(QueryExecutionInputsAndOutputsRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1beta1/{execution=projects/*/locations/*/metadataStores/*/executions/*}:queryExecutionInputsAndOutputs"
     };
@@ -330,12 +347,14 @@ service MetadataService {
   }
 
   // Creates a MetadataSchema.
-  rpc CreateMetadataSchema(CreateMetadataSchemaRequest) returns (MetadataSchema) {
+  rpc CreateMetadataSchema(CreateMetadataSchemaRequest)
+      returns (MetadataSchema) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
       body: "metadata_schema"
     };
-    option (google.api.method_signature) = "parent,metadata_schema,metadata_schema_id";
+    option (google.api.method_signature) =
+        "parent,metadata_schema,metadata_schema_id";
   }
 
   // Retrieves a specific MetadataSchema.
@@ -347,7 +366,8 @@ service MetadataService {
   }
 
   // Lists MetadataSchemas.
-  rpc ListMetadataSchemas(ListMetadataSchemasRequest) returns (ListMetadataSchemasResponse) {
+  rpc ListMetadataSchemas(ListMetadataSchemasRequest)
+      returns (ListMetadataSchemasResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/metadataStores/*}/metadataSchemas"
     };
@@ -356,7 +376,8 @@ service MetadataService {
 
   // Retrieves lineage of an Artifact represented through Artifacts and
   // Executions connected by Event edges and returned as a LineageSubgraph.
-  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest) returns (LineageSubgraph) {
+  rpc QueryArtifactLineageSubgraph(QueryArtifactLineageSubgraphRequest)
+      returns (LineageSubgraph) {
     option (google.api.http) = {
       get: "/v1beta1/{artifact=projects/*/locations/*/metadataStores/*/artifacts/*}:queryArtifactLineageSubgraph"
     };
@@ -364,7 +385,8 @@ service MetadataService {
   }
 }
 
-// Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+// Request message for
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreRequest {
   // Required. The resource name of the Location where the MetadataStore should
   // be created.
@@ -390,13 +412,15 @@ message CreateMetadataStoreRequest {
   string metadata_store_id = 3;
 }
 
-// Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
+// Details of operations that perform
+// [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].
 message CreateMetadataStoreOperationMetadata {
   // Operation metadata for creating a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
+// Request message for
+// [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].
 message GetMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to retrieve.
   // Format:
@@ -409,7 +433,8 @@ message GetMetadataStoreRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+// Request message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
 message ListMetadataStoresRequest {
   // Required. The Location whose MetadataStores should be listed.
   // Format:
@@ -427,8 +452,8 @@ message ListMetadataStoresRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
-  // subsequent page.
+  // [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -436,18 +461,21 @@ message ListMetadataStoresRequest {
   string page_token = 3;
 }
 
-// Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
+// Response message for
+// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].
 message ListMetadataStoresResponse {
   // The MetadataStores found for the Location.
   repeated MetadataStore metadata_stores = 1;
 
   // A token, which can be sent as
-  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+// Request message for
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreRequest {
   // Required. The resource name of the MetadataStore to delete.
   // Format:
@@ -463,13 +491,15 @@ message DeleteMetadataStoreRequest {
   bool force = 2 [deprecated = true];
 }
 
-// Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
+// Details of operations that perform
+// [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].
 message DeleteMetadataStoreOperationMetadata {
   // Operation metadata for deleting a MetadataStore.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
+// Request message for
+// [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].
 message CreateArtifactRequest {
   // Required. The resource name of the MetadataStore where the Artifact should
   // be created.
@@ -495,7 +525,8 @@ message CreateArtifactRequest {
   string artifact_id = 3;
 }
 
-// Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
+// Request message for
+// [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].
 message GetArtifactRequest {
   // Required. The resource name of the Artifact to retrieve.
   // Format:
@@ -508,7 +539,8 @@ message GetArtifactRequest {
   ];
 }
 
-// Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+// Request message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
 message ListArtifactsRequest {
   // Required. The MetadataStore whose Artifacts should be listed.
   // Format:
@@ -524,7 +556,8 @@ message ListArtifactsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
+  // A page token, received from a previous
+  // [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -571,36 +604,42 @@ message ListArtifactsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
+// Response message for
+// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].
 message ListArtifactsResponse {
   // The Artifacts retrieved from the MetadataStore.
   repeated Artifact artifacts = 1;
 
-  // A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
+  // A token, which can be sent as
+  // [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
+// Request message for
+// [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].
 message UpdateArtifactRequest {
   // Required. The Artifact containing updates.
-  // The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
-  // be updated.
-  // Format:
+  // The Artifact's
+  // [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is
+  // used to identify the Artifact to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   Artifact artifact = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is
-  // created.
+  // If set to true, and the
+  // [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new
+  // [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
+// Request message for
+// [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].
 message DeleteArtifactRequest {
   // Required. The resource name of the Artifact to delete.
   // Format:
@@ -618,7 +657,8 @@ message DeleteArtifactRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+// Request message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsRequest {
   // Required. The metadata store to purge Artifacts from.
   // Format:
@@ -640,7 +680,8 @@ message PurgeArtifactsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+// Response message for
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsResponse {
   // The number of Artifacts that this request deleted (or, if `force` is false,
   // the number of Artifacts that will be deleted). This can be an estimate.
@@ -650,21 +691,22 @@ message PurgeArtifactsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Artifact"
-                                    }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
+// Details of operations that perform
+// [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].
 message PurgeArtifactsMetadata {
   // Operation metadata for purging Artifacts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
+// Request message for
+// [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].
 message CreateContextRequest {
-  // Required. The resource name of the MetadataStore where the Context should be
-  // created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the Context should
+  // be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -686,7 +728,8 @@ message CreateContextRequest {
   string context_id = 3;
 }
 
-// Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
+// Request message for
+// [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].
 message GetContextRequest {
   // Required. The resource name of the Context to retrieve.
   // Format:
@@ -699,7 +742,8 @@ message GetContextRequest {
   ];
 }
 
-// Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+// Request message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
 message ListContextsRequest {
   // Required. The MetadataStore whose Contexts should be listed.
   // Format:
@@ -715,7 +759,8 @@ message ListContextsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
+  // A page token, received from a previous
+  // [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -766,36 +811,41 @@ message ListContextsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
+// Response message for
+// [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].
 message ListContextsResponse {
   // The Contexts retrieved from the MetadataStore.
   repeated Context contexts = 1;
 
-  // A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
+  // A token, which can be sent as
+  // [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
+// Request message for
+// [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].
 message UpdateContextRequest {
   // Required. The Context containing updates.
-  // The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
-  // updated.
-  // Format:
+  // The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name]
+  // field is used to identify the Context to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   Context context = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
+  // If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context]
+  // is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] is
   // created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
+// Request message for
+// [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].
 message DeleteContextRequest {
   // Required. The resource name of the Context to delete.
   // Format:
@@ -817,7 +867,8 @@ message DeleteContextRequest {
   string etag = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+// Request message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
 message PurgeContextsRequest {
   // Required. The metadata store to purge Contexts from.
   // Format:
@@ -839,7 +890,8 @@ message PurgeContextsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+// Response message for
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
 message PurgeContextsResponse {
   // The number of Contexts that this request deleted (or, if `force` is false,
   // the number of Contexts that will be deleted). This can be an estimate.
@@ -849,21 +901,22 @@ message PurgeContextsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Context"
-                                    }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
+// Details of operations that perform
+// [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].
 message PurgeContextsMetadata {
   // Operation metadata for purging Contexts.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+// Request message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
 message AddContextArtifactsAndExecutionsRequest {
-  // Required. The resource name of the Context that the Artifacts and Executions
-  // belong to.
-  // Format:
+  // Required. The resource name of the Context that the Artifacts and
+  // Executions belong to. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
   string context = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -877,8 +930,8 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   repeated string artifacts = 2 [(google.api.resource_reference) = {
-                                   type: "aiplatform.googleapis.com/Artifact"
-                                 }];
+    type: "aiplatform.googleapis.com/Artifact"
+  }];
 
   // The resource names of the Executions to associate with the
   // Context.
@@ -886,16 +939,16 @@ message AddContextArtifactsAndExecutionsRequest {
   // Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   repeated string executions = 3 [(google.api.resource_reference) = {
-                                    type: "aiplatform.googleapis.com/Execution"
-                                  }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
-message AddContextArtifactsAndExecutionsResponse {
+// Response message for
+// [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].
+message AddContextArtifactsAndExecutionsResponse {}
 
-}
-
-// Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+// Request message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
 message AddContextChildrenRequest {
   // Required. The resource name of the parent Context.
   //
@@ -910,14 +963,13 @@ message AddContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
-message AddContextChildrenResponse {
-
-}
+// Response message for
+// [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].
+message AddContextChildrenResponse {}
 
 // Request message for
 // [MetadataService.DeleteContextChildrenRequest][].
@@ -935,16 +987,16 @@ message RemoveContextChildrenRequest {
 
   // The resource names of the child Contexts.
   repeated string child_contexts = 2 [(google.api.resource_reference) = {
-                                        type: "aiplatform.googleapis.com/Context"
-                                      }];
+    type: "aiplatform.googleapis.com/Context"
+  }];
 }
 
-// Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
-message RemoveContextChildrenResponse {
+// Response message for
+// [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].
+message RemoveContextChildrenResponse {}
 
-}
-
-// Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
+// Request message for
+// [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].
 message QueryContextLineageSubgraphRequest {
   // Required. The resource name of the Context whose Artifacts and Executions
   // should be retrieved as a LineageSubgraph.
@@ -962,7 +1014,8 @@ message QueryContextLineageSubgraphRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
+// Request message for
+// [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].
 message CreateExecutionRequest {
   // Required. The resource name of the MetadataStore where the Execution should
   // be created.
@@ -989,7 +1042,8 @@ message CreateExecutionRequest {
   string execution_id = 3;
 }
 
-// Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
+// Request message for
+// [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].
 message GetExecutionRequest {
   // Required. The resource name of the Execution to retrieve.
   // Format:
@@ -1002,7 +1056,8 @@ message GetExecutionRequest {
   ];
 }
 
-// Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+// Request message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
 message ListExecutionsRequest {
   // Required. The MetadataStore whose Executions should be listed.
   // Format:
@@ -1018,7 +1073,8 @@ message ListExecutionsRequest {
   // Must be in range 1-1000, inclusive. Defaults to 100.
   int32 page_size = 2;
 
-  // A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
+  // A page token, received from a previous
+  // [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
   // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other provided parameters must match the call that
@@ -1065,36 +1121,42 @@ message ListExecutionsRequest {
   string order_by = 5;
 }
 
-// Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
+// Response message for
+// [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].
 message ListExecutionsResponse {
   // The Executions retrieved from the MetadataStore.
   repeated Execution executions = 1;
 
-  // A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
+  // A token, which can be sent as
+  // [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
   // to retrieve the next page.
   // If this field is not populated, there are no subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
+// Request message for
+// [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].
 message UpdateExecutionRequest {
   // Required. The Execution containing updates.
-  // The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
-  // to be updated.
-  // Format:
+  // The Execution's
+  // [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is
+  // used to identify the Execution to be updated. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   Execution execution = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Optional. A FieldMask indicating which fields should be updated.
   // Functionality of this field is not yet supported.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = OPTIONAL];
 
-  // If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
-  // is created.
+  // If set to true, and the
+  // [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new
+  // [Execution][google.cloud.aiplatform.v1beta1.Execution] is created.
   bool allow_missing = 3;
 }
 
-// Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
+// Request message for
+// [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].
 message DeleteExecutionRequest {
   // Required. The resource name of the Execution to delete.
   // Format:
@@ -1112,7 +1174,8 @@ message DeleteExecutionRequest {
   string etag = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+// Request message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
 message PurgeExecutionsRequest {
   // Required. The metadata store to purge Executions from.
   // Format:
@@ -1134,7 +1197,8 @@ message PurgeExecutionsRequest {
   bool force = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+// Response message for
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
 message PurgeExecutionsResponse {
   // The number of Executions that this request deleted (or, if `force` is
   // false, the number of Executions that will be deleted). This can be an
@@ -1145,17 +1209,19 @@ message PurgeExecutionsResponse {
   // Only populated if `force` is set to false. The maximum number of samples is
   // 100 (it is possible to return fewer).
   repeated string purge_sample = 2 [(google.api.resource_reference) = {
-                                      type: "aiplatform.googleapis.com/Execution"
-                                    }];
+    type: "aiplatform.googleapis.com/Execution"
+  }];
 }
 
-// Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
+// Details of operations that perform
+// [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].
 message PurgeExecutionsMetadata {
   // Operation metadata for purging Executions.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+// Request message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
 message AddExecutionEventsRequest {
   // Required. The resource name of the Execution that the Events connect
   // Artifacts with.
@@ -1172,16 +1238,15 @@ message AddExecutionEventsRequest {
   repeated Event events = 2;
 }
 
-// Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
-message AddExecutionEventsResponse {
+// Response message for
+// [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].
+message AddExecutionEventsResponse {}
 
-}
-
-// Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
+// Request message for
+// [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].
 message QueryExecutionInputsAndOutputsRequest {
-  // Required. The resource name of the Execution whose input and output Artifacts should
-  // be retrieved as a LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Execution whose input and output
+  // Artifacts should be retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
   string execution = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1191,11 +1256,11 @@ message QueryExecutionInputsAndOutputsRequest {
   ];
 }
 
-// Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
+// Request message for
+// [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].
 message CreateMetadataSchemaRequest {
-  // Required. The resource name of the MetadataStore where the MetadataSchema should
-  // be created.
-  // Format:
+  // Required. The resource name of the MetadataStore where the MetadataSchema
+  // should be created. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -1218,7 +1283,8 @@ message CreateMetadataSchemaRequest {
   string metadata_schema_id = 3;
 }
 
-// Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
+// Request message for
+// [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].
 message GetMetadataSchemaRequest {
   // Required. The resource name of the MetadataSchema to retrieve.
   // Format:
@@ -1231,7 +1297,8 @@ message GetMetadataSchemaRequest {
   ];
 }
 
-// Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+// Request message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasRequest {
   // Required. The MetadataStore whose MetadataSchemas should be listed.
   // Format:
@@ -1249,8 +1316,8 @@ message ListMetadataSchemasRequest {
   int32 page_size = 2;
 
   // A page token, received from a previous
-  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
-  // next page.
+  // [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas]
+  // call. Provide this to retrieve the next page.
   //
   // When paginating, all other provided parameters must match the call that
   // provided the page token. (Otherwise the request will fail with
@@ -1261,22 +1328,24 @@ message ListMetadataSchemasRequest {
   string filter = 4;
 }
 
-// Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
+// Response message for
+// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].
 message ListMetadataSchemasResponse {
   // The MetadataSchemas found for the MetadataStore.
   repeated MetadataSchema metadata_schemas = 1;
 
   // A token, which can be sent as
-  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
-  // page. If this field is not populated, there are no subsequent pages.
+  // [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token]
+  // to retrieve the next page. If this field is not populated, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
+// Request message for
+// [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].
 message QueryArtifactLineageSubgraphRequest {
-  // Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
-  // LineageSubgraph.
-  // Format:
+  // Required. The resource name of the Artifact whose Lineage needs to be
+  // retrieved as a LineageSubgraph. Format:
   // `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
   //
   // The request may error with FAILED_PRECONDITION if the number of Artifacts,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_store.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_store.proto
index 2d8a19d3a1b3..7e6bcbcb8059 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_store.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_store.proto
@@ -47,10 +47,12 @@ message MetadataStore {
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MetadataStore was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Customer-managed encryption key spec for a Metadata Store. If set, this
   // Metadata Store and all sub-resources of this Metadata Store are secured
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
index bd8aa73013a6..e0995f3d37d3 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
@@ -65,9 +65,9 @@ message MigratableResource {
 
     // Full resource name of ml engine model Version.
     // Format: `projects/{project}/models/{model}/versions/{version}`.
-    string version = 2 [(google.api.resource_reference) = {
-                          type: "ml.googleapis.com/Version"
-                        }];
+    string version = 2 [
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
+    ];
   }
 
   // Represents one Model in automl.googleapis.com.
@@ -75,9 +75,9 @@ message MigratableResource {
     // Full resource name of automl Model.
     // Format:
     // `projects/{project}/locations/{location}/models/{model}`.
-    string model = 1 [(google.api.resource_reference) = {
-                        type: "automl.googleapis.com/Model"
-                      }];
+    string model = 1 [
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
+    ];
 
     // The Model's display name in automl.googleapis.com.
     string model_display_name = 3;
@@ -89,8 +89,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/locations/{location}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "automl.googleapis.com/Dataset"
-                        }];
+      type: "automl.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in automl.googleapis.com.
     string dataset_display_name = 4;
@@ -104,8 +104,8 @@ message MigratableResource {
       // Format:
       // `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
       string annotated_dataset = 1 [(google.api.resource_reference) = {
-                                      type: "datalabeling.googleapis.com/AnnotatedDataset"
-                                    }];
+        type: "datalabeling.googleapis.com/AnnotatedDataset"
+      }];
 
       // The AnnotatedDataset's display name in datalabeling.googleapis.com.
       string annotated_dataset_display_name = 3;
@@ -115,8 +115,8 @@ message MigratableResource {
     // Format:
     // `projects/{project}/datasets/{dataset}`.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "datalabeling.googleapis.com/Dataset"
-                        }];
+      type: "datalabeling.googleapis.com/Dataset"
+    }];
 
     // The Dataset's display name in datalabeling.googleapis.com.
     string dataset_display_name = 4;
@@ -128,23 +128,28 @@ message MigratableResource {
 
   oneof resource {
     // Output only. Represents one Version in ml.googleapis.com.
-    MlEngineModelVersion ml_engine_model_version = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    MlEngineModelVersion ml_engine_model_version = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Model in automl.googleapis.com.
     AutomlModel automl_model = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in automl.googleapis.com.
-    AutomlDataset automl_dataset = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    AutomlDataset automl_dataset = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Represents one Dataset in datalabeling.googleapis.com.
-    DataLabelingDataset data_labeling_dataset = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    DataLabelingDataset data_labeling_dataset = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Timestamp when the last migration attempt on this MigratableResource
-  // started. Will not be set if there's no migration attempt on this
-  // MigratableResource.
-  google.protobuf.Timestamp last_migrate_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when the last migration attempt on this
+  // MigratableResource started. Will not be set if there's no migration attempt
+  // on this MigratableResource.
+  google.protobuf.Timestamp last_migrate_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this MigratableResource was last updated.
-  google.protobuf.Timestamp last_update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp last_update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
index f08ad889c6b0..c3db729b5336 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
@@ -37,12 +37,14 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
 service MigrationService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Searches all of the resources in automl.googleapis.com,
   // datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
   // Vertex AI's given location.
-  rpc SearchMigratableResources(SearchMigratableResourcesRequest) returns (SearchMigratableResourcesResponse) {
+  rpc SearchMigratableResources(SearchMigratableResourcesRequest)
+      returns (SearchMigratableResourcesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/migratableResources:search"
       body: "*"
@@ -52,7 +54,8 @@ service MigrationService {
 
   // Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
   // and datalabeling.googleapis.com to Vertex AI.
-  rpc BatchMigrateResources(BatchMigrateResourcesRequest) returns (google.longrunning.Operation) {
+  rpc BatchMigrateResources(BatchMigrateResourcesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/migratableResources:batchMigrate"
       body: "*"
@@ -65,12 +68,12 @@ service MigrationService {
   }
 }
 
-// Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+// Request message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesRequest {
-  // Required. The location that the migratable resources should be searched from.
-  // It's the Vertex AI location that the resources can be migrated to, not
-  // the resources' original location.
-  // Format:
+  // Required. The location that the migratable resources should be searched
+  // from. It's the Vertex AI location that the resources can be migrated to,
+  // not the resources' original location. Format:
   // `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -89,7 +92,8 @@ message SearchMigratableResourcesRequest {
   // A filter for your search. You can use the following types of filters:
   //
   // *   Resource type filters. The following strings filter for a specific type
-  //     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
+  //     of
+  //     [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
   //     *   `ml_engine_model_version:*`
   //     *   `automl_model:*`
   //     *   `automl_dataset:*`
@@ -101,7 +105,8 @@ message SearchMigratableResourcesRequest {
   string filter = 4;
 }
 
-// Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
+// Response message for
+// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
 message SearchMigratableResourcesResponse {
   // All migratable resources that can be migrated to the
   // location specified in the request.
@@ -113,7 +118,8 @@ message SearchMigratableResourcesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+// Request message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesRequest {
   // Required. The location of the migrated resource will live in.
   // Format: `projects/{project}/locations/{location}`
@@ -127,7 +133,8 @@ message BatchMigrateResourcesRequest {
   // Required. The request messages specifying the resources to migrate.
   // They must be in the same location as the destination.
   // Up to 50 resources can be migrated in one batch.
-  repeated MigrateResourceRequest migrate_resource_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated MigrateResourceRequest migrate_resource_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Config of migrating one resource from automl.googleapis.com,
@@ -135,9 +142,8 @@ message BatchMigrateResourcesRequest {
 message MigrateResourceRequest {
   // Config for migrating version in ml.googleapis.com to Vertex AI's Model.
   message MigrateMlEngineModelVersionConfig {
-    // Required. The ml.googleapis.com endpoint that this model version should be migrated
-    // from.
-    // Example values:
+    // Required. The ml.googleapis.com endpoint that this model version should
+    // be migrated from. Example values:
     //
     // * ml.googleapis.com
     //
@@ -152,9 +158,7 @@ message MigrateResourceRequest {
     // Format: `projects/{project}/models/{model}/versions/{version}`.
     string model_version = 2 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "ml.googleapis.com/Version"
-      }
+      (google.api.resource_reference) = { type: "ml.googleapis.com/Version" }
     ];
 
     // Required. Display name of the model in Vertex AI.
@@ -169,9 +173,7 @@ message MigrateResourceRequest {
     // `projects/{project}/locations/{location}/models/{model}`.
     string model = 1 [
       (google.api.field_behavior) = REQUIRED,
-      (google.api.resource_reference) = {
-        type: "automl.googleapis.com/Model"
-      }
+      (google.api.resource_reference) = { type: "automl.googleapis.com/Model" }
     ];
 
     // Optional. Display name of the model in Vertex AI.
@@ -228,15 +230,18 @@ message MigrateResourceRequest {
     // System will pick a display name if unspecified.
     string dataset_display_name = 2 [(google.api.field_behavior) = OPTIONAL];
 
-    // Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
-    // Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
-    // to the datalabeling Dataset.
-    repeated MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(google.api.field_behavior) = OPTIONAL];
+    // Optional. Configs for migrating AnnotatedDataset in
+    // datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
+    // AnnotatedDatasets have to belong to the datalabeling Dataset.
+    repeated MigrateDataLabelingAnnotatedDatasetConfig
+        migrate_data_labeling_annotated_dataset_configs = 3
+        [(google.api.field_behavior) = OPTIONAL];
   }
 
   oneof request {
     // Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
-    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config =
+        1;
 
     // Config for migrating Model in automl.googleapis.com to Vertex AI's
     // Model.
@@ -252,7 +257,8 @@ message MigrateResourceRequest {
   }
 }
 
-// Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+// Response message for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesResponse {
   // Successfully migrated resources.
   repeated MigrateResourceResponse migrate_resource_responses = 1;
@@ -264,13 +270,13 @@ message MigrateResourceResponse {
   oneof migrated_resource {
     // Migrated Dataset's resource name.
     string dataset = 1 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Dataset"
-                        }];
+      type: "aiplatform.googleapis.com/Dataset"
+    }];
 
     // Migrated Model's resource name.
     string model = 2 [(google.api.resource_reference) = {
-                        type: "aiplatform.googleapis.com/Model"
-                      }];
+      type: "aiplatform.googleapis.com/Model"
+    }];
   }
 
   // Before migration, the identifier in ml.googleapis.com,
@@ -278,7 +284,8 @@ message MigrateResourceResponse {
   MigratableResource migratable_resource = 3;
 }
 
-// Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
+// Runtime operation information for
+// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
   // Represents a partial result in batch migration operation for one
   // [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
@@ -292,13 +299,13 @@ message BatchMigrateResourcesOperationMetadata {
 
       // Migrated model resource name.
       string model = 3 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Model"
-                        }];
+        type: "aiplatform.googleapis.com/Model"
+      }];
 
       // Migrated dataset resource name.
       string dataset = 4 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
     }
 
     // It's the same as the value in
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
index 7b5f9f0a0c68..8c7b0fdc73fd 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
@@ -50,12 +50,15 @@ message Model {
 
       // Model artifact and any of its supported files. Will be exported to the
       // location specified by the `artifactDestination` field of the
-      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+      // object.
       ARTIFACT = 1;
 
       // The container image that is to be used when deploying this Model. Will
       // be exported to the location specified by the `imageDestination` field
-      // of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
+      // of the
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config]
+      // object.
       IMAGE = 2;
     }
 
@@ -83,7 +86,8 @@ message Model {
     string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The content of this Model that may be exported.
-    repeated ExportableContent exportable_contents = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated ExportableContent exportable_contents = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Identifies a type of Model's prediction resources.
@@ -91,16 +95,20 @@ message Model {
     // Should not be used.
     DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;
 
-    // Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that need a
-    // higher degree of manual configuration.
+    // Resources that are dedicated to the
+    // [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that
+    // need a higher degree of manual configuration.
     DEDICATED_RESOURCES = 1;
 
     // Resources that to large degree are decided by Vertex AI, and require
     // only a modest additional configuration.
     AUTOMATIC_RESOURCES = 2;
 
-    // Resources that can be shared by multiple [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel].
-    // A pre-configured [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool] is required.
+    // Resources that can be shared by multiple
+    // [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]. A
+    // pre-configured
+    // [DeploymentResourcePool][google.cloud.aiplatform.v1beta1.DeploymentResourcePool]
+    // is required.
     SHARED_RESOURCES = 3;
   }
 
@@ -128,10 +136,12 @@ message Model {
   repeated string version_aliases = 29;
 
   // Output only. Timestamp when this version was created.
-  google.protobuf.Timestamp version_create_time = 31 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_create_time = 31
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this version was most recently updated.
-  google.protobuf.Timestamp version_update_time = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp version_update_time = 32
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The display name of the Model.
   // The name can be up to 128 characters long and can consist of any UTF-8
@@ -146,13 +156,15 @@ message Model {
 
   // The schemata that describe formats of the Model's predictions and
   // explanations as given and returned via
-  // [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+  // [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+  // and
+  // [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
   PredictSchemata predict_schemata = 4;
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
-  // information about the Model, that is specific to it. Unset if the Model
-  // does not have any additional information.
-  // The schema is defined as an OpenAPI 3.0.2 [Schema
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // additional information about the Model, that is specific to it. Unset if
+  // the Model does not have any additional information. The schema is defined
+  // as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   // AutoML Models always have this field populated by Vertex AI, if no
   // additional metadata is needed, this field is set to an empty string.
@@ -161,17 +173,19 @@ message Model {
   // point to a location where the user only has a read access.
   string metadata_schema_uri = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. An additional information about the Model; the schema of the metadata can
-  // be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
+  // Immutable. An additional information about the Model; the schema of the
+  // metadata can be found in
+  // [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
   // Unset if the Model does not have any additional information.
   google.protobuf.Value metadata = 6 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. The formats in which this Model may be exported. If empty, this Model is
-  // not available for export.
-  repeated ExportFormat supported_export_formats = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The formats in which this Model may be exported. If empty,
+  // this Model is not available for export.
+  repeated ExportFormat supported_export_formats = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the TrainingPipeline that uploaded this Model, if
-  // any.
+  // Output only. The resource name of the TrainingPipeline that uploaded this
+  // Model, if any.
   string training_pipeline = 7 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -179,35 +193,43 @@ message Model {
     }
   ];
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model. The specification is ingested upon
-  // [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
-  // and stored internally by Vertex AI.
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model. The specification is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+  // and all binaries it contains are copied and stored internally by Vertex AI.
   // Not present for AutoML Models.
-  ModelContainerSpec container_spec = 9 [(google.api.field_behavior) = INPUT_ONLY];
+  ModelContainerSpec container_spec = 9
+      [(google.api.field_behavior) = INPUT_ONLY];
 
-  // Immutable. The path to the directory containing the Model artifact and any of its
-  // supporting files.
-  // Not present for AutoML Models.
+  // Immutable. The path to the directory containing the Model artifact and any
+  // of its supporting files. Not present for AutoML Models.
   string artifact_uri = 26 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Output only. When this Model is deployed, its prediction resources are described by the
-  // `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
-  // Because not all Models support all resource configuration types, the
-  // configuration types this Model supports are listed here. If no
+  // Output only. When this Model is deployed, its prediction resources are
+  // described by the `prediction_resources` field of the
+  // [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+  // object. Because not all Models support all resource configuration types,
+  // the configuration types this Model supports are listed here. If no
   // configuration types are listed, the Model cannot be deployed to an
   // [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
-  // online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
-  // [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
-  // using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
-  // [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
+  // online predictions
+  // ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+  // or
+  // [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]).
+  // Such a Model can serve predictions by using a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob],
+  // if it has at least one entry each in
+  // [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats]
+  // and
   // [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
-  repeated DeploymentResourcesType supported_deployment_resources_types = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated DeploymentResourcesType supported_deployment_resources_types = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
-  // should be given as per that schema.
+  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
+  // If
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+  // exists, the instances should be given as per that schema.
   //
   // The possible formats are:
   //
@@ -218,11 +240,13 @@ message Model {
   // * `csv`
   // The CSV format, where each instance is a single comma-separated line.
   // The first line in the file is the header, containing comma-separated field
-  // names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+  // names. Uses
+  // [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record`
   // The TFRecord format, where each instance is a single record in tfrecord
-  // syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
+  // syntax. Uses
+  // [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
   //
   // * `tf-record-gzip`
   // Similar to `tf-record`, but the file is gzipped. Uses
@@ -235,23 +259,31 @@ message Model {
   // * `file-list`
   // Each line of the file is the location of an instance to process, uses
   // `gcs_source` field of the
-  // [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
+  // [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig]
+  // object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
-  repeated string supported_input_storage_formats = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_input_storage_formats = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The formats this Model supports in
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
-  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
-  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
-  // are returned together with their instances. In other words, the
-  // prediction has the original instance data first, followed
-  // by the actual prediction content (as per the schema).
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
+  // If both
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
+  // and
+  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri]
+  // exist, the predictions are returned together with their instances. In other
+  // words, the prediction has the original instance data first, followed by the
+  // actual prediction content (as per the schema).
   //
   // The possible formats are:
   //
@@ -272,43 +304,57 @@ message Model {
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
-  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
-  // [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
-  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
+  // used with a
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  // However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types],
+  // it could serve online predictions by using
+  // [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+  // or
   // [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
-  repeated string supported_output_storage_formats = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string supported_output_storage_formats = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was uploaded into Vertex AI.
-  google.protobuf.Timestamp create_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Model was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The pointers to DeployedModels created from this Model. Note that
-  // Model could have been deployed to Endpoints in different Locations.
-  repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. The pointers to DeployedModels created from this Model. Note
+  // that Model could have been deployed to Endpoints in different Locations.
+  repeated DeployedModelRef deployed_models = 15
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The default explanation specification for this Model.
   //
   // The Model can be used for [requesting
   // explanation][PredictionService.Explain] after being
-  // [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
-  // The Model can be used for [batch
+  // [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if
+  // it is populated. The Model can be used for [batch
   // explanation][BatchPredictionJob.generate_explanation] if it is populated.
   //
   // All fields of the explanation_spec can be overridden by
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model],
+  // or
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+  // of
   // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
   //
   // If the default explanation specification is not set for this Model, this
   // Model can still be used for [requesting
   // explanation][PredictionService.Explain] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
-  // explanation][BatchPredictionJob.generate_explanation] by setting
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // of
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
+  // and for [batch explanation][BatchPredictionJob.generate_explanation] by
+  // setting
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
+  // of
   // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
   ExplanationSpec explanation_spec = 23;
 
@@ -329,23 +375,28 @@ message Model {
   // Model and all sub-resources of this Model will be secured by this key.
   EncryptionSpec encryption_spec = 24;
 
-  // Output only. Source of a model. It can either be automl training pipeline, custom
-  // training pipeline, BigQuery ML, or existing Vertex AI Model.
-  ModelSourceInfo model_source_info = 38 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Source of a model. It can either be automl training pipeline,
+  // custom training pipeline, BigQuery ML, or existing Vertex AI Model.
+  ModelSourceInfo model_source_info = 38
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The resource name of the Artifact that was created in MetadataStore when
-  // creating the Model. The Artifact resource name pattern is
+  // Output only. The resource name of the Artifact that was created in
+  // MetadataStore when creating the Model. The Artifact resource name pattern
+  // is
   // `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   string metadata_artifact = 44 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Contains the schemata used in Model's predictions and explanations via
-// [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and
-// [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+// [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict],
+// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+// and [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
 message PredictSchemata {
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
-  // [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single instance, which are used in
+  // [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+  // [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
+  // and
   // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -355,9 +406,11 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string instance_schema_uri = 1 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the
-  // parameters of prediction and explanation via
-  // [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the parameters of prediction and explanation via
+  // [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters],
+  // [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters]
+  // and
   // [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -368,9 +421,12 @@ message PredictSchemata {
   // point to a location where the user only has a read access.
   string parameters_schema_uri = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
-  // of a single prediction produced by this Model, which are returned via
-  // [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing
+  // the format of a single prediction produced by this Model, which are
+  // returned via
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions],
+  // [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations],
+  // and
   // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
   // The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
@@ -385,14 +441,16 @@ message PredictSchemata {
 // message correspond to fields in the [Kubernetes Container v1 core
 // specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
 message ModelContainerSpec {
-  // Required. Immutable. URI of the Docker image to be used as the custom container for serving
-  // predictions. This URI must identify an image in Artifact Registry or
-  // Container Registry. Learn more about the [container publishing
+  // Required. Immutable. URI of the Docker image to be used as the custom
+  // container for serving predictions. This URI must identify an image in
+  // Artifact Registry or Container Registry. Learn more about the [container
+  // publishing
   // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
   // including permissions requirements for the Vertex AI Service Agent.
   //
-  // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
-  // internally, and this original path is afterwards not used.
+  // The container image is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
+  // stored internally, and this original path is afterwards not used.
   //
   // To learn about the requirements for the Docker image itself, see
   // [Custom container
@@ -406,18 +464,20 @@ message ModelContainerSpec {
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Immutable. Specifies the command that runs when the container starts. This overrides
-  // the container's
+  // Immutable. Specifies the command that runs when the container starts. This
+  // overrides the container's
   // [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
   // Specify this field as an array of executable and arguments, similar to a
   // Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
   //
   // If you do not specify this field, then the container's `ENTRYPOINT` runs,
-  // in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
-  // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
-  // if either exists. If this field is not specified and the container does not
-  // have an `ENTRYPOINT`, then refer to the Docker documentation about [how
-  // `CMD` and `ENTRYPOINT`
+  // in conjunction with the
+  // [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or
+  // the container's
+  // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either
+  // exists. If this field is not specified and the container does not have an
+  // `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and
+  // `ENTRYPOINT`
   // interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
   //
   // If you specify this field, then you can also specify the `args` field to
@@ -429,9 +489,10 @@ message ModelContainerSpec {
   //
   // In this field, you can reference [environment variables set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+  // cannot reference environment variables set in the Docker image. In order
+  // for environment variables to be expanded, reference them by using the
   // following syntax:
   // $(VARIABLE_NAME)
   // Note that this differs from Bash variable expansion, which does not use
@@ -444,16 +505,16 @@ message ModelContainerSpec {
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string command = 2 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. Specifies arguments for the command that runs when the container starts.
-  // This overrides the container's
+  // Immutable. Specifies arguments for the command that runs when the container
+  // starts. This overrides the container's
   // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
   // this field as an array of executable and arguments, similar to a Docker
   // `CMD`'s "default parameters" form.
   //
   // If you don't specify this field but do specify the
-  // [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
-  // `command` field runs without any additional arguments. See the
-  // [Kubernetes documentation about how the
+  // [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command]
+  // field, then the command from the `command` field runs without any
+  // additional arguments. See the [Kubernetes documentation about how the
   // `command` and `args` fields interact with a container's `ENTRYPOINT` and
   // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
   //
@@ -467,9 +528,10 @@ message ModelContainerSpec {
   // In this field, you can reference [environment variables
   // set by Vertex
   // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
-  // and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
-  // You cannot reference environment variables set in the Docker image. In
-  // order for environment variables to be expanded, reference them by using the
+  // and environment variables set in the
+  // [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You
+  // cannot reference environment variables set in the Docker image. In order
+  // for environment variables to be expanded, reference them by using the
   // following syntax:
   // $(VARIABLE_NAME)
   // Note that this differs from Bash variable expansion, which does not use
@@ -482,14 +544,16 @@ message ModelContainerSpec {
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated string args = 3 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. List of environment variables to set in the container. After the container
-  // starts running, code running in the container can read these environment
-  // variables.
+  // Immutable. List of environment variables to set in the container. After the
+  // container starts running, code running in the container can read these
+  // environment variables.
   //
-  // Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
-  // [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
-  // entries in this list can also reference earlier entries. For example, the
-  // following example sets the variable `VAR_2` to have the value `foo bar`:
+  // Additionally, the
+  // [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
+  // [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
+  // reference these variables. Later entries in this list can also reference
+  // earlier entries. For example, the following example sets the variable
+  // `VAR_2` to have the value `foo bar`:
   //
   // ```json
   // [
@@ -535,11 +599,11 @@ message ModelContainerSpec {
   // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
   repeated Port ports = 5 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Immutable. HTTP path on the container to send prediction requests to. Vertex AI
-  // forwards requests sent using
-  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
-  // path on the container's IP address and port. Vertex AI then returns the
-  // container's response in the API response.
+  // Immutable. HTTP path on the container to send prediction requests to.
+  // Vertex AI forwards requests sent using
+  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict]
+  // to this path on the container's IP address and port. Vertex AI then returns
+  // the container's response in the API response.
   //
   // For example, if you set this field to `/foo`, then when Vertex AI
   // receives a prediction request, it forwards the request body in a POST
@@ -548,7 +612,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
   // /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
   // The placeholders in this value are replaced as follows:
   //
@@ -558,7 +623,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * DEPLOYED_MODEL: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+  // * DEPLOYED_MODEL:
+  // [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code
   //   as the [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
@@ -576,7 +643,8 @@ message ModelContainerSpec {
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
-  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
+  // you [deploy this Model to an
+  // Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
   // /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
   // The placeholders in this value are replaced as follows:
   //
@@ -586,7 +654,9 @@ message ModelContainerSpec {
   //   as the [`AIP_ENDPOINT_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
   //
-  // * DEPLOYED_MODEL: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
+  // * DEPLOYED_MODEL:
+  // [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the
+  // `DeployedModel`.
   //   (Vertex AI makes this value available to your container code as the
   //   [`AIP_DEPLOYED_MODEL_ID` environment
   //   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
index e8b94d1d1377..153417ed0aa6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
@@ -118,20 +118,27 @@ message ModelDeploymentMonitoringJob {
   JobState state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Schedule state when the monitoring job is in Running state.
-  MonitoringScheduleState schedule_state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  MonitoringScheduleState schedule_state = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Latest triggered monitoring pipeline metadata.
-  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(google.api.field_behavior) = OUTPUT_ONLY];
+  LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Required. The config for monitoring objectives. This is a per DeployedModel config.
-  // Each DeployedModel needs to be configured separately.
-  repeated ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(google.api.field_behavior) = REQUIRED];
+  // Required. The config for monitoring objectives. This is a per DeployedModel
+  // config. Each DeployedModel needs to be configured separately.
+  repeated ModelDeploymentMonitoringObjectiveConfig
+      model_deployment_monitoring_objective_configs = 6
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Schedule config for running the monitoring job.
-  ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(google.api.field_behavior) = REQUIRED];
+  ModelDeploymentMonitoringScheduleConfig
+      model_deployment_monitoring_schedule_config = 7
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. Sample Strategy for logging.
-  SamplingStrategy logging_sampling_strategy = 8 [(google.api.field_behavior) = REQUIRED];
+  SamplingStrategy logging_sampling_strategy = 8
+      [(google.api.field_behavior) = REQUIRED];
 
   // Alert config for model monitoring.
   ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
@@ -142,10 +149,12 @@ message ModelDeploymentMonitoringJob {
   // requests.
   string predict_instance_schema_uri = 9;
 
-  // Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
+  // Sample Predict instance, same format as
+  // [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
   // this can be set as a replacement of
-  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
-  // we will generate predict schema from collected predict requests.
+  // [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
+  // If not set, we will generate predict schema from collected predict
+  // requests.
   google.protobuf.Value sample_predict_instance = 19;
 
   // YAML schema file uri describing the format of a single instance that you
@@ -161,12 +170,13 @@ message ModelDeploymentMonitoringJob {
   // fields in predict instance formatted as string.
   string analysis_instance_schema_uri = 16;
 
-  // Output only. The created bigquery tables for the job under customer project. Customer
-  // could do their own query & analysis. There could be 4 log tables in
-  // maximum:
+  // Output only. The created bigquery tables for the job under customer
+  // project. Customer could do their own query & analysis. There could be 4 log
+  // tables in maximum:
   // 1. Training data logging predict request/response
   // 2. Serving data logging predict request/response
-  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The TTL of BigQuery tables in user projects which stores logs.
   // A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
@@ -184,14 +194,18 @@ message ModelDeploymentMonitoringJob {
   map labels = 11;
 
   // Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
-  google.protobuf.Timestamp create_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
-  google.protobuf.Timestamp update_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
+  // most recently.
+  google.protobuf.Timestamp update_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
-  // next round.
-  google.protobuf.Timestamp next_schedule_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Timestamp when this monitoring pipeline will be scheduled to
+  // run for the next round.
+  google.protobuf.Timestamp next_schedule_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Stats anomalies base folder path.
   GcsDestination stats_anomalies_base_directory = 20;
@@ -263,17 +277,19 @@ message ModelDeploymentMonitoringObjectiveConfig {
 
 // The config for scheduling monitoring job.
 message ModelDeploymentMonitoringScheduleConfig {
-  // Required. The model monitoring job scheduling interval. It will be rounded up to next
-  // full hour. This defines how often the monitoring jobs are triggered.
-  google.protobuf.Duration monitor_interval = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The model monitoring job scheduling interval. It will be rounded
+  // up to next full hour. This defines how often the monitoring jobs are
+  // triggered.
+  google.protobuf.Duration monitor_interval = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // The time window of the prediction data being included in each prediction
   // dataset. This window specifies how long the data should be collected from
   // historical model results for each run. If not set,
-  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
-  // e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
-  // monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
-  // to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
+  // will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
+  // the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
+  // 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
   // monitoring statistics.
   google.protobuf.Duration monitor_window = 2;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
index 4e2c903e1ff3..e37ad53a1c68 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
@@ -58,8 +58,8 @@ message ModelEvaluation {
   string display_name = 10;
 
   // Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
-  // defined as an OpenAPI 3.0.2 [Schema
+  // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
+  // ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 2;
 
@@ -68,12 +68,13 @@ message ModelEvaluation {
   google.protobuf.Value metrics = 3;
 
   // Output only. Timestamp when this ModelEvaluation was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
   // ModelEvaluationSlices. The dimensions can be used as the filter of the
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
-  // `slice.dimension = `.
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+  // request, in the form of `slice.dimension = `.
   repeated string slice_dimensions = 5;
 
   // Aggregated explanation metrics for the Model's prediction output over the
@@ -82,8 +83,9 @@ message ModelEvaluation {
   //
   ModelExplanation model_explanation = 8;
 
-  // Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-  // the predicted values on the evaluated data.
+  // Describes the values of
+  // [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
+  // used for explaining the predicted values on the evaluated data.
   repeated ModelEvaluationExplanationSpec explanation_specs = 9;
 
   // The metadata of the ModelEvaluation.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto
index aa39f11186c9..d52c4766a889 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto
@@ -42,8 +42,10 @@ message ModelEvaluationSlice {
     // Output only. The dimension of the slice.
     // Well-known dimensions are:
     //   * `annotationSpec`: This slice is on the test data that has either
-    //     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
-    //     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+    //     ground truth or prediction with
+    //     [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
+    //     equals to
+    //     [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
     string dimension = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the dimension in this slice.
@@ -56,16 +58,20 @@ message ModelEvaluationSlice {
   // Output only. The slice of the test data that is used to evaluate the Model.
   Slice slice = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
-  // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
-  // schema is defined as an OpenAPI 3.0.2 [Schema
+  // Output only. Points to a YAML file stored on Google Cloud Storage
+  // describing the
+  // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of
+  // this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2
+  // [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
   string metrics_schema_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
-  // in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
+  // Output only. Sliced evaluation metrics of the Model. The schema of the
+  // metrics is stored in
+  // [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
   google.protobuf.Value metrics = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this ModelEvaluationSlice was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_monitoring.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_monitoring.proto
index 955314ecd441..3dc687e5f107 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_monitoring.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_monitoring.proto
@@ -59,8 +59,8 @@ message ModelMonitoringObjectiveConfig {
     oneof data_source {
       // The resource name of the Dataset used to train this Model.
       string dataset = 3 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
+        type: "aiplatform.googleapis.com/Dataset"
+      }];
 
       // The Google Cloud Storage uri of the unmanaged Dataset used to train
       // this Model.
@@ -135,8 +135,10 @@ message ModelMonitoringObjectiveConfig {
   // The config for integrating with Vertex Explainable AI. Only applicable if
   // the Model has explanation_spec populated.
   message ExplanationConfig {
-    // Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] for Model Monitoring baseline dataset,
-    // which can be used to generate baseline attribution scores.
+    // Output from
+    // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]
+    // for Model Monitoring baseline dataset, which can be used to generate
+    // baseline attribution scores.
     message ExplanationBaseline {
       // The storage format of the predictions generated BatchPrediction job.
       enum PredictionFormat {
@@ -178,7 +180,8 @@ message ModelMonitoringObjectiveConfig {
   TrainingDataset training_dataset = 1;
 
   // The config for skew between training data and prediction data.
-  TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
+  TrainingPredictionSkewDetectionConfig
+      training_prediction_skew_detection_config = 2;
 
   // The config for drift of prediction data.
   PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
index 9fad50db7e71..80da8a99f8d5 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
@@ -40,7 +40,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for managing Vertex AI's machine learning Models.
 service ModelService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Uploads a Model artifact into Vertex AI.
   rpc UploadModel(UploadModelRequest) returns (google.longrunning.Operation) {
@@ -72,7 +73,8 @@ service ModelService {
   }
 
   // Lists versions of the specified model.
-  rpc ListModelVersions(ListModelVersionsRequest) returns (ListModelVersionsResponse) {
+  rpc ListModelVersions(ListModelVersionsRequest)
+      returns (ListModelVersionsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/models/*}:listVersions"
     };
@@ -89,7 +91,8 @@ service ModelService {
   }
 
   // Incrementally update the dataset used for an examples model.
-  rpc UpdateExplanationDataset(UpdateExplanationDatasetRequest) returns (google.longrunning.Operation) {
+  rpc UpdateExplanationDataset(UpdateExplanationDatasetRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{model=projects/*/locations/*/models/*}:updateExplanationDataset"
       body: "*"
@@ -103,9 +106,12 @@ service ModelService {
 
   // Deletes a Model.
   //
-  // A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
-  // [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
-  // [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
+  // A model cannot be deleted if any
+  // [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
+  // [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the
+  // model in its
+  // [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
+  // field.
   rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/models/*}"
@@ -121,8 +127,10 @@ service ModelService {
   //
   // Model version can only be deleted if there are no [DeployedModels][]
   // created from it. Deleting the only version in the Model is not allowed. Use
-  // [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead.
-  rpc DeleteModelVersion(DeleteModelVersionRequest) returns (google.longrunning.Operation) {
+  // [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for
+  // deleting the Model instead.
+  rpc DeleteModelVersion(DeleteModelVersionRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/models/*}:deleteVersion"
     };
@@ -144,7 +152,8 @@ service ModelService {
 
   // Exports a trained, exportable Model to a location specified by the
   // user. A Model is considered to be exportable if it has at least one
-  // [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+  // [supported export
+  // format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
   rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/models/*}:export"
@@ -158,7 +167,8 @@ service ModelService {
   }
 
   // Imports an externally generated ModelEvaluation.
-  rpc ImportModelEvaluation(ImportModelEvaluationRequest) returns (ModelEvaluation) {
+  rpc ImportModelEvaluation(ImportModelEvaluationRequest)
+      returns (ModelEvaluation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/models/*}/evaluations:import"
       body: "*"
@@ -167,7 +177,8 @@ service ModelService {
   }
 
   // Imports a list of externally generated ModelEvaluationSlice.
-  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest) returns (BatchImportModelEvaluationSlicesResponse) {
+  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest)
+      returns (BatchImportModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport"
       body: "*"
@@ -184,7 +195,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluations in a Model.
-  rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) {
+  rpc ListModelEvaluations(ListModelEvaluationsRequest)
+      returns (ListModelEvaluationsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/models/*}/evaluations"
     };
@@ -192,7 +204,8 @@ service ModelService {
   }
 
   // Gets a ModelEvaluationSlice.
-  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest) returns (ModelEvaluationSlice) {
+  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest)
+      returns (ModelEvaluationSlice) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/slices/*}"
     };
@@ -200,7 +213,8 @@ service ModelService {
   }
 
   // Lists ModelEvaluationSlices in a ModelEvaluation.
-  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest) returns (ListModelEvaluationSlicesResponse) {
+  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest)
+      returns (ListModelEvaluationSlicesResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices"
     };
@@ -208,7 +222,8 @@ service ModelService {
   }
 }
 
-// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
+// Request message for
+// [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
 message UploadModelRequest {
   // Required. The resource name of the Location into which to upload the Model.
   // Format: `projects/{project}/locations/{location}`
@@ -219,8 +234,8 @@ message UploadModelRequest {
     }
   ];
 
-  // Optional. The resource name of the model into which to upload the version. Only
-  // specify this field when uploading a new version.
+  // Optional. The resource name of the model into which to upload the version.
+  // Only specify this field when uploading a new version.
   string parent_model = 4 [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. The ID to use for the uploaded Model, which will become the final
@@ -243,25 +258,30 @@ message UploadModelRequest {
   string service_account = 6 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+// Details of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+// operation.
 message UploadModelOperationMetadata {
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
+// Response message of
+// [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]
+// operation.
 message UploadModelResponse {
   // The name of the uploaded Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
   string model = 1 [(google.api.resource_reference) = {
-                      type: "aiplatform.googleapis.com/Model"
-                    }];
+    type: "aiplatform.googleapis.com/Model"
+  }];
 
   // Output only. The version ID of the model that is uploaded.
   string model_version_id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
+// Request message for
+// [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
 message GetModelRequest {
   // Required. The name of the Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -283,7 +303,8 @@ message GetModelRequest {
   ];
 }
 
-// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
+// Request message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
 message ListModelsRequest {
   // Required. The resource name of the Location to list the Models from.
   // Format: `projects/{project}/locations/{location}`
@@ -298,7 +319,8 @@ message ListModelsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `model` supports = and !=. `model` represents the Model ID,
-  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+  //     i.e. the last segment of the Model's [resource
+  //     name][google.cloud.aiplatform.v1beta1.Model.name].
   //   * `display_name` supports = and !=
   //   * `labels` supports general map functions that is:
   //     * `labels.key=value` - key:value equality
@@ -317,25 +339,31 @@ message ListModelsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
-  // [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
+  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
+// Response message for
+// [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]
 message ListModelsResponse {
   // List of Models in the requested page.
   repeated Model models = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
+// Request message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
 message ListModelVersionsRequest {
   // Required. The name of the model to list versions for.
   string name = 1 [
@@ -350,8 +378,8 @@ message ListModelVersionsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
-  // [ModelService.ListModelversions][] call.
+  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
+  // of the previous [ModelService.ListModelversions][] call.
   string page_token = 3;
 
   // An expression for filtering the results of the request. For field names
@@ -369,9 +397,20 @@ message ListModelVersionsRequest {
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //
+  //   * `create_time`
+  //   * `update_time`
+  //
+  // Example: `update_time asc, create_time desc`.
+  string order_by = 6;
 }
 
-// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
+// Response message for
+// [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
 message ListModelVersionsResponse {
   // List of Model versions in the requested page.
   // In the returned Model name field, version ID instead of regvision tag will
@@ -379,11 +418,14 @@ message ListModelVersionsResponse {
   repeated Model models = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
+// Request message for
+// [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
 message UpdateModelRequest {
   // Required. The Model which replaces the resource on the server.
   // When Model Versioning is enabled, the model.name will be used to determine
@@ -406,8 +448,10 @@ message UpdateModelRequest {
   Model model = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  // For the `FieldMask` definition, see
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Request message for
@@ -433,7 +477,8 @@ message UpdateExplanationDatasetOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
+// Request message for
+// [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
 message DeleteModelRequest {
   // Required. The name of the Model resource to be deleted.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -445,10 +490,11 @@ message DeleteModelRequest {
   ];
 }
 
-// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
+// Request message for
+// [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
 message DeleteModelVersionRequest {
-  // Required. The name of the model version to be deleted, with a version ID explicitly
-  // included.
+  // Required. The name of the model version to be deleted, with a version ID
+  // explicitly included.
   //
   // Example: `projects/{project}/locations/{location}/models/{model}@1234`
   string name = 1 [
@@ -459,7 +505,8 @@ message DeleteModelVersionRequest {
   ];
 }
 
-// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
+// Request message for
+// [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
 message MergeVersionAliasesRequest {
   // Required. The name of the model version to merge aliases, with a version ID
   // explicitly included.
@@ -487,12 +534,14 @@ message MergeVersionAliasesRequest {
   repeated string version_aliases = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
+// Request message for
+// [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
 message ExportModelRequest {
   // Output configuration for the Model export.
   message OutputConfig {
     // The ID of the format in which the Model must be exported. Each Model
-    // lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
+    // lists the [export formats it
+    // supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
     // If no value is provided here, then the first from the list of the Model's
     // supported formats is used by default.
     string export_format_id = 1;
@@ -528,39 +577,43 @@ message ExportModelRequest {
   OutputConfig output_config = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
+// Details of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+// operation.
 message ExportModelOperationMetadata {
   // Further describes the output of the ExportModel. Supplements
   // [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig].
   message OutputInfo {
-    // Output only. If the Model artifact is being exported to Google Cloud Storage this is
-    // the full path of the directory created, into which the Model files are
-    // being written to.
+    // Output only. If the Model artifact is being exported to Google Cloud
+    // Storage this is the full path of the directory created, into which the
+    // Model files are being written to.
     string artifact_output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. If the Model image is being exported to Google Container Registry or
-    // Artifact Registry this is the full path of the image created.
+    // Output only. If the Model image is being exported to Google Container
+    // Registry or Artifact Registry this is the full path of the image created.
     string image_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
 
-  // Output only. Information further describing the output of this Model export.
+  // Output only. Information further describing the output of this Model
+  // export.
   OutputInfo output_info = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.
-message UpdateExplanationDatasetResponse {
-
-}
-
-// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
-message ExportModelResponse {
+// Response message of
+// [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset]
+// operation.
+message UpdateExplanationDatasetResponse {}
 
-}
+// Response message of
+// [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel]
+// operation.
+message ExportModelResponse {}
 
-// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
+// Request message for
+// [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
 message ImportModelEvaluationRequest {
   // Required. The name of the parent model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -575,7 +628,8 @@ message ImportModelEvaluationRequest {
   ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+// Request message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesRequest {
   // Required. The name of the parent ModelEvaluation resource.
   // Format:
@@ -588,16 +642,21 @@ message BatchImportModelEvaluationSlicesRequest {
   ];
 
   // Required. Model evaluation slice resource to be imported.
-  repeated ModelEvaluationSlice model_evaluation_slices = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ModelEvaluationSlice model_evaluation_slices = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+// Response message for
+// [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
 message BatchImportModelEvaluationSlicesResponse {
-  // Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
-  repeated string imported_model_evaluation_slices = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. List of imported
+  // [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+  repeated string imported_model_evaluation_slices = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
+// Request message for
+// [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.
   // Format:
@@ -610,7 +669,8 @@ message GetModelEvaluationRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+// Request message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsRequest {
   // Required. The resource name of the Model to list the ModelEvaluations from.
   // Format: `projects/{project}/locations/{location}/models/{model}`
@@ -629,25 +689,31 @@ message ListModelEvaluationsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
+  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
+// Response message for
+// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
 message ListModelEvaluationsResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluation model_evaluations = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
+// Request message for
+// [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
 message GetModelEvaluationSliceRequest {
   // Required. The name of the ModelEvaluationSlice resource.
   // Format:
@@ -660,10 +726,11 @@ message GetModelEvaluationSliceRequest {
   ];
 }
 
-// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+// Request message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesRequest {
-  // Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
-  // from. Format:
+  // Required. The resource name of the ModelEvaluation to list the
+  // ModelEvaluationSlices from. Format:
   // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -682,21 +749,25 @@ message ListModelEvaluationSlicesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
-  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
+  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token]
+  // of the previous
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
+// Response message for
+// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
 message ListModelEvaluationSlicesResponse {
   // List of ModelEvaluations in the requested page.
   repeated ModelEvaluationSlice model_evaluation_slices = 1;
 
   // A token to retrieve next page of results.
-  // Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
-  // page.
+  // Pass to
+  // [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/operation.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/operation.proto
index 4a6d0edf23ae..330ab6245a05 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/operation.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/operation.proto
@@ -34,15 +34,18 @@ message GenericOperationMetadata {
   // E.g. single files that couldn't be read.
   // This field should never exceed 20 entries.
   // Status details field will contain standard Google Cloud error details.
-  repeated google.rpc.Status partial_failures = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated google.rpc.Status partial_failures = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was created.
-  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 2
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the operation was updated for the last time.
   // If the operation has finished (successfully or not), this is the finish
   // time.
-  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Details of operations that perform deletes of any entities.
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_job.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_job.proto
index 8ecf6084417d..637707f3a77a 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_job.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_job.proto
@@ -62,16 +62,18 @@ message PipelineJob {
       }
     }
 
-    // Deprecated. Use [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] instead. The runtime
-    // parameters of the PipelineJob. The parameters will be passed into
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders at runtime.
-    // This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as
-    // pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
+    // Deprecated. Use
+    // [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values]
+    // instead. The runtime parameters of the PipelineJob. The parameters will
+    // be passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower,
+    // such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
     map parameters = 1 [deprecated = true];
 
-    // Required. A path in a Cloud Storage bucket, which will be treated as the root
-    // output directory of the pipeline. It is used by the system to
+    // Required. A path in a Cloud Storage bucket, which will be treated as the
+    // root output directory of the pipeline. It is used by the system to
     // generate the paths of output artifacts. The artifact paths are generated
     // with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
     // specified output directory. The service account specified in this
@@ -80,10 +82,12 @@ message PipelineJob {
     string gcs_output_directory = 2 [(google.api.field_behavior) = REQUIRED];
 
     // The runtime parameters of the PipelineJob. The parameters will be
-    // passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
-    // at runtime. This field is used by pipelines built using
-    // `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
-    // using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
+    // passed into
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+    // to replace the placeholders at runtime. This field is used by pipelines
+    // built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as
+    // pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2
+    // DSL.
     map parameter_values = 3;
 
     // Represents the failure policy of a pipeline. Currently, the default of a
@@ -108,16 +112,20 @@ message PipelineJob {
   string display_name = 2;
 
   // Output only. Pipeline creation time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Pipeline end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this PipelineJob was most recently updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The spec of the pipeline.
   google.protobuf.Struct pipeline_spec = 7;
@@ -172,27 +180,32 @@ message PipelineJob {
   // resources being launched, if applied, such as Vertex AI
   // Training or Dataflow job. If left unspecified, the workload is not peered
   // with any network.
-  string network = 18 [(google.api.resource_reference) = {
-                         type: "compute.googleapis.com/Network"
-                       }];
+  string network = 18 [
+    (google.api.resource_reference) = { type: "compute.googleapis.com/Network" }
+  ];
 
-  // A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
-  // be downloaded.
+  // A template uri from where the
+  // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec],
+  // if empty, will be downloaded.
   string template_uri = 19;
 
   // Output only. Pipeline template metadata. Will fill up fields if
-  // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
-  PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+  // is from supported template registry.
+  PipelineTemplateMetadata template_metadata = 20
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported
-// template registry. Currently, the only supported registry is Artifact
-// Registry.
+// Pipeline template metadata if
+// [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+// is from supported template registry. Currently, the only supported registry
+// is Artifact Registry.
 message PipelineTemplateMetadata {
   // The version_name in artifact registry.
   //
-  // Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
-  // from supported template registry.
+  // Will always be presented in output if the
+  // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri]
+  // is from supported template registry.
   //
   // Format is "sha256:abcdef123456...".
   string version = 3;
@@ -207,7 +220,8 @@ message PipelineJobDetail {
   Context pipeline_run_context = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime details of the tasks under the pipeline.
-  repeated PipelineTaskDetail task_details = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated PipelineTaskDetail task_details = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a task execution.
@@ -215,17 +229,17 @@ message PipelineTaskDetail {
   // A single record of the task status.
   message PipelineTaskStatus {
     // Output only. Update time of this status.
-    google.protobuf.Timestamp update_time = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp update_time = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The state of the task.
     State state = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The error that occurred during the state. May be set when the state is
-    // any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state.
-    // If the state is FAILED, the error here is final and not going to be
-    // retried.
-    // If the state is a non-final state, the error indicates a system-error
-    // being retried.
+    // Output only. The error that occurred during the state. May be set when
+    // the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
+    // FAILED state. If the state is FAILED, the error here is final and not
+    // going to be retried. If the state is a non-final state, the error
+    // indicates a system-error being retried.
     google.rpc.Status error = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
@@ -266,15 +280,16 @@ message PipelineTaskDetail {
 
     // Specifies that the task was not triggered because the task's trigger
     // policy is not satisfied. The trigger policy is specified in the
-    // `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
+    // `condition` field of
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
     NOT_TRIGGERED = 9;
   }
 
   // Output only. The system generated ID of the task.
   int64 task_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The id of the parent task if the task is within a component scope.
-  // Empty if the task is at the root level.
+  // Output only. The id of the parent task if the task is within a component
+  // scope. Empty if the task is at the root level.
   int64 parent_task_id = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The user specified name of the task that is defined in
@@ -282,16 +297,20 @@ message PipelineTaskDetail {
   string task_name = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task create time.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task start time.
-  google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Task end time.
-  google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The detailed execution info.
-  PipelineTaskExecutorDetail executor_detail = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  PipelineTaskExecutorDetail executor_detail = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. State of the task.
   State state = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -303,15 +322,18 @@ message PipelineTaskDetail {
   // Only populated when the task's state is FAILED or CANCELLED.
   google.rpc.Status error = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of task status. This field keeps a record of task status evolving
-  // over time.
-  repeated PipelineTaskStatus pipeline_task_status = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. A list of task status. This field keeps a record of task
+  // status evolving over time.
+  repeated PipelineTaskStatus pipeline_task_status = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime input artifacts of the task.
-  map inputs = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map inputs = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The runtime output artifacts of the task.
-  map outputs = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map outputs = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // The runtime detail of a pipeline executor.
@@ -319,7 +341,9 @@ message PipelineTaskExecutorDetail {
   // The detail of a container execution. It contains the job names of the
   // lifecycle of a container execution.
   message ContainerDetail {
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+    // container execution.
     string main_job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -327,10 +351,11 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
-    // execution. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+    // pre-caching-check container execution. This job will be available if the
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events.
     string pre_caching_check_job = 2 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -338,23 +363,29 @@ message PipelineTaskExecutorDetail {
       }
     ];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container
-    // executions. The list includes the all attempts in chronological order.
-    repeated string failed_main_jobs = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main
+    // container executions. The list includes the all attempts in chronological
+    // order.
+    repeated string failed_main_jobs = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The names of the previously failed [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
+    // Output only. The names of the previously failed
+    // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the
     // pre-caching-check container executions. This job will be available if the
-    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
-    // the lifecycle events.
-    // The list includes the all attempts in chronological order.
-    repeated string failed_pre_caching_check_jobs = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]
+    // specifies the `pre_caching_check` hook in the lifecycle events. The list
+    // includes the all attempts in chronological order.
+    repeated string failed_pre_caching_check_jobs = 4
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The detailed info for a custom job executor.
   message CustomJobDetail {
     option deprecated = true;
 
-    // Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
+    // Output only. The name of the
+    // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
     string job = 1 [
       (google.api.field_behavior) = OUTPUT_ONLY,
       (google.api.resource_reference) = {
@@ -365,12 +396,11 @@ message PipelineTaskExecutorDetail {
 
   oneof details {
     // Output only. The detailed info for a container executor.
-    ContainerDetail container_detail = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+    ContainerDetail container_detail = 1
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The detailed info for a custom job executor.
-    CustomJobDetail custom_job_detail = 2 [
-      deprecated = true,
-      (google.api.field_behavior) = OUTPUT_ONLY
-    ];
+    CustomJobDetail custom_job_detail = 2
+        [deprecated = true, (google.api.field_behavior) = OUTPUT_ONLY];
   }
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_service.proto
index 8126d7b88391..26ea0fb67042 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_service.proto
@@ -39,11 +39,13 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // `PipelineJob` resources (used for Vertex AI Pipelines).
 service PipelineService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a TrainingPipeline. A created TrainingPipeline right away will be
   // attempted to be run.
-  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/trainingPipelines"
       body: "training_pipeline"
@@ -52,7 +54,8 @@ service PipelineService {
   }
 
   // Gets a TrainingPipeline.
-  rpc GetTrainingPipeline(GetTrainingPipelineRequest) returns (TrainingPipeline) {
+  rpc GetTrainingPipeline(GetTrainingPipelineRequest)
+      returns (TrainingPipeline) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -60,7 +63,8 @@ service PipelineService {
   }
 
   // Lists TrainingPipelines in a Location.
-  rpc ListTrainingPipelines(ListTrainingPipelinesRequest) returns (ListTrainingPipelinesResponse) {
+  rpc ListTrainingPipelines(ListTrainingPipelinesRequest)
+      returns (ListTrainingPipelinesResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/trainingPipelines"
     };
@@ -68,7 +72,8 @@ service PipelineService {
   }
 
   // Deletes a TrainingPipeline.
-  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}"
     };
@@ -82,14 +87,19 @@ service PipelineService {
   // Cancels a TrainingPipeline.
   // Starts asynchronous cancellation on the TrainingPipeline. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the TrainingPipeline is not deleted; instead it becomes a pipeline with
-  // a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
-  // `CANCELLED`.
-  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest) returns (google.protobuf.Empty) {
+  // a
+  // [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state]
+  // is set to `CANCELLED`.
+  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}:cancel"
       body: "*"
@@ -103,7 +113,8 @@ service PipelineService {
       post: "/v1beta1/{parent=projects/*/locations/*}/pipelineJobs"
       body: "pipeline_job"
     };
-    option (google.api.method_signature) = "parent,pipeline_job,pipeline_job_id";
+    option (google.api.method_signature) =
+        "parent,pipeline_job,pipeline_job_id";
   }
 
   // Gets a PipelineJob.
@@ -115,7 +126,8 @@ service PipelineService {
   }
 
   // Lists PipelineJobs in a Location.
-  rpc ListPipelineJobs(ListPipelineJobsRequest) returns (ListPipelineJobsResponse) {
+  rpc ListPipelineJobs(ListPipelineJobsRequest)
+      returns (ListPipelineJobsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/pipelineJobs"
     };
@@ -123,7 +135,8 @@ service PipelineService {
   }
 
   // Deletes a PipelineJob.
-  rpc DeletePipelineJob(DeletePipelineJobRequest) returns (google.longrunning.Operation) {
+  rpc DeletePipelineJob(DeletePipelineJobRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}"
     };
@@ -137,14 +150,18 @@ service PipelineService {
   // Cancels a PipelineJob.
   // Starts asynchronous cancellation on the PipelineJob. The server
   // makes a best effort to cancel the pipeline, but success is not
-  // guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or
-  // other methods to check whether the cancellation succeeded or whether the
+  // guaranteed. Clients can use
+  // [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob]
+  // or other methods to check whether the cancellation succeeded or whether the
   // pipeline completed despite cancellation. On successful cancellation,
   // the PipelineJob is not deleted; instead it becomes a pipeline with
-  // a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
-  // corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to
-  // `CANCELLED`.
-  rpc CancelPipelineJob(CancelPipelineJobRequest) returns (google.protobuf.Empty) {
+  // a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error]
+  // value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and
+  // [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is
+  // set to `CANCELLED`.
+  rpc CancelPipelineJob(CancelPipelineJobRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       post: "/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}:cancel"
       body: "*"
@@ -153,10 +170,11 @@ service PipelineService {
   }
 }
 
-// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
+// Request message for
+// [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
 message CreateTrainingPipelineRequest {
-  // Required. The resource name of the Location to create the TrainingPipeline in.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to create the TrainingPipeline
+  // in. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -165,10 +183,12 @@ message CreateTrainingPipelineRequest {
   ];
 
   // Required. The TrainingPipeline to create.
-  TrainingPipeline training_pipeline = 2 [(google.api.field_behavior) = REQUIRED];
+  TrainingPipeline training_pipeline = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
+// Request message for
+// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
 message GetTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource.
   // Format:
@@ -181,10 +201,11 @@ message GetTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
+// Request message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
 message ListTrainingPipelinesRequest {
-  // Required. The resource name of the Location to list the TrainingPipelines from.
-  // Format: `projects/{project}/locations/{location}`
+  // Required. The resource name of the Location to list the TrainingPipelines
+  // from. Format: `projects/{project}/locations/{location}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -219,25 +240,31 @@ message ListTrainingPipelinesRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
-  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
+  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+  // call.
   string page_token = 4;
 
   // Mask specifying which fields to read.
   google.protobuf.FieldMask read_mask = 5;
 }
 
-// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
+// Response message for
+// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
 message ListTrainingPipelinesResponse {
   // List of TrainingPipelines in the requested page.
   repeated TrainingPipeline training_pipelines = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
+// Request message for
+// [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
 message DeleteTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline resource to be deleted.
   // Format:
@@ -250,7 +277,8 @@ message DeleteTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
+// Request message for
+// [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
 message CancelTrainingPipelineRequest {
   // Required. The name of the TrainingPipeline to cancel.
   // Format:
@@ -263,7 +291,8 @@ message CancelTrainingPipelineRequest {
   ];
 }
 
-// Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
+// Request message for
+// [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].
 message CreatePipelineJobRequest {
   // Required. The resource name of the Location to create the PipelineJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -286,7 +315,8 @@ message CreatePipelineJobRequest {
   string pipeline_job_id = 3;
 }
 
-// Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
+// Request message for
+// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].
 message GetPipelineJobRequest {
   // Required. The name of the PipelineJob resource.
   // Format:
@@ -299,7 +329,8 @@ message GetPipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
+// Request message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].
 message ListPipelineJobsRequest {
   // Required. The resource name of the Location to list the PipelineJobs from.
   // Format: `projects/{project}/locations/{location}`
@@ -351,8 +382,10 @@ message ListPipelineJobsRequest {
 
   // The standard list page token.
   // Typically obtained via
-  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
-  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
+  // [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token]
+  // of the previous
+  // [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+  // call.
   string page_token = 4;
 
   // A comma-separated list of fields to order by. The default sort order is in
@@ -374,17 +407,21 @@ message ListPipelineJobsRequest {
   google.protobuf.FieldMask read_mask = 7;
 }
 
-// Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
+// Response message for
+// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]
 message ListPipelineJobsResponse {
   // List of PipelineJobs in the requested page.
   repeated PipelineJob pipeline_jobs = 1;
 
   // A token to retrieve the next page of results.
-  // Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
+  // Pass to
+  // [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token]
+  // to obtain that page.
   string next_page_token = 2;
 }
 
-// Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
+// Request message for
+// [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].
 message DeletePipelineJobRequest {
   // Required. The name of the PipelineJob resource to be deleted.
   // Format:
@@ -397,7 +434,8 @@ message DeletePipelineJobRequest {
   ];
 }
 
-// Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
+// Request message for
+// [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].
 message CancelPipelineJobRequest {
   // Required. The name of the PipelineJob to cancel.
   // Format:
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
index e2452420516e..72e516fe6e79 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
@@ -35,7 +35,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // A service for online predictions and explanations.
 service PredictionService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Perform an online prediction.
   rpc Predict(PredictRequest) returns (PredictResponse) {
@@ -50,11 +51,13 @@ service PredictionService {
   //
   // The response includes the following HTTP headers:
   //
-  // * `X-Vertex-AI-Endpoint-Id`: ID of the [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
+  // * `X-Vertex-AI-Endpoint-Id`: ID of the
+  // [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] that served this
   // prediction.
   //
-  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel]
-  // that served this prediction.
+  // * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
+  // [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] that served
+  // this prediction.
   rpc RawPredict(RawPredictRequest) returns (google.api.HttpBody) {
     option (google.api.http) = {
       post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:rawPredict"
@@ -65,10 +68,12 @@ service PredictionService {
 
   // Perform an online explanation.
   //
-  // If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
-  // the corresponding DeployModel must have
+  // If
+  // [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+  // is specified, the corresponding DeployModel must have
   // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
-  // populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
+  // populated. If
+  // [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
   // is not specified, all DeployedModels must have
   // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
   // populated. Only deployed AutoML tabular Models have
@@ -78,11 +83,13 @@ service PredictionService {
       post: "/v1beta1/{endpoint=projects/*/locations/*/endpoints/*}:explain"
       body: "*"
     };
-    option (google.api.method_signature) = "endpoint,instances,parameters,deployed_model_id";
+    option (google.api.method_signature) =
+        "endpoint,instances,parameters,deployed_model_id";
   }
 }
 
-// Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+// Request message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
 message PredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -100,23 +107,28 @@ message PredictRequest {
   // in case of AutoML Models, or, in case of customer created Models, the
   // behaviour is as documented by that Model.
   // The schema of any single instance may be specified via Endpoint's
-  // DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+  // DeployedModels'
+  // [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 3;
 }
 
-// Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
+// Response message for
+// [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].
 message PredictResponse {
   // The predictions that are the output of the predictions call.
   // The schema of any single prediction may be specified via Endpoint's
-  // DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+  // DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
   repeated google.protobuf.Value predictions = 1;
@@ -124,8 +136,8 @@ message PredictResponse {
   // ID of the Endpoint's DeployedModel that served this prediction.
   string deployed_model_id = 2;
 
-  // Output only. The resource name of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The resource name of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model = 3 [
     (google.api.field_behavior) = OUTPUT_ONLY,
     (google.api.resource_reference) = {
@@ -133,16 +145,18 @@ message PredictResponse {
     }
   ];
 
-  // Output only. The version ID of the Model which is deployed as the DeployedModel that
-  // this prediction hits.
+  // Output only. The version ID of the Model which is deployed as the
+  // DeployedModel that this prediction hits.
   string model_version_id = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The [display name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model which is deployed as
-  // the DeployedModel that this prediction hits.
+  // Output only. The [display
+  // name][google.cloud.aiplatform.v1beta1.Model.display_name] of the Model
+  // which is deployed as the DeployedModel that this prediction hits.
   string model_display_name = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
-// Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
+// Request message for
+// [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].
 message RawPredictRequest {
   // Required. The name of the Endpoint requested to serve the prediction.
   // Format:
@@ -156,21 +170,24 @@ message RawPredictRequest {
 
   // The prediction input. Supports HTTP headers and arbitrary data payload.
   //
-  // A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have an upper limit on the number of instances it
-  // supports per request. When this limit it is exceeded for an AutoML model,
-  // the [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict] method returns an error.
-  // When this limit is exceeded for a custom-trained model, the behavior varies
-  // depending on the model.
+  // A [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] may have
+  // an upper limit on the number of instances it supports per request. When
+  // this limit it is exceeded for an AutoML model, the
+  // [RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict]
+  // method returns an error. When this limit is exceeded for a custom-trained
+  // model, the behavior varies depending on the model.
   //
   // You can specify the schema for each instance in the
   // [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
-  // field when you create a [Model][google.cloud.aiplatform.v1beta1.Model]. This schema applies when you deploy the
-  // `Model` as a `DeployedModel` to an [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the `RawPredict`
-  // method.
+  // field when you create a [Model][google.cloud.aiplatform.v1beta1.Model].
+  // This schema applies when you deploy the `Model` as a `DeployedModel` to an
+  // [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and use the
+  // `RawPredict` method.
   google.api.HttpBody http_body = 2;
 }
 
-// Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+// Request message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
 message ExplainRequest {
   // Required. The name of the Endpoint requested to serve the explanation.
   // Format:
@@ -188,21 +205,24 @@ message ExplainRequest {
   // in case of AutoML Models, or, in case of customer created Models, the
   // behaviour is as documented by that Model.
   // The schema of any single instance may be specified via Endpoint's
-  // DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+  // DeployedModels'
+  // [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
-  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated google.protobuf.Value instances = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The parameters that govern the prediction. The schema of the parameters may
-  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
+  // be specified via Endpoint's DeployedModels' [Model's
+  // ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
   // [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
   // If specified, overrides the
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-  // Can be used for explaining prediction results with different
-  // configurations, such as:
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
+  // of the DeployedModel. Can be used for explaining prediction results with
+  // different configurations, such as:
   //  - Explaining top-5 predictions results as opposed to top-1;
   //  - Increasing path count or step count of the attribution methods to reduce
   //    approximate errors;
@@ -210,22 +230,27 @@ message ExplainRequest {
   ExplanationSpecOverride explanation_spec_override = 5;
 
   // If specified, this ExplainRequest will be served by the chosen
-  // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
+  // DeployedModel, overriding
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
   string deployed_model_id = 3;
 }
 
-// Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
+// Response message for
+// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
 message ExplainResponse {
-  // The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+  // The explanations of the Model's
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
   //
-  // It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
-  // to be explained.
+  // It has the same number of elements as
+  // [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] to be
+  // explained.
   repeated Explanation explanations = 1;
 
   // ID of the Endpoint's DeployedModel that served this explanation.
   string deployed_model_id = 2;
 
   // The predictions that are the output of the predictions call.
-  // Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
+  // Same as
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
   repeated google.protobuf.Value predictions = 3;
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/saved_query.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/saved_query.proto
index da02d8a501d1..e7c03ff9e260 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/saved_query.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/saved_query.proto
@@ -49,10 +49,12 @@ message SavedQuery {
   google.protobuf.Value metadata = 12;
 
   // Output only. Timestamp when this SavedQuery was created.
-  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when SavedQuery was last updated.
-  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Filters on the Annotations in the dataset.
   string annotation_filter = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
@@ -79,7 +81,7 @@ message SavedQuery {
   // "overwrite" update happens.
   string etag = 8;
 
-  // Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
-  // training.
+  // Output only. If the Annotations belonging to the SavedQuery can be used for
+  // AutoML training.
   bool support_automl_training = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool.proto
index cb35f9da2027..0e0fe0248173 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool.proto
@@ -49,13 +49,15 @@ message SpecialistPool {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Output only. The number of managers in this SpecialistPool.
-  int32 specialist_managers_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  int32 specialist_managers_count = 3
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of the managers in the SpecialistPool.
   repeated string specialist_manager_emails = 4;
 
   // Output only. The resource name of the pending data labeling jobs.
-  repeated string pending_data_labeling_jobs = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string pending_data_labeling_jobs = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The email addresses of workers in the SpecialistPool.
   repeated string specialist_worker_emails = 7;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool_service.proto
index a110b9cb8380..204e4de10993 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool_service.proto
@@ -41,10 +41,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // CrowdCompute console.
 service SpecialistPoolService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a SpecialistPool.
-  rpc CreateSpecialistPool(CreateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc CreateSpecialistPool(CreateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/specialistPools"
       body: "specialist_pool"
@@ -65,7 +67,8 @@ service SpecialistPoolService {
   }
 
   // Lists SpecialistPools in a Location.
-  rpc ListSpecialistPools(ListSpecialistPoolsRequest) returns (ListSpecialistPoolsResponse) {
+  rpc ListSpecialistPools(ListSpecialistPoolsRequest)
+      returns (ListSpecialistPoolsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/specialistPools"
     };
@@ -73,7 +76,8 @@ service SpecialistPoolService {
   }
 
   // Deletes a SpecialistPool as well as all Specialists in the pool.
-  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/specialistPools/*}"
     };
@@ -85,7 +89,8 @@ service SpecialistPoolService {
   }
 
   // Updates a SpecialistPool.
-  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1beta1/{specialist_pool.name=projects/*/locations/*/specialistPools/*}"
       body: "specialist_pool"
@@ -98,7 +103,8 @@ service SpecialistPoolService {
   }
 }
 
-// Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
 message CreateSpecialistPoolRequest {
   // Required. The parent Project name for the new SpecialistPool.
   // The form is `projects/{project}/locations/{location}`.
@@ -120,7 +126,8 @@ message CreateSpecialistPoolOperationMetadata {
   GenericOperationMetadata generic_metadata = 1;
 }
 
-// Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
+// Request message for
+// [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].
 message GetSpecialistPoolRequest {
   // Required. The name of the SpecialistPool resource.
   // The form is
@@ -133,7 +140,8 @@ message GetSpecialistPoolRequest {
   ];
 }
 
-// Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+// Request message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsRequest {
   // Required. The name of the SpecialistPool's parent resource.
   // Format: `projects/{project}/locations/{location}`
@@ -148,16 +156,19 @@ message ListSpecialistPoolsRequest {
   int32 page_size = 2;
 
   // The standard list page token.
-  // Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
-  // the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
-  // first page if empty.
+  // Typically obtained by
+  // [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token]
+  // of the previous
+  // [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools]
+  // call. Return first page if empty.
   string page_token = 3;
 
   // Mask specifying which fields to read. FieldMask represents a set of
   google.protobuf.FieldMask read_mask = 4;
 }
 
-// Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
+// Response message for
+// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].
 message ListSpecialistPoolsResponse {
   // A list of SpecialistPools that matches the specified filter in the request.
   repeated SpecialistPool specialist_pools = 1;
@@ -166,7 +177,8 @@ message ListSpecialistPoolsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
+// Request message for
+// [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].
 message DeleteSpecialistPoolRequest {
   // Required. The resource name of the SpecialistPool to delete. Format:
   // `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
@@ -183,20 +195,22 @@ message DeleteSpecialistPoolRequest {
   bool force = 2;
 }
 
-// Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
+// Request message for
+// [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolRequest {
   // Required. The SpecialistPool which replaces the resource on the server.
   SpecialistPool specialist_pool = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // Runtime operation metadata for
 // [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].
 message UpdateSpecialistPoolOperationMetadata {
-  // Output only. The name of the SpecialistPool to which the specialists are being added.
-  // Format:
+  // Output only. The name of the SpecialistPool to which the specialists are
+  // being added. Format:
   // `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
   string specialist_pool = 1 [
     (google.api.field_behavior) = OUTPUT_ONLY,
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
index 5ca0eb1a0eba..8d27d555bcd2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
@@ -67,7 +67,8 @@ message Study {
   State state = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time at which the study was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. A human readable reason why the Study is inactive.
   // This should be empty if a study is ACTIVE or COMPLETED.
@@ -86,7 +87,8 @@ message Trial {
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
-    // [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
+    // [StudySpec's
+    // Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
     string parameter_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. The value of the parameter.
@@ -139,17 +141,21 @@ message Trial {
   // Output only. A list of measurements that are strictly lexicographically
   // ordered by their induced tuples (steps, elapsed_duration).
   // These are used for early stopping computations.
-  repeated Measurement measurements = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated Measurement measurements = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the Trial was started.
-  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
-  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time when the Trial's status changed to `SUCCEEDED` or
+  // `INFEASIBLE`.
+  google.protobuf.Timestamp end_time = 8
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The identifier of the client that originally requested this Trial.
-  // Each client is identified by a unique client_id. When a client
-  // asks for a suggestion, Vertex AI Vizier will assign it a Trial. The client
+  // Output only. The identifier of the client that originally requested this
+  // Trial. Each client is identified by a unique client_id. When a client asks
+  // for a suggestion, Vertex AI Vizier will assign it a Trial. The client
   // should evaluate the Trial, complete it, and report back to Vertex AI
   // Vizier. If suggestion is asked again by same client_id before the Trial is
   // completed, the same Trial will be returned. Multiple clients with
@@ -173,9 +179,11 @@ message Trial {
   // Output only. URIs for accessing [interactive
   // shells](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   // (one URI for each training node). Only available if this trial is part of
-  // a [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob] and the job's
-  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access] field
-  // is `true`.
+  // a
+  // [HyperparameterTuningJob][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob]
+  // and the job's
+  // [trial_job_spec.enable_web_access][google.cloud.aiplatform.v1beta1.CustomJobSpec.enable_web_access]
+  // field is `true`.
   //
   // The keys are names of each node used for the trial; for example,
   // `workerpool0-0` for the primary node, `workerpool1-0` for the first node in
@@ -183,7 +191,8 @@ message Trial {
   // second worker pool.
   //
   // The values are the URIs for each node's interactive shell.
-  map web_access_uris = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  map web_access_uris = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents specification of a Study.
@@ -202,8 +211,8 @@ message StudySpec {
       MINIMIZE = 2;
     }
 
-    // Required. The ID of the metric. Must not contain whitespaces and must be unique
-    // amongst all MetricSpecs.
+    // Required. The ID of the metric. Must not contain whitespaces and must be
+    // unique amongst all MetricSpecs.
     string metric_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // Required. The optimization goal of the metric.
@@ -298,8 +307,8 @@ message StudySpec {
 
       // Represents the spec to match categorical values from parent parameter.
       message CategoricalValueCondition {
-        // Required. Matches values of the parent parameter of 'CATEGORICAL' type.
-        // All values must exist in `categorical_value_spec` of parent
+        // Required. Matches values of the parent parameter of 'CATEGORICAL'
+        // type. All values must exist in `categorical_value_spec` of parent
         // parameter.
         repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
       }
@@ -357,8 +366,8 @@ message StudySpec {
       DiscreteValueSpec discrete_value_spec = 5;
     }
 
-    // Required. The ID of the parameter. Must not contain whitespaces and must be unique
-    // amongst all ParameterSpecs.
+    // Required. The ID of the parameter. Must not contain whitespaces and must
+    // be unique amongst all ParameterSpecs.
     string parameter_id = 1 [(google.api.field_behavior) = REQUIRED];
 
     // How the parameter should be scaled.
@@ -379,9 +388,11 @@ message StudySpec {
   // Trial. Early stopping is requested for the current Trial if there is very
   // low probability to exceed the optimal value found so far.
   message DecayCurveAutomatedStoppingSpec {
-    // True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
-    // Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
-    // as the x-axis.
+    // True if
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]
+    // is used as the x-axis of each Trials Decay Curve. Otherwise,
+    // [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count]
+    // will be used as the x-axis.
     bool use_elapsed_duration = 1;
   }
 
@@ -392,9 +403,10 @@ message StudySpec {
   // values reported by the Trial in each measurement.
   message MedianAutomatedStoppingSpec {
     // True if median automated stopping rule applies on
-    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
-    // field of latest measurement of current Trial is used to compute median
-    // objective value for each completed Trials.
+    // [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration].
+    // It means that elapsed_duration field of latest measurement of current
+    // Trial is used to compute median objective value for each completed
+    // Trials.
     bool use_elapsed_duration = 1;
   }
 
@@ -444,6 +456,15 @@ message StudySpec {
     // min_num_steps are overloaded to contain max_elapsed_seconds and
     // min_elapsed_seconds.
     bool use_elapsed_duration = 5;
+
+    // ConvexAutomatedStoppingSpec by default only updates the trials that needs
+    // to be early stopped using a newly trained auto-regressive model. When
+    // this flag is set to True, all stopped trials from the beginning are
+    // potentially updated in terms of their `final_measurement`. Also, note
+    // that the training logic of autoregressive models is different in this
+    // case. Enabling this option has shown better results and this may be the
+    // default option in the future.
+    optional bool update_all_stopped_trials = 6;
   }
 
   // Configuration for ConvexStopPolicy.
@@ -495,7 +516,8 @@ message StudySpec {
     bool disable_transfer_learning = 1;
 
     // Output only. Names of previously completed studies
-    repeated string prior_study_names = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    repeated string prior_study_names = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // The available search algorithms for the Study.
@@ -574,7 +596,8 @@ message StudySpec {
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The set of parameters to tune.
-  repeated ParameterSpec parameters = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated ParameterSpec parameters = 2
+      [(google.api.field_behavior) = REQUIRED];
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
@@ -606,14 +629,16 @@ message Measurement {
     double value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
-  // Output only. Time that the Trial has been running at the point of this Measurement.
-  google.protobuf.Duration elapsed_duration = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Time that the Trial has been running at the point of this
+  // Measurement.
+  google.protobuf.Duration elapsed_duration = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The number of steps the machine learning model has been trained for.
-  // Must be non-negative.
+  // Output only. The number of steps the machine learning model has been
+  // trained for. Must be non-negative.
   int64 step_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. A list of metrics got by evaluating the objective functions using suggested
-  // Parameter values.
+  // Output only. A list of metrics got by evaluating the objective functions
+  // using suggested Parameter values.
   repeated Metric metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
index 32f7adddb6e7..ef7d56470ab6 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
@@ -54,18 +54,21 @@ message Tensorboard {
   // this key.
   EncryptionSpec encryption_spec = 11;
 
-  // Output only. Consumer project Cloud Storage path prefix used to store blob data, which
-  // can either be a bucket or directory. Does not end with a '/'.
-  string blob_storage_path_prefix = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // Output only. Consumer project Cloud Storage path prefix used to store blob
+  // data, which can either be a bucket or directory. Does not end with a '/'.
+  string blob_storage_path_prefix = 10
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. The number of Runs stored in this Tensorboard.
   int32 run_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this Tensorboard was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Tensorboards.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_data.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_data.proto
index cfc36e3026a5..90d883bf4f3d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_data.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_data.proto
@@ -30,19 +30,21 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // All the data stored in a TensorboardTimeSeries.
 message TimeSeriesData {
-  // Required. The ID of the TensorboardTimeSeries, which will become the final component
-  // of the TensorboardTimeSeries' resource name
-  string tensorboard_time_series_id = 1 [(google.api.field_behavior) = REQUIRED];
+  // Required. The ID of the TensorboardTimeSeries, which will become the final
+  // component of the TensorboardTimeSeries' resource name
+  string tensorboard_time_series_id = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Immutable. The value type of this time series. All the values in this time series data
-  // must match this value type.
+  // Required. Immutable. The value type of this time series. All the values in
+  // this time series data must match this value type.
   TensorboardTimeSeries.ValueType value_type = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
   // Required. Data points in this time series.
-  repeated TimeSeriesDataPoint values = 3 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesDataPoint values = 3
+      [(google.api.field_behavior) = REQUIRED];
 }
 
 // A TensorboardTimeSeries data point.
@@ -78,7 +80,8 @@ message TensorboardTensor {
   // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
   bytes value = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
+  // Optional. Version number of TensorProto used to serialize
+  // [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
   int32 version_number = 2 [(google.api.field_behavior) = OPTIONAL];
 }
 
@@ -91,8 +94,8 @@ message TensorboardBlobSequence {
 
 // One blob (e.g, image, graph) viewable on a blob metric plot.
 message TensorboardBlob {
-  // Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
-  // stored in the Cloud Storage bucket of the consumer project.
+  // Output only. A URI safe key uniquely identifying a blob. Can be used to
+  // locate the blob stored in the Cloud Storage bucket of the consumer project.
   string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Optional. The bytes of the blob is not present unless it's returned by the
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto
index 0258ef6d1fc2..01c6007753b9 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto
@@ -48,10 +48,12 @@ message TensorboardExperiment {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardExperiment was created.
-  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 4
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardExperiment was last updated.
-  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your Datasets.
   //
@@ -73,6 +75,7 @@ message TensorboardExperiment {
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Source of the TensorboardExperiment. Example: a custom training job.
+  // Immutable. Source of the TensorboardExperiment. Example: a custom training
+  // job.
   string source = 8 [(google.api.field_behavior) = IMMUTABLE];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_run.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_run.proto
index b5f570c875fd..d13446ae341c 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_run.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_run.proto
@@ -50,10 +50,12 @@ message TensorboardRun {
   string description = 3;
 
   // Output only. Timestamp when this TensorboardRun was created.
-  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardRun was last updated.
-  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 7
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize your TensorboardRuns.
   //
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_service.proto
index 6cbfe7e7f035..955e050610f8 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_service.proto
@@ -40,10 +40,12 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // TensorboardService
 service TensorboardService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Tensorboard.
-  rpc CreateTensorboard(CreateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc CreateTensorboard(CreateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*}/tensorboards"
       body: "tensorboard"
@@ -63,8 +65,18 @@ service TensorboardService {
     option (google.api.method_signature) = "name";
   }
 
+  // Returns a list of monthly active users for a given TensorBoard instance.
+  rpc ReadTensorboardUsage(ReadTensorboardUsageRequest)
+      returns (ReadTensorboardUsageResponse) {
+    option (google.api.http) = {
+      get: "/v1beta1/{tensorboard=projects/*/locations/*/tensorboards/*}:readUsage"
+    };
+    option (google.api.method_signature) = "tensorboard";
+  }
+
   // Updates a Tensorboard.
-  rpc UpdateTensorboard(UpdateTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc UpdateTensorboard(UpdateTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       patch: "/v1beta1/{tensorboard.name=projects/*/locations/*/tensorboards/*}"
       body: "tensorboard"
@@ -77,7 +89,8 @@ service TensorboardService {
   }
 
   // Lists Tensorboards in a Location.
-  rpc ListTensorboards(ListTensorboardsRequest) returns (ListTensorboardsResponse) {
+  rpc ListTensorboards(ListTensorboardsRequest)
+      returns (ListTensorboardsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*}/tensorboards"
     };
@@ -85,7 +98,8 @@ service TensorboardService {
   }
 
   // Deletes a Tensorboard.
-  rpc DeleteTensorboard(DeleteTensorboardRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboard(DeleteTensorboardRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/tensorboards/*}"
     };
@@ -97,16 +111,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardExperiment.
-  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc CreateTensorboardExperiment(CreateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
       body: "tensorboard_experiment"
     };
-    option (google.api.method_signature) = "parent,tensorboard_experiment,tensorboard_experiment_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_experiment,tensorboard_experiment_id";
   }
 
   // Gets a TensorboardExperiment.
-  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc GetTensorboardExperiment(GetTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -114,7 +131,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardExperiment.
-  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest) returns (TensorboardExperiment) {
+  rpc UpdateTensorboardExperiment(UpdateTensorboardExperimentRequest)
+      returns (TensorboardExperiment) {
     option (google.api.http) = {
       patch: "/v1beta1/{tensorboard_experiment.name=projects/*/locations/*/tensorboards/*/experiments/*}"
       body: "tensorboard_experiment"
@@ -123,7 +141,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardExperiments in a Location.
-  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest) returns (ListTensorboardExperimentsResponse) {
+  rpc ListTensorboardExperiments(ListTensorboardExperimentsRequest)
+      returns (ListTensorboardExperimentsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*}/experiments"
     };
@@ -131,7 +150,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardExperiment.
-  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardExperiment(DeleteTensorboardExperimentRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}"
     };
@@ -143,16 +163,19 @@ service TensorboardService {
   }
 
   // Creates a TensorboardRun.
-  rpc CreateTensorboardRun(CreateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc CreateTensorboardRun(CreateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
       body: "tensorboard_run"
     };
-    option (google.api.method_signature) = "parent,tensorboard_run,tensorboard_run_id";
+    option (google.api.method_signature) =
+        "parent,tensorboard_run,tensorboard_run_id";
   }
 
   // Batch create TensorboardRuns.
-  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest) returns (BatchCreateTensorboardRunsResponse) {
+  rpc BatchCreateTensorboardRuns(BatchCreateTensorboardRunsRequest)
+      returns (BatchCreateTensorboardRunsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs:batchCreate"
       body: "*"
@@ -169,7 +192,8 @@ service TensorboardService {
   }
 
   // Updates a TensorboardRun.
-  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest) returns (TensorboardRun) {
+  rpc UpdateTensorboardRun(UpdateTensorboardRunRequest)
+      returns (TensorboardRun) {
     option (google.api.http) = {
       patch: "/v1beta1/{tensorboard_run.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
       body: "tensorboard_run"
@@ -178,7 +202,8 @@ service TensorboardService {
   }
 
   // Lists TensorboardRuns in a Location.
-  rpc ListTensorboardRuns(ListTensorboardRunsRequest) returns (ListTensorboardRunsResponse) {
+  rpc ListTensorboardRuns(ListTensorboardRunsRequest)
+      returns (ListTensorboardRunsResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs"
     };
@@ -186,7 +211,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardRun.
-  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardRun(DeleteTensorboardRunRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}"
     };
@@ -198,7 +224,8 @@ service TensorboardService {
   }
 
   // Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
-  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest) returns (BatchCreateTensorboardTimeSeriesResponse) {
+  rpc BatchCreateTensorboardTimeSeries(BatchCreateTensorboardTimeSeriesRequest)
+      returns (BatchCreateTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*}/runs/*/timeSeries:batchCreate"
       body: "*"
@@ -207,7 +234,8 @@ service TensorboardService {
   }
 
   // Creates a TensorboardTimeSeries.
-  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc CreateTensorboardTimeSeries(CreateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
       body: "tensorboard_time_series"
@@ -216,7 +244,8 @@ service TensorboardService {
   }
 
   // Gets a TensorboardTimeSeries.
-  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc GetTensorboardTimeSeries(GetTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       get: "/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -224,16 +253,19 @@ service TensorboardService {
   }
 
   // Updates a TensorboardTimeSeries.
-  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest) returns (TensorboardTimeSeries) {
+  rpc UpdateTensorboardTimeSeries(UpdateTensorboardTimeSeriesRequest)
+      returns (TensorboardTimeSeries) {
     option (google.api.http) = {
       patch: "/v1beta1/{tensorboard_time_series.name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
       body: "tensorboard_time_series"
     };
-    option (google.api.method_signature) = "tensorboard_time_series,update_mask";
+    option (google.api.method_signature) =
+        "tensorboard_time_series,update_mask";
   }
 
   // Lists TensorboardTimeSeries in a Location.
-  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest) returns (ListTensorboardTimeSeriesResponse) {
+  rpc ListTensorboardTimeSeries(ListTensorboardTimeSeriesRequest)
+      returns (ListTensorboardTimeSeriesResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{parent=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/timeSeries"
     };
@@ -241,7 +273,8 @@ service TensorboardService {
   }
 
   // Deletes a TensorboardTimeSeries.
-  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest) returns (google.longrunning.Operation) {
+  rpc DeleteTensorboardTimeSeries(DeleteTensorboardTimeSeriesRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       delete: "/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}"
     };
@@ -254,10 +287,12 @@ service TensorboardService {
 
   // Reads multiple TensorboardTimeSeries' data. The data point number limit is
   // 1000 for scalars, 100 for tensors and blob references. If the number of
-  // data points stored is less than the limit, all data will be returned.
-  // Otherwise, that limit number of data points will be randomly selected from
+  // data points stored is less than the limit, all data is returned.
+  // Otherwise, the number limit of data points is randomly selected from
   // this time series and returned.
-  rpc BatchReadTensorboardTimeSeriesData(BatchReadTensorboardTimeSeriesDataRequest) returns (BatchReadTensorboardTimeSeriesDataResponse) {
+  rpc BatchReadTensorboardTimeSeriesData(
+      BatchReadTensorboardTimeSeriesDataRequest)
+      returns (BatchReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{tensorboard=projects/*/locations/*/tensorboards/*}/experiments/*/runs/*/timeSeries:batchRead"
     };
@@ -265,11 +300,12 @@ service TensorboardService {
   }
 
   // Reads a TensorboardTimeSeries' data. By default, if the number of data
-  // points stored is less than 1000, all data will be returned. Otherwise, 1000
-  // data points will be randomly selected from this time series and returned.
+  // points stored is less than 1000, all data is returned. Otherwise, 1000
+  // data points is randomly selected from this time series and returned.
   // This value can be changed by changing max_data_points, which can't be
   // greater than 10k.
-  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest) returns (ReadTensorboardTimeSeriesDataResponse) {
+  rpc ReadTensorboardTimeSeriesData(ReadTensorboardTimeSeriesDataRequest)
+      returns (ReadTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:read"
     };
@@ -280,7 +316,8 @@ service TensorboardService {
   // This is to allow reading blob data stored in consumer project's Cloud
   // Storage bucket without users having to obtain Cloud Storage access
   // permission.
-  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest) returns (stream ReadTensorboardBlobDataResponse) {
+  rpc ReadTensorboardBlobData(ReadTensorboardBlobDataRequest)
+      returns (stream ReadTensorboardBlobDataResponse) {
     option (google.api.http) = {
       get: "/v1beta1/{time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:readBlobData"
     };
@@ -288,20 +325,21 @@ service TensorboardService {
   }
 
   // Write time series data points of multiple TensorboardTimeSeries in multiple
-  // TensorboardRun's. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest) returns (WriteTensorboardExperimentDataResponse) {
+  // TensorboardRun's. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardExperimentData(WriteTensorboardExperimentDataRequest)
+      returns (WriteTensorboardExperimentDataResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{tensorboard_experiment=projects/*/locations/*/tensorboards/*/experiments/*}:write"
       body: "*"
     };
-    option (google.api.method_signature) = "tensorboard_experiment,write_run_data_requests";
+    option (google.api.method_signature) =
+        "tensorboard_experiment,write_run_data_requests";
   }
 
   // Write time series data points into multiple TensorboardTimeSeries under
-  // a TensorboardRun. If any data fail to be ingested, an error will be
-  // returned.
-  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest) returns (WriteTensorboardRunDataResponse) {
+  // a TensorboardRun. If any data fail to be ingested, an error is returned.
+  rpc WriteTensorboardRunData(WriteTensorboardRunDataRequest)
+      returns (WriteTensorboardRunDataResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{tensorboard_run=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}:write"
       body: "*"
@@ -311,7 +349,8 @@ service TensorboardService {
 
   // Exports a TensorboardTimeSeries' data. Data is returned in paginated
   // responses.
-  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest) returns (ExportTensorboardTimeSeriesDataResponse) {
+  rpc ExportTensorboardTimeSeriesData(ExportTensorboardTimeSeriesDataRequest)
+      returns (ExportTensorboardTimeSeriesDataResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{tensorboard_time_series=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}:exportTensorboardTimeSeries"
       body: "*"
@@ -320,7 +359,8 @@ service TensorboardService {
   }
 }
 
-// Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
+// Request message for
+// [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
 message CreateTensorboardRequest {
   // Required. The resource name of the Location to create the Tensorboard in.
   // Format: `projects/{project}/locations/{location}`
@@ -335,7 +375,8 @@ message CreateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
+// Request message for
+// [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
 message GetTensorboardRequest {
   // Required. The name of the Tensorboard resource.
   // Format:
@@ -348,7 +389,42 @@ message GetTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+// Request message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageRequest {
+  // Required. The name of the Tensorboard resource.
+  // Format:
+  // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
+  string tensorboard = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Tensorboard"
+    }
+  ];
+}
+
+// Response message for [TensorboardService.GetTensorboardUsage][].
+message ReadTensorboardUsageResponse {
+  // Per user usage data.
+  message PerUserUsageData {
+    // User's username
+    string username = 1;
+
+    // Number of times the user has read data within the Tensorboard.
+    int64 view_count = 2;
+  }
+
+  // Per month usage data
+  message PerMonthUsageData {
+    // Usage data for each user in the given month.
+    repeated PerUserUsageData user_usage_data = 1;
+  }
+
+  // Maps year-month (YYYYMM) string to per month usage data.
+  map monthly_usage_data = 1;
+}
+
+// Request message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
 message ListTensorboardsRequest {
   // Required. The resource name of the Location to list Tensorboards.
   // Format:
@@ -364,18 +440,18 @@ message ListTensorboardsRequest {
   string filter = 2;
 
   // The maximum number of Tensorboards to return. The service may return
-  // fewer than this value. If unspecified, at most 100 Tensorboards will be
-  // returned. The maximum value is 100; values above 100 will be coerced to
+  // fewer than this value. If unspecified, at most 100 Tensorboards are
+  // returned. The maximum value is 100; values above 100 are coerced to
   // 100.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -385,26 +461,30 @@ message ListTensorboardsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
+// Response message for
+// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
 message ListTensorboardsResponse {
   // The Tensorboards mathching the request.
   repeated Tensorboard tensorboards = 1;
 
-  // A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
+  // A token, which can be sent as
+  // [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
   // to retrieve the next page. If this field is omitted, there are no
   // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
+// Request message for
+// [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
 message UpdateTensorboardRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // Tensorboard resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The Tensorboard's `name` field is used to identify the
   // Tensorboard to be updated. Format:
@@ -412,7 +492,8 @@ message UpdateTensorboardRequest {
   Tensorboard tensorboard = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
+// Request message for
+// [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
 message DeleteTensorboardRequest {
   // Required. The name of the Tensorboard to be deleted.
   // Format:
@@ -425,10 +506,11 @@ message DeleteTensorboardRequest {
   ];
 }
 
-// Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
+// Request message for
+// [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
 message CreateTensorboardExperimentRequest {
-  // Required. The resource name of the Tensorboard to create the TensorboardExperiment
-  // in. Format:
+  // Required. The resource name of the Tensorboard to create the
+  // TensorboardExperiment in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -440,15 +522,16 @@ message CreateTensorboardExperimentRequest {
   // The TensorboardExperiment to create.
   TensorboardExperiment tensorboard_experiment = 2;
 
-  // Required. The ID to use for the Tensorboard experiment, which will become the final
-  // component of the Tensorboard experiment's resource name.
+  // Required. The ID to use for the Tensorboard experiment, which becomes the
+  // final component of the Tensorboard experiment's resource name.
   //
   // This value should be 1-128 characters, and valid characters
   // are /[a-z][0-9]-/.
   string tensorboard_experiment_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
+// Request message for
+// [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
 message GetTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment resource.
   // Format:
@@ -461,10 +544,11 @@ message GetTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+// Request message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsRequest {
-  // Required. The resource name of the Tensorboard to list TensorboardExperiments.
-  // Format:
+  // Required. The resource name of the Tensorboard to list
+  // TensorboardExperiments. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -478,17 +562,17 @@ message ListTensorboardExperimentsRequest {
 
   // The maximum number of TensorboardExperiments to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardExperiments will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardExperiments are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -498,34 +582,40 @@ message ListTensorboardExperimentsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
+// Response message for
+// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
 message ListTensorboardExperimentsResponse {
   // The TensorboardExperiments mathching the request.
   repeated TensorboardExperiment tensorboard_experiments = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
+// Request message for
+// [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
 message UpdateTensorboardExperimentRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardExperiment resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardExperiment's `name` field is used to identify the
   // TensorboardExperiment to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
-  TensorboardExperiment tensorboard_experiment = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardExperiment tensorboard_experiment = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
+// Request message for
+// [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
 message DeleteTensorboardExperimentRequest {
   // Required. The name of the TensorboardExperiment to be deleted.
   // Format:
@@ -538,7 +628,8 @@ message DeleteTensorboardExperimentRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardRuns in. Format:
@@ -554,19 +645,22 @@ message BatchCreateTensorboardRunsRequest {
 
   // Required. The request message specifying the TensorboardRuns to create.
   // A maximum of 1000 TensorboardRuns can be created in a batch.
-  repeated CreateTensorboardRunRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated CreateTensorboardRunRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
 message BatchCreateTensorboardRunsResponse {
   // The created TensorboardRuns.
   repeated TensorboardRun tensorboard_runs = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
+// Request message for
+// [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
 message CreateTensorboardRunRequest {
-  // Required. The resource name of the TensorboardExperiment to create the TensorboardRun
-  // in. Format:
+  // Required. The resource name of the TensorboardExperiment to create the
+  // TensorboardRun in. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -578,7 +672,7 @@ message CreateTensorboardRunRequest {
   // Required. The TensorboardRun to create.
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The ID to use for the Tensorboard run, which will become the final
+  // Required. The ID to use for the Tensorboard run, which becomes the final
   // component of the Tensorboard run's resource name.
   //
   // This value should be 1-128 characters, and valid characters
@@ -586,7 +680,8 @@ message CreateTensorboardRunRequest {
   string tensorboard_run_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
+// Request message for
+// [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
 message GetTensorboardRunRequest {
   // Required. The name of the TensorboardRun resource.
   // Format:
@@ -599,7 +694,8 @@ message GetTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+// Request message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to list Blobs.
   // Format:
@@ -615,16 +711,18 @@ message ReadTensorboardBlobDataRequest {
   repeated string blob_ids = 2;
 }
 
-// Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
+// Response message for
+// [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
 message ReadTensorboardBlobDataResponse {
   // Blob messages containing blob bytes.
   repeated TensorboardBlob blobs = 1;
 }
 
-// Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+// Request message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsRequest {
-  // Required. The resource name of the TensorboardExperiment to list TensorboardRuns.
-  // Format:
+  // Required. The resource name of the TensorboardExperiment to list
+  // TensorboardRuns. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -637,18 +735,18 @@ message ListTensorboardRunsRequest {
   string filter = 2;
 
   // The maximum number of TensorboardRuns to return. The service may return
-  // fewer than this value. If unspecified, at most 50 TensorboardRuns will be
-  // returned. The maximum value is 1000; values above 1000 will be coerced to
+  // fewer than this value. If unspecified, at most 50 TensorboardRuns are
+  // returned. The maximum value is 1000; values above 1000 are coerced to
   // 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -658,34 +756,39 @@ message ListTensorboardRunsRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
+// Response message for
+// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
 message ListTensorboardRunsResponse {
   // The TensorboardRuns mathching the request.
   repeated TensorboardRun tensorboard_runs = 1;
 
-  // A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
-  // retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // A token, which can be sent as
+  // [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
+// Request message for
+// [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
 message UpdateTensorboardRunRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardRun resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
-  // be updated. Format:
+  // Required. The TensorboardRun's `name` field is used to identify the
+  // TensorboardRun to be updated. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   TensorboardRun tensorboard_run = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
+// Request message for
+// [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
 message DeleteTensorboardRunRequest {
   // Required. The name of the TensorboardRun to be deleted.
   // Format:
@@ -698,7 +801,8 @@ message DeleteTensorboardRunRequest {
   ];
 }
 
-// Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardExperiment to create the
   // TensorboardTimeSeries in.
@@ -714,18 +818,21 @@ message BatchCreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Required. The request message specifying the TensorboardTimeSeries to create.
-  // A maximum of 1000 TensorboardTimeSeries can be created in a batch.
-  repeated CreateTensorboardTimeSeriesRequest requests = 2 [(google.api.field_behavior) = REQUIRED];
+  // Required. The request message specifying the TensorboardTimeSeries to
+  // create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
+  repeated CreateTensorboardTimeSeriesRequest requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
 message BatchCreateTensorboardTimeSeriesResponse {
   // The created TensorboardTimeSeries.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 }
 
-// Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
 message CreateTensorboardTimeSeriesRequest {
   // Required. The resource name of the TensorboardRun to create the
   // TensorboardTimeSeries in.
@@ -738,17 +845,20 @@ message CreateTensorboardTimeSeriesRequest {
     }
   ];
 
-  // Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
-  // will become the final component of the TensorboardTimeSeries's resource
-  // name.
-  // This value should match "[a-z0-9][a-z0-9-]{0, 127}"
-  string tensorboard_time_series_id = 3 [(google.api.field_behavior) = OPTIONAL];
+  // Optional. The user specified unique ID to use for the
+  // TensorboardTimeSeries, which becomes the final component of the
+  // TensorboardTimeSeries's resource name. This value should match
+  // "[a-z0-9][a-z0-9-]{0, 127}"
+  string tensorboard_time_series_id = 3
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Required. The TensorboardTimeSeries to create.
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
 message GetTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries resource.
   // Format:
@@ -761,10 +871,11 @@ message GetTensorboardTimeSeriesRequest {
   ];
 }
 
-// Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesRequest {
-  // Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
-  // Format:
+  // Required. The resource name of the TensorboardRun to list
+  // TensorboardTimeSeries. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
   string parent = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -778,17 +889,17 @@ message ListTensorboardTimeSeriesRequest {
 
   // The maximum number of TensorboardTimeSeries to return. The service may
   // return fewer than this value. If unspecified, at most 50
-  // TensorboardTimeSeries will be returned. The maximum value is 1000; values
-  // above 1000 will be coerced to 1000.
+  // TensorboardTimeSeries are returned. The maximum value is 1000; values
+  // above 1000 are coerced to 1000.
   int32 page_size = 3;
 
   // A page token, received from a previous
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
-  // Provide this to retrieve the subsequent page.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+  // call. Provide this to retrieve the subsequent page.
   //
   // When paginating, all other parameters provided to
-  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
-  // match the call that provided the page token.
+  // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
+  // must match the call that provided the page token.
   string page_token = 4;
 
   // Field to use to sort the list.
@@ -798,35 +909,41 @@ message ListTensorboardTimeSeriesRequest {
   google.protobuf.FieldMask read_mask = 6;
 }
 
-// Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
+// Response message for
+// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
 message ListTensorboardTimeSeriesResponse {
   // The TensorboardTimeSeries mathching the request.
   repeated TensorboardTimeSeries tensorboard_time_series = 1;
 
   // A token, which can be sent as
-  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
-  // If this field is omitted, there are no subsequent pages.
+  // [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
+  // to retrieve the next page. If this field is omitted, there are no
+  // subsequent pages.
   string next_page_token = 2;
 }
 
-// Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
 message UpdateTensorboardTimeSeriesRequest {
   // Required. Field mask is used to specify the fields to be overwritten in the
   // TensorboardTimeSeries resource by the update.
   // The fields specified in the update_mask are relative to the resource, not
-  // the full request. A field will be overwritten if it is in the mask. If the
-  // user does not provide a mask then all fields will be overwritten if new
+  // the full request. A field is overwritten if it's in the mask. If the
+  // user does not provide a mask then all fields are overwritten if new
   // values are specified.
-  google.protobuf.FieldMask update_mask = 1 [(google.api.field_behavior) = REQUIRED];
+  google.protobuf.FieldMask update_mask = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Required. The TensorboardTimeSeries' `name` field is used to identify the
   // TensorboardTimeSeries to be updated.
   // Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
-  TensorboardTimeSeries tensorboard_time_series = 2 [(google.api.field_behavior) = REQUIRED];
+  TensorboardTimeSeries tensorboard_time_series = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
+// Request message for
+// [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
 message DeleteTensorboardTimeSeriesRequest {
   // Required. The name of the TensorboardTimeSeries to be deleted.
   // Format:
@@ -842,11 +959,12 @@ message DeleteTensorboardTimeSeriesRequest {
 // Request message for
 // [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].
 message BatchReadTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
-  // read data from. Format:
+  // Required. The resource name of the Tensorboard containing
+  // TensorboardTimeSeries to read data from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
-  // The TensorboardTimeSeries referenced by [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series] must be sub
-  // resources of this Tensorboard.
+  // The TensorboardTimeSeries referenced by
+  // [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
+  // must be sub resources of this Tensorboard.
   string tensorboard = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -854,7 +972,8 @@ message BatchReadTensorboardTimeSeriesDataRequest {
     }
   ];
 
-  // Required. The resource names of the TensorboardTimeSeries to read data from. Format:
+  // Required. The resource names of the TensorboardTimeSeries to read data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   repeated string time_series = 2 [
     (google.api.field_behavior) = REQUIRED,
@@ -871,7 +990,8 @@ message BatchReadTensorboardTimeSeriesDataResponse {
   repeated TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataRequest {
   // Required. The resource name of the TensorboardTimeSeries to read data from.
   // Format:
@@ -893,13 +1013,15 @@ message ReadTensorboardTimeSeriesDataRequest {
   string filter = 3;
 }
 
-// Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
 message ReadTensorboardTimeSeriesDataResponse {
   // The returned time series data.
   TimeSeriesData time_series_data = 1;
 }
 
-// Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+// Request message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
 message WriteTensorboardExperimentDataRequest {
   // Required. The resource name of the TensorboardExperiment to write data to.
   // Format:
@@ -912,15 +1034,16 @@ message WriteTensorboardExperimentDataRequest {
   ];
 
   // Required. Requests containing per-run TensorboardTimeSeries data to write.
-  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated WriteTensorboardRunDataRequest write_run_data_requests = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
-message WriteTensorboardExperimentDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
+message WriteTensorboardExperimentDataResponse {}
 
-// Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+// Request message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
 message WriteTensorboardRunDataRequest {
   // Required. The resource name of the TensorboardRun to write data to.
   // Format:
@@ -937,18 +1060,19 @@ message WriteTensorboardRunDataRequest {
   // Repeated writes to the same step will overwrite the existing value for that
   // step.
   // The upper limit of data points per write request is 5000.
-  repeated TimeSeriesData time_series_data = 2 [(google.api.field_behavior) = REQUIRED];
+  repeated TimeSeriesData time_series_data = 2
+      [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
-message WriteTensorboardRunDataResponse {
-
-}
+// Response message for
+// [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
+message WriteTensorboardRunDataResponse {}
 
-// Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Request message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataRequest {
-  // Required. The resource name of the TensorboardTimeSeries to export data from.
-  // Format:
+  // Required. The resource name of the TensorboardTimeSeries to export data
+  // from. Format:
   // `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
   string tensorboard_time_series = 1 [
     (google.api.field_behavior) = REQUIRED,
@@ -961,8 +1085,8 @@ message ExportTensorboardTimeSeriesDataRequest {
   string filter = 2;
 
   // The maximum number of data points to return per page.
-  // The default page_size will be 1000. Values must be between 1 and 10000.
-  // Values above 10000 will be coerced to 10000.
+  // The default page_size is 1000. Values must be between 1 and 10000.
+  // Values above 10000 are coerced to 10000.
   int32 page_size = 3;
 
   // A page token, received from a previous
@@ -975,12 +1099,13 @@ message ExportTensorboardTimeSeriesDataRequest {
   string page_token = 4;
 
   // Field to use to sort the TensorboardTimeSeries' data.
-  // By default, TensorboardTimeSeries' data will be returned in a pseudo random
+  // By default, TensorboardTimeSeries' data is returned in a pseudo random
   // order.
   string order_by = 5;
 }
 
-// Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
+// Response message for
+// [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
 message ExportTensorboardTimeSeriesDataResponse {
   // The returned time series data points.
   repeated TimeSeriesDataPoint time_series_data_points = 1;
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto
index 6e202a6ef92b..22d01783d926 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto
@@ -37,16 +37,19 @@ message TensorboardTimeSeries {
 
   // Describes metadata for a TensorboardTimeSeries.
   message Metadata {
-    // Output only. Max step index of all data points within a TensorboardTimeSeries.
+    // Output only. Max step index of all data points within a
+    // TensorboardTimeSeries.
     int64 max_step = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
     // Output only. Max wall clock timestamp of all data points within a
     // TensorboardTimeSeries.
-    google.protobuf.Timestamp max_wall_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    google.protobuf.Timestamp max_wall_time = 2
+        [(google.api.field_behavior) = OUTPUT_ONLY];
 
-    // Output only. The largest blob sequence length (number of blobs) of all data points in
-    // this time series, if its ValueType is BLOB_SEQUENCE.
-    int64 max_blob_sequence_length = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+    // Output only. The largest blob sequence length (number of blobs) of all
+    // data points in this time series, if its ValueType is BLOB_SEQUENCE.
+    int64 max_blob_sequence_length = 3
+        [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // An enum representing the value type of a TensorboardTimeSeries.
@@ -85,22 +88,25 @@ message TensorboardTimeSeries {
   ];
 
   // Output only. Timestamp when this TensorboardTimeSeries was created.
-  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 5
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Timestamp when this TensorboardTimeSeries was last updated.
-  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform a consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
   string etag = 7;
 
-  // Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
-  // Blob
+  // Immutable. Name of the plugin this time series pertain to. Such as Scalar,
+  // Tensor, Blob
   string plugin_name = 8 [(google.api.field_behavior) = IMMUTABLE];
 
   // Data of the current plugin, with the size limited to 65KB.
   bytes plugin_data = 9;
 
-  // Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
+  // Output only. Scalar, Tensor, or Blob metadata for this
+  // TensorboardTimeSeries.
   Metadata metadata = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
index cf7af508cb86..b5c09f0ce3b2 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
@@ -37,8 +37,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // The TrainingPipeline orchestrates tasks associated with training a Model. It
 // always executes the training task, and optionally may also
 // export data from Vertex AI's Dataset which becomes the training input,
-// [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the
-// Model.
+// [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model
+// to Vertex AI, and evaluate the Model.
 message TrainingPipeline {
   option (google.api.resource) = {
     type: "aiplatform.googleapis.com/TrainingPipeline"
@@ -52,17 +52,20 @@ message TrainingPipeline {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Specifies Vertex AI owned input data that may be used for training the
-  // Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
-  // clear whether this config is used and if there are any special requirements
-  // on how it should be filled. If nothing about this config is mentioned in
-  // the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
-  // TrainingPipeline does not depend on this configuration.
+  // Model. The TrainingPipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+  // should make clear whether this config is used and if there are any special
+  // requirements on how it should be filled. If nothing about this config is
+  // mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that the TrainingPipeline does not depend on this
+  // configuration.
   InputDataConfig input_data_config = 3;
 
-  // Required. A Google Cloud Storage path to the YAML file that defines the training task
-  // which is responsible for producing the model artifact, and may also include
-  // additional auxiliary work.
-  // The definition files that can be used here are found in
+  // Required. A Google Cloud Storage path to the YAML file that defines the
+  // training task which is responsible for producing the model artifact, and
+  // may also include additional auxiliary work. The definition files that can
+  // be used here are found in
   // gs://google-cloud-aiplatform/schema/trainingjob/definition/.
   // Note: The URI given on output will be immutable and probably different,
   // including the URI scheme, than the one given on input. The output URI will
@@ -70,28 +73,37 @@ message TrainingPipeline {
   string training_task_definition = 4 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The training task's parameter(s), as specified in the
-  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
-  google.protobuf.Value training_task_inputs = 5 [(google.api.field_behavior) = REQUIRED];
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+  // `inputs`.
+  google.protobuf.Value training_task_inputs = 5
+      [(google.api.field_behavior) = REQUIRED];
 
-  // Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
+  // Output only. The metadata information as specified in the
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
   // `metadata`. This metadata is an auxiliary runtime and final information
   // about the training task. While the pipeline is running this information is
   // populated only at a best effort basis. Only present if the
-  // pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
-  google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+  // pipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+  // contains `metadata` object.
+  google.protobuf.Value training_task_metadata = 6
+      [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Describes the Model that may be uploaded (via
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
   // by this TrainingPipeline. The TrainingPipeline's
-  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
-  // description should be populated, and if there are any special requirements
-  // regarding how it should be filled. If nothing is mentioned in the
-  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
-  // should not be filled and the training task either uploads the Model without
-  // a need of this information, or that training task does not support
-  // uploading a Model as part of the pipeline.
-  // When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
+  // should make clear whether this Model description should be populated, and
+  // if there are any special requirements regarding how it should be filled. If
+  // nothing is mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
+  // then it should be assumed that this field should not be filled and the
+  // training task either uploads the Model without a need of this information,
+  // or that training task does not support uploading a Model as part of the
+  // pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
   // the trained Model had been uploaded into Vertex AI, then the
-  // model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
+  // model_to_upload's resource
+  // [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
   // is always uploaded into the Project and Location in which this pipeline
   // is.
   Model model_to_upload = 7;
@@ -103,31 +115,36 @@ message TrainingPipeline {
   // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   string model_id = 22 [(google.api.field_behavior) = OPTIONAL];
 
-  // Optional. When specify this field, the `model_to_upload` will not be uploaded as a
-  // new model, instead, it will become a new version of this `parent_model`.
+  // Optional. When specify this field, the `model_to_upload` will not be
+  // uploaded as a new model, instead, it will become a new version of this
+  // `parent_model`.
   string parent_model = 21 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The detailed state of the pipeline.
   PipelineState state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
-  // `PIPELINE_STATE_CANCELLED`.
+  // Output only. Only populated when the pipeline's state is
+  // `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
   google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was created.
-  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp create_time = 11
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline for the first time entered the
   // `PIPELINE_STATE_RUNNING` state.
-  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp start_time = 12
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Time when the TrainingPipeline entered any of the following states:
-  // `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+  // Output only. Time when the TrainingPipeline entered any of the following
+  // states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
   // `PIPELINE_STATE_CANCELLED`.
-  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp end_time = 13
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Time when the TrainingPipeline was most recently updated.
-  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Timestamp update_time = 14
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // The labels with user-defined metadata to organize TrainingPipelines.
   //
@@ -142,7 +159,8 @@ message TrainingPipeline {
   // TrainingPipeline will be secured by this key.
   //
   // Note: Model trained by this TrainingPipeline is also secured by this key if
-  // [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+  // [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
+  // is not set separately.
   EncryptionSpec encryption_spec = 18;
 }
 
@@ -151,7 +169,9 @@ message TrainingPipeline {
 message InputDataConfig {
   // The instructions how the input data should be split between the
   // training, validation and test sets.
-  // If no split type is provided, the [fraction_split][google.cloud.aiplatform.v1beta1.InputDataConfig.fraction_split] is used by default.
+  // If no split type is provided, the
+  // [fraction_split][google.cloud.aiplatform.v1beta1.InputDataConfig.fraction_split]
+  // is used by default.
   oneof split {
     // Split based on fractions defining the size of each set.
     FractionSplit fraction_split = 2;
@@ -235,9 +255,9 @@ message InputDataConfig {
     BigQueryDestination bigquery_destination = 10;
   }
 
-  // Required. The ID of the Dataset in the same Project and Location which data will be
-  // used to train the Model. The Dataset must use schema compatible with
-  // Model being trained, and what is compatible should be described in the
+  // Required. The ID of the Dataset in the same Project and Location which data
+  // will be used to train the Model. The Dataset must use schema compatible
+  // with Model being trained, and what is compatible should be described in the
   // used TrainingPipeline's [training_task_definition]
   // [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
   // For tabular Datasets, all their data is exported to training, to pick
@@ -251,9 +271,9 @@ message InputDataConfig {
   // are used in respectively training, validation or test role, depending on
   // the role of the DataItem they are on (for the auto-assigned that role is
   // decided by Vertex AI). A filter with same syntax as the one used in
-  // [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
-  // here it filters across all Annotations of the Dataset, and not just within
-  // a single DataItem.
+  // [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations]
+  // may be used, but note here it filters across all Annotations of the
+  // Dataset, and not just within a single DataItem.
   string annotations_filter = 6;
 
   // Applicable only to custom training with Datasets that have DataItems and
@@ -265,30 +285,41 @@ message InputDataConfig {
   // The schema files that can be used here are found in
   // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with
-  // [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
+  // [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of
+  // the Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
   //
   // Only Annotations that both match this schema and belong to DataItems not
   // ignored by the split method are used in respectively training, validation
   // or test role, depending on the role of the DataItem they are on.
   //
-  // When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
-  // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
+  // When used in conjunction with
+  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter]
+  // and
   // [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
   string annotation_schema_uri = 9;
 
   // Only applicable to Datasets that have SavedQueries.
   //
   // The ID of a SavedQuery (annotation set) under the Dataset specified by
-  // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+  // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id]
+  // used for filtering Annotations for training.
   //
   // Only Annotations that are associated with this SavedQuery are used in
   // respectively training. When used in conjunction with
-  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
-  // both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter],
+  // the Annotations used for training are filtered by both
+  // [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+  // and
+  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
   //
-  // Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
-  // specified as both of them represent the same thing: problem type.
+  // Only one of
+  // [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id]
+  // and
+  // [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri]
+  // should be specified as both of them represent the same thing: problem type.
   string saved_query_id = 7;
 
   // Whether to persist the ML use assignment to data item system labels.
@@ -323,26 +354,29 @@ message FractionSplit {
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to validate the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to test the Model. A filter with same syntax
-  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
-  // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
-  // training, validation, test order.
+  // as the one used in
+  // [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems]
+  // may be used. If a single DataItem is matched by more than one of the
+  // FilterSplit filters, then it is assigned to the first set that applies to
+  // it in the training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto
index 7b0d6bdcdfab..6e176608a89d 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto
@@ -37,7 +37,8 @@ message UnmanagedContainerModel {
   // Contains the schemata used in Model's predictions and explanations
   PredictSchemata predict_schemata = 2;
 
-  // Input only. The specification of the container that is to be used when deploying
-  // this Model.
-  ModelContainerSpec container_spec = 3 [(google.api.field_behavior) = INPUT_ONLY];
+  // Input only. The specification of the container that is to be used when
+  // deploying this Model.
+  ModelContainerSpec container_spec = 3
+      [(google.api.field_behavior) = INPUT_ONLY];
 }
diff --git a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/vizier_service.proto b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/vizier_service.proto
index 88aec042e85c..2967bfafa82f 100644
--- a/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/vizier_service.proto
+++ b/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/vizier_service.proto
@@ -41,7 +41,8 @@ option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 // learning architectures.
 service VizierService {
   option (google.api.default_host) = "aiplatform.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates a Study. A resource name will be generated after creation of the
   // Study.
@@ -92,7 +93,8 @@ service VizierService {
   // operation associated with the generation of Trial suggestions.
   // When this long-running operation succeeds, it will contain
   // a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
-  rpc SuggestTrials(SuggestTrialsRequest) returns (google.longrunning.Operation) {
+  rpc SuggestTrials(SuggestTrialsRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/studies/*}/trials:suggest"
       body: "*"
@@ -157,7 +159,8 @@ service VizierService {
   // long-running operation. When the operation is successful,
   // it will contain a
   // [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
-  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest) returns (google.longrunning.Operation) {
+  rpc CheckTrialEarlyStoppingState(CheckTrialEarlyStoppingStateRequest)
+      returns (google.longrunning.Operation) {
     option (google.api.http) = {
       post: "/v1beta1/{trial_name=projects/*/locations/*/studies/*/trials/*}:checkTrialEarlyStoppingState"
       body: "*"
@@ -180,7 +183,8 @@ service VizierService {
   // optimal Trials for single-objective Study. The definition of
   // pareto-optimal can be checked in wiki page.
   // https://en.wikipedia.org/wiki/Pareto_efficiency
-  rpc ListOptimalTrials(ListOptimalTrialsRequest) returns (ListOptimalTrialsResponse) {
+  rpc ListOptimalTrials(ListOptimalTrialsRequest)
+      returns (ListOptimalTrialsResponse) {
     option (google.api.http) = {
       post: "/v1beta1/{parent=projects/*/locations/*/studies/*}/trials:listOptimalTrials"
       body: "*"
@@ -189,7 +193,8 @@ service VizierService {
   }
 }
 
-// Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
+// Request message for
+// [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].
 message GetStudyRequest {
   // Required. The name of the Study resource.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -201,7 +206,8 @@ message GetStudyRequest {
   ];
 }
 
-// Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
+// Request message for
+// [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].
 message CreateStudyRequest {
   // Required. The resource name of the Location to create the CustomJob in.
   // Format: `projects/{project}/locations/{location}`
@@ -216,7 +222,8 @@ message CreateStudyRequest {
   Study study = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+// Request message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
 message ListStudiesRequest {
   // Required. The resource name of the Location to list the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -236,7 +243,8 @@ message ListStudiesRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
+// Response message for
+// [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].
 message ListStudiesResponse {
   // The studies associated with the project.
   repeated Study studies = 1;
@@ -247,7 +255,8 @@ message ListStudiesResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
+// Request message for
+// [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].
 message DeleteStudyRequest {
   // Required. The name of the Study resource to be deleted.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -259,7 +268,8 @@ message DeleteStudyRequest {
   ];
 }
 
-// Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
+// Request message for
+// [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].
 message LookupStudyRequest {
   // Required. The resource name of the Location to get the Study from.
   // Format: `projects/{project}/locations/{location}`
@@ -274,7 +284,8 @@ message LookupStudyRequest {
   string display_name = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+// Request message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
 message SuggestTrialsRequest {
   // Required. The project and location that the Study belongs to.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -296,7 +307,8 @@ message SuggestTrialsRequest {
   string client_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
+// Response message for
+// [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].
 message SuggestTrialsResponse {
   // A list of Trials.
   repeated Trial trials = 1;
@@ -324,7 +336,8 @@ message SuggestTrialsMetadata {
   string client_id = 2;
 }
 
-// Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
+// Request message for
+// [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].
 message CreateTrialRequest {
   // Required. The resource name of the Study to create the Trial in.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -339,7 +352,8 @@ message CreateTrialRequest {
   Trial trial = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
+// Request message for
+// [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].
 message GetTrialRequest {
   // Required. The name of the Trial resource.
   // Format:
@@ -352,7 +366,8 @@ message GetTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+// Request message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
 message ListTrialsRequest {
   // Required. The resource name of the Study to list the Trial from.
   // Format: `projects/{project}/locations/{location}/studies/{study}`
@@ -372,7 +387,8 @@ message ListTrialsRequest {
   int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
+// Response message for
+// [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].
 message ListTrialsResponse {
   // The Trials associated with the Study.
   repeated Trial trials = 1;
@@ -383,7 +399,8 @@ message ListTrialsResponse {
   string next_page_token = 2;
 }
 
-// Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
+// Request message for
+// [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].
 message AddTrialMeasurementRequest {
   // Required. The name of the trial to add measurement.
   // Format:
@@ -399,7 +416,8 @@ message AddTrialMeasurementRequest {
   Measurement measurement = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
-// Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
+// Request message for
+// [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].
 message CompleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -425,7 +443,8 @@ message CompleteTrialRequest {
   string infeasible_reason = 4 [(google.api.field_behavior) = OPTIONAL];
 }
 
-// Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
+// Request message for
+// [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].
 message DeleteTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -438,7 +457,8 @@ message DeleteTrialRequest {
   ];
 }
 
-// Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+// Request message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateRequest {
   // Required. The Trial's name.
   // Format:
@@ -451,7 +471,8 @@ message CheckTrialEarlyStoppingStateRequest {
   ];
 }
 
-// Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
+// Response message for
+// [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].
 message CheckTrialEarlyStoppingStateResponse {
   // True if the Trial should stop.
   bool should_stop = 1;
@@ -471,7 +492,8 @@ message CheckTrialEarlyStoppingStateMetatdata {
   string trial = 3;
 }
 
-// Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
+// Request message for
+// [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].
 message StopTrialRequest {
   // Required. The Trial's name.
   // Format:
@@ -484,7 +506,8 @@ message StopTrialRequest {
   ];
 }
 
-// Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+// Request message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsRequest {
   // Required. The name of the Study that the optimal Trial belongs to.
   string parent = 1 [
@@ -495,7 +518,8 @@ message ListOptimalTrialsRequest {
   ];
 }
 
-// Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
+// Response message for
+// [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].
 message ListOptimalTrialsResponse {
   // The pareto-optimal Trials for multiple objective Study or the
   // optimal trial for single objective Study. The definition of